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  1. [img]https://i.postimg.cc/59CfpXHr/Mini-Tool-Power-Data-Recovery-Business-Deluxe-11-3-x64-Win-PE.jpg[/img] [b]File size: 295 MB[/b] MiniTool Power Data Recovery is a read-only File Recovery Software and Data Recovery Software. Power data recovery software could help you recover all your data no matter the data is lost by accidental deletion, format, re-partition, system crash or virus attack. Power data recovery is able to scan your device sector by sector to recover what ever left on your device. Power Data Recovery provide deep scan module which can scan and analyze raw data format including Microsoft Office files, digital graphics/pictures, audio/video files. Please visit deep scan page for complete raw file format list. [b]Feature[/b] Recover data after accidental deletion Recover data after an accidental format Recover data from an inaccessible volume (logical drive) Recover data after FAT corruption Recover data after repartition (fdisk) Recover data from a crashed physical device Recover data after an MBR corruption Recover data from a hard disk drive, camera card, USB drive, Zip, floppy disk Recover data for any error except physical damage Supports FAT 12/16/32 Supports NTFS Supports NTFS compressed and encrypted files Supports Dynamic Volume including Simple Volume, Spanned Volume, Stripe Volume, Mirror Volume and Raid Volume. Supports RAW data recovery Built-in preview function Built-in resume recovery function Built-in Recovery Wizard [b]Whats New[/b] [code]https://www.minitool.com/data-recovery-software/upgrade-history.html[/code] [b]HomePage:[/b] [code] https://www.minitool.com/ [/code] -:[color=#000000][u][b]DOWNLOAD FROM[/b][/u][/color][color=#FF0000] [u][b]LINKS[/b][/u][/color]:- [color=#ff6600][b]RapidGator[/b][/color] [code] https://rapidgator.net/file/568b86832d283198430ff83f0898e798/MiniTool.Power.Data.Recovery.Business.Deluxe.11.3.x64.WinPE..rar [/code] [color=#1261d0][b]NitroFlare[/b][/color] [code] https://nitroflare.com/view/262DBA7A55C247F/MiniTool.Power.Data.Recovery.Business.Deluxe.11.3.x64.WinPE..rar [/code]
  2. [img]https://i.postimg.cc/Gttp22Pd/Mini-Tool-Power-Data-Recovery-11-3-x64.jpg[/img] [b]Windows x86 | All Edition | File size: 102.73 MB[/b] MiniTool Power Data Recovery is a read-only File Recovery Software and Data Recovery Software. Power data recovery software could help you recover all your data no matter the data is lost by accidental deletion, format, re-partition, system crash or virus attack. Power data recovery is able to scan your device sector by sector to recover what ever left on your device. Power Data Recovery provide deep scan module which can scan and analyze raw data format including Microsoft Office files, digital graphics/pictures, audio/video files. Please visit deep scan page for complete raw file format list. [b]Feature overview[/b] • Recover data after accidental deletion • Recover data after an accidental format • Recover data from an inaccessible volume (logical drive) • Recover data after FAT corruption • Recover data after repartition (fdisk) • Recover data from a crashed physical device • Recover data after an MBR corruption • Recover data from a hard disk drive, camera card, USB drive, Zip, floppy disk • Recover data for any error except physical damage [b]Key Features[/b] • Supports FAT 12/16/32 • Supports NTFS • Supports NTFS compressed and encrypted files • Supports Dynamic Volume including Simple Volume, Spanned Volume, Stripe Volume, Mirror Volume and Raid Volume. • Supports RAW data recovery • Built-in preview function • Built-in resume recovery function • Built-in Recovery Wizard [b]What's new[/b] [code]https://www.minitool.com/data-recovery-software/upgrade-history.html[/code] [b]Operating System:[/b] Windows XP, Vista, Windows 7, Windows 8, Windows 8.1, Windows 10, Windows Server 2003, Windows Server 2008 (R2), Windows Server 2012. [b]Edition:[/b] Personal Standard, Deluxe, Ultimate / Business Standard, Deluxe, Enterprise, Technician [b]HomePage:[/b] [code] https://www.minitool.com/ [/code] -:[color=#000000][u][b]DOWNLOAD FROM[/b][/u][/color][color=#FF0000] [u][b]LINKS[/b][/u][/color]:- [color=#ff6600][b]RapidGator[/b][/color] [code] https://rapidgator.net/file/c8d198d311ccba0254b669cebfe0322a/MiniTool.Power.Data.Recovery.Personal._.Business.11.3..rar [/code] [color=#1261d0][b]NitroFlare[/b][/color] [code] https://nitroflare.com/view/270D03BB3B2F897/MiniTool.Power.Data.Recovery.Personal._.Business.11.3..rar [/code]
  3. [img]https://i.postimg.cc/Gttp22Pd/Mini-Tool-Power-Data-Recovery-11-3-x64.jpg[/img] [b]Windows x86 | All Edition | File size: 102.73 MB[/b] MiniTool Power Data Recovery is a read-only File Recovery Software and Data Recovery Software. Power data recovery software could help you recover all your data no matter the data is lost by accidental deletion, format, re-partition, system crash or virus attack. Power data recovery is able to scan your device sector by sector to recover what ever left on your device. Power Data Recovery provide deep scan module which can scan and analyze raw data format including Microsoft Office files, digital graphics/pictures, audio/video files. Please visit deep scan page for complete raw file format list. [b]Feature overview[/b] • Recover data after accidental deletion • Recover data after an accidental format • Recover data from an inaccessible volume (logical drive) • Recover data after FAT corruption • Recover data after repartition (fdisk) • Recover data from a crashed physical device • Recover data after an MBR corruption • Recover data from a hard disk drive, camera card, USB drive, Zip, floppy disk • Recover data for any error except physical damage [b]Key Features[/b] • Supports FAT 12/16/32 • Supports NTFS • Supports NTFS compressed and encrypted files • Supports Dynamic Volume including Simple Volume, Spanned Volume, Stripe Volume, Mirror Volume and Raid Volume. • Supports RAW data recovery • Built-in preview function • Built-in resume recovery function • Built-in Recovery Wizard [b]What's new[/b] [code]https://www.minitool.com/data-recovery-software/upgrade-history.html[/code] [b]Operating System:[/b] Windows XP, Vista, Windows 7, Windows 8, Windows 8.1, Windows 10, Windows Server 2003, Windows Server 2008 (R2), Windows Server 2012. [b]Edition:[/b] Personal Standard, Deluxe, Ultimate / Business Standard, Deluxe, Enterprise, Technician [b]HomePage:[/b] [code] https://www.minitool.com/ [/code] -:[color=#000000][u][b]DOWNLOAD FROM[/b][/u][/color][color=#FF0000] [u][b]LINKS[/b][/u][/color]:- [color=#ff6600][b]RapidGator[/b][/color] [code] https://rapidgator.net/file/d1e30e13907828b82fd072aaecd5c373/MiniTool.Power.Data.Recovery.11.3.x64..rar [/code] [color=#1261d0][b]NitroFlare[/b][/color] [code] https://nitroflare.com/view/F8DFBE7AAD6D983/MiniTool.Power.Data.Recovery.11.3.x64..rar [/code]
  4. Easy Data Transform 1.32.1 | macOS | 47 mb Transform your Excel and CSV files without programming with Easy Data Transform. Transform your Excel and CSV files without programming with Easy Data Transform. Features: Clean, re-format, merge, dedupe, filter and analyze table and list data on your Mac. Transform your data interactively, step by step using 36 built-in transforms. Transforms thousands of rows in the blink of an eye. No need to upload your sensitive data to a third party server. Compatibility:macOS 10.10 or later (Apple Silicon compatible) Homepage:https://www.easydatatransform.com Download From UploadCloud https://www.uploadcloud.pro/kx68d019r96k/8bt42.Easy.Data.Transform.1.32.1.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/31201eecd786Bb01/8bt42.Easy.Data.Transform.1.32.1.rar Download ( Rapidgator ) https://rapidgator.net/file/359a74b5593e07f0b693d484fcd48ffe/8bt42.Easy.Data.Transform.1.32.1.rar.html Download ( NitroFlare ) https://nitroflare.com/view/CE109E64DE5785D/8bt42.Easy.Data.Transform.1.32.1.rar Links are Interchangeable - No Password - Single Extraction
  5. Macrorit Data Wiper 6.2.0 + WinPE + Portable | 24.3/454 Mb One-stop Toolkit for Secure Erasing Data, Partitions and Disks. Completely wipe system/boot partition. Many program files are stored in system disk drive by default. If you or your organization want to permanently wipe disk drive to prevent your data from unauthorized using, this feature is necessary. Features: - New! Wipe unallocated/free space with fast wiping algorithm. - New! Built in brand-new Macrorit algorithm for fast wipe NTFS partition. - Completely wipe disk or a separate partition, USB drive, external hard drive, etc. - Irreversibly erase sensitive data easily and quickly. - System or boot partition can be wiped directly without limitation. - Allows commercial use and provides charged service to your customers. - Full newest Windows 8.1 and Windows 8/7/XP/Vista, Server 2003/2008/2012 and Home Server 2011, Windows SBS 2003/2008/2011/2012 (both 32 & 64 bit) support. - Completely wipe system/boot partition. Many program files are stored in system disk drive by default. If you or your organization want to permanently wipe disk drive to prevent your data from unauthorized using, this feature is necessary. - Commercial use means IT Pros, technical service providers, or other organizations have authority to provide charged technical services to help diverse clients. - Periodic friendly notifications. Rest assured that you or your organization will always know about the latest updates and improvements to Macrorit perpetual software. Features at a Glance! - New! Wipe unallocated/free space with fast and secure wiping algorithm. - New! Built in brand-new Macrorit algorithm for fast wipe NTFS partition. - New! Includes both portable and standard install package. Small size with faster process speed and less CPU resouce. - New! Upgraded to the famous Windows 8 / Office 2013 user interface. - New! Bugs fixed in previous version. - Quickly and efficiently sanitize the hard disks and wipe/erase exactly what you need. - Wipe hard disks or separate partitions (system, boot partitions; primary, extended or logical). - 6 wiping methods irreversibly destroy all on-disk data. - Quickly and efficiently sanitize the hard disks and wipe/erase exactly what you need. - It rarely occupies system resource. - Extremely easy to manage and understand Windows style. - Support for the latest HDD standards (Advanced Format Drive), 2TB+ and non-512B sector size drives. - Support large IDE, SCSI, SATA and newGPT/uEFI-formatted hard disks, USB 1.0, USB 2.0, USB 3.0 flash memory drives. - Common FAT16/32, NTFS file systems are supported. - Well compatible with latest Windows 8.1 and Windows 8/7/XP/Vista, Server 2003/2008/2012 and Home Server 2011, Windows SBS 2003/2008/2011/2012 (both 32 & 64 bit) - Support GPT disk up to 4TB. - Support all hardware RAID wipe operation, such as RAID 0, 1, 5, 10, etc. - Wipe virtual hard drive in VMware, Virtual Box and Virtual PC. Operating System:Windows Server 2022/2019/2016/2012/2008/2003 and Windows 11, 10, 8, 7, Vista and XP (Both 32& 64 bit) Home Page-https://macrorit.com/ Visit All My News Download From UploadCloud https://www.uploadcloud.pro/s4uqfa61hmfi/d6uvx.MacroritDataWiper6.rar.html https://www.uploadcloud.pro/cvepivpz7hlf/d6uvx.WiperWinPE6.2.0.Unlimited.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/0fe02e8e1487cf55/d6uvx.MacroritDataWiper6.rar https://uploadgig.com/file/download/00DA389391c8e65a/d6uvx.WiperWinPE6.2.0.Unlimited.rar Download ( Rapidgator ) https://rapidgator.net/file/ba337671d17f030a9b4c09b72141c759/d6uvx.MacroritDataWiper6.rar.html https://rapidgator.net/file/0a5ce6b7163cb3e6536b0fe0e0634490/d6uvx.WiperWinPE6.2.0.Unlimited.rar.html Download ( NitroFlare ) https://nitroflare.com/view/9C717D31B18BBF4/d6uvx.MacroritDataWiper6.rar https://nitroflare.com/view/42F7460365B3D91/d6uvx.WiperWinPE6.2.0.Unlimited.rar Links are Interchangeable - No Password - Single Extraction
  6. [img]https://i.postimg.cc/gc3W4P1H/Macrorit-Data-Wiper-6-2-Win-PE.jpg[/img] [b]All Editions | File size: 10/454 MB[/b] One-stop Toolkit for Secure Erasing Data, Partitions and Disks. Completely wipe system/boot partition. Many program files are stored in system disk drive by default. If you or your organization want to permanently wipe disk drive to prevent your data from unauthorized using, this feature is necessary. [b]WHY DATA WIPER PRO + EDITION[/b] WIPE FREE SPACE Keeps system intact and free space clear of sensitive data WIPE HARD DRIVE Wipe non-system disk all partitions on HDD or SSD with one click WIPE PARTITION/VOLUME Wipe certain data partition or non-system volume WIPE EXTERNAL DRIVES Wipe USB flash drives, memory sticks, micro SD cards or TF cards WIPE SYSTEM DRIVE Wipe C Drive, or system partition without bootable CD FREE UPGRADE Lifetime free upgrade services on Pro + Edition COMMERCIAL USE Allow commercial use on Data Wiper Pro + Edition Wipe Recycle Bin Permanently wipe files in Recycle bin (unlimited files) [b]Main Features[/b] Completely wipe system/boot partition. Many program files are stored in system disk drive by default. If you or your organization want to permanently wipe disk drive to prevent your data from unauthorized using, this feature is necessary Commercial use means IT Pros, technical service providers, or other organizations have authority to provide charged technical services to help diverse clients Free lifetime upgrade gives you continually upgraded features for Free. You can take the guesswork out of software budgeting by paying for tomorrow's software at today's prices Periodic friendly notifications. Rest assured that you or your organization will always know about the latest updates and improvements to Macrorit perpetual software Difference between Pro and Unlimited Edition is that Unlimited Edition means one code multiple pcs in one company Securely Wipe Free Space - No Recover Chance For privacy and security purpose, you can use Macrorit Disk Partition Wiper Pro Edition to securely wipe free space without any chance of recovery [b]Other features of Data Wiper[/b] Quickly and efficiently sanitize the hard disks and wipe/erase exactly what you need Wipe hard disks or separate partitions (system, boot partitions; primary, extended or logical) 5 wiping methods irreversibly destroy all on-disk data Quickly and efficiently sanitize the hard disks and wipe/erase exactly what you need It rarely occupies system resource Extremely easy to manage and understand Windows style Support for the latest HDD standards (Advanced Format Drive), 2TB+ and non-512B sector size drives Support large IDE, SCSI, SATA and newGPT/uEFI-formatted hard disks, USB 1.0, USB 2.0, USB 3.0 flash memory drives Common FAT16/32, NTFS file systems are supported Well compatible with latest Windows 10 and Windows 9/8/7/XP/Vista, Server 2003/2008/2012 and Home Server 2011, Windows SBS 2003/2008/2011/2012 (both 32 & 64 bit) Support GPT disk up to 4TB Support all hardware RAID wipe operation, such as RAID 0, 1, 5, 10, etc Wipe virtual hard drive in VMware, Virtual Box and Virtual PC [b]Whats New[/b] Updates: official site does not provide any info about changes in this version. [b]HomePage:[/b] [code] http://macrorit.com [/code] -:[color=#000000][u][b]DOWNLOAD FROM[/b][/u][/color][color=#FF0000] [u][b]LINKS[/b][/u][/color]:- [color=#ff6600][b]RapidGator[/b][/color] [code] https://rapidgator.net/file/2399541d61f05c6981ece5f51c541557/Macrorit.Data.Wiper.6.2._.WinPE.rar [/code] [color=#1261d0][b]NitroFlare[/b][/color] [code] https://nitroflare.com/view/3B7A42337161EF1/Macrorit.Data.Wiper.6.2.%2B.WinPE.rar [/code]
  7. MiniTool Power Data Recovery 11.3 (x64) Multilingual All Editions Portable | 1.16 Gb MiniTool Data Recovery Business Technician is a special license designed for data recovery service providers & company runners who need to provide customers with quality data recovery services. This license type is used to recover data for enterprises, service providers, IT admins, academics, organizations, etc. Missing Operating System Operating system not found? Missing operating system? Operating system crashes? Now, with MiniTool, you can effectively and safely recover data when operating system cannot boot. Format Or RAW Recovery Format partition, disk, SD card, USB drive accidentally? Hard drive becomes RAW? MiniTool can effectively recover data from damaged, formatted and RAW partition without any further damage. Email Recovery Safely recover Microsoft Outlook or Outlook Express emails that are most important for your business from hard drive, memory card, USB drive and other removable devices. Deleted Files Recovery Accidentally deleted files? Don't worry, MiniTool Power Data Recovery can get valuable document, image, video, and audio files deleted unexpectedly back easily and quickly. Operating System: Windows 7/8/10/11 and Windows Server 2003/2008/2012/2016 Home Page-https://www.minitool.com/ Language:Multilingual [b] Download From UploadCloud https://www.uploadcloud.pro/331o3ndowgda/76ufh.MiniTool.Power.Data.Recovery.11.3.x64.Multilingual.Portable.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/a59a80271c36e49f/76ufh.MiniTool.Power.Data.Recovery.11.3.x64.Multilingual.Portable.rar Download ( Rapidgator ) https://rapidgator.net/file/11f106375dfa2c503ee12d414bc955d5/76ufh.MiniTool.Power.Data.Recovery.11.3.x64.Multilingual.Portable.rar.html Download ( NitroFlare ) https://nitroflare.com/view/EFF550F5B20BC4B/76ufh.MiniTool.Power.Data.Recovery.11.3.x64.Multilingual.Portable.rar Links are Interchangeable - No Password - Single Extraction
  8. [img]https://i.postimg.cc/cJZ33PGb/Macrorit-Data-Wiper-6-1-Win-PE.jpg[/img] [b]All Editions | File size: 10.3/454 MB[/b] One-stop Toolkit for Secure Erasing Data, Partitions and Disks. Completely wipe system/boot partition. Many program files are stored in system disk drive by default. If you or your organization want to permanently wipe disk drive to prevent your data from unauthorized using, this feature is necessary. [b]WHY DATA WIPER PRO + EDITION[/b] WIPE FREE SPACE Keeps system intact and free space clear of sensitive data WIPE HARD DRIVE Wipe non-system disk all partitions on HDD or SSD with one click WIPE PARTITION/VOLUME Wipe certain data partition or non-system volume WIPE EXTERNAL DRIVES Wipe USB flash drives, memory sticks, micro SD cards or TF cards WIPE SYSTEM DRIVE Wipe C Drive, or system partition without bootable CD FREE UPGRADE Lifetime free upgrade services on Pro + Edition COMMERCIAL USE Allow commercial use on Data Wiper Pro + Edition Wipe Recycle Bin Permanently wipe files in Recycle bin (unlimited files) [b]Main Features[/b] Completely wipe system/boot partition. Many program files are stored in system disk drive by default. If you or your organization want to permanently wipe disk drive to prevent your data from unauthorized using, this feature is necessary Commercial use means IT Pros, technical service providers, or other organizations have authority to provide charged technical services to help diverse clients Free lifetime upgrade gives you continually upgraded features for Free. You can take the guesswork out of software budgeting by paying for tomorrow's software at today's prices Periodic friendly notifications. Rest assured that you or your organization will always know about the latest updates and improvements to Macrorit perpetual software Difference between Pro and Unlimited Edition is that Unlimited Edition means one code multiple pcs in one company Securely Wipe Free Space - No Recover Chance For privacy and security purpose, you can use Macrorit Disk Partition Wiper Pro Edition to securely wipe free space without any chance of recovery [b]Other features of Data Wiper[/b] Quickly and efficiently sanitize the hard disks and wipe/erase exactly what you need Wipe hard disks or separate partitions (system, boot partitions; primary, extended or logical) 5 wiping methods irreversibly destroy all on-disk data Quickly and efficiently sanitize the hard disks and wipe/erase exactly what you need It rarely occupies system resource Extremely easy to manage and understand Windows style Support for the latest HDD standards (Advanced Format Drive), 2TB+ and non-512B sector size drives Support large IDE, SCSI, SATA and newGPT/uEFI-formatted hard disks, USB 1.0, USB 2.0, USB 3.0 flash memory drives Common FAT16/32, NTFS file systems are supported Well compatible with latest Windows 10 and Windows 9/8/7/XP/Vista, Server 2003/2008/2012 and Home Server 2011, Windows SBS 2003/2008/2011/2012 (both 32 & 64 bit) Support GPT disk up to 4TB Support all hardware RAID wipe operation, such as RAID 0, 1, 5, 10, etc Wipe virtual hard drive in VMware, Virtual Box and Virtual PC [b]Whats New[/b] Updates: official site does not provide any info about changes in this version. [b]HomePage:[/b] [code] http://macrorit.com [/code] -:[color=#000000][u][b]DOWNLOAD FROM[/b][/u][/color][color=#FF0000] [u][b]LINKS[/b][/u][/color]:- [color=#ff6600][b]RapidGator[/b][/color] [code] https://rapidgator.net/file/449e0db2417b4b3c1d9610ba019bba79/Macrorit.Data.Wiper.6.1._.WinPE.rar [/code] [color=#1261d0][b]NitroFlare[/b][/color] [code] https://nitroflare.com/view/FB97026E699A3CE/Macrorit.Data.Wiper.6.1.%2B.WinPE.rar [/code]
  9. [img]https://i.postimg.cc/44MDw7wN/EDT1-32-0-x.png[/img] [b]File size: 47.7 MB | (x64)[/b] Easy Data Transform is suitable for a wide range of data transformation tasks, including Transform Your Data Into Information Merge, split, clean, dedupe, reformat and more without coding [b]Features[/b] Joining multiple data tables Changing CSV file delimiters and encodings Filtering and analysing log files Merging and deduping email and address lists Restructuring data table columns Reformatting dates and numbers [b]What's New[/b] [code]https://www.easydatatransform.com/news.html[/code] [b]HomePage:[/b] [code] https://www.easydatatransform.com [/code] -:[color=#000000][u][b]DOWNLOAD FROM[/b][/u][/color][color=#FF0000] [u][b]LINKS[/b][/u][/color]:- [color=#ff6600][b]RapidGator[/b][/color] [code] https://rapidgator.net/file/a8de2ef32952b2de168f3144f0752e70/EDT1.32.0.x.rar [/code] [color=#1261d0][b]NitroFlare[/b][/color] [code] https://nitroflare.com/view/61E6737FDBC39A1/EDT1.32.0.x.rar [/code]
  10. Duration: 1h 36m | Video: .MP4, 1280x720, 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 837 MB Genre: eLearning | Language: English Data Visualization Essentials with Plotly and Python introduces you to the popular Plotly library for Python. In this course you'll learn how to create interactive plots with Plotly and Python. This is one of the most in demand skills required for a data science career path! This goal of this course is to bring your Data Visualization Skills to the next level to build your career in Data Science, Finance or Business Analytics. Since this is intermediate Python you are required to already master the basics of Python before enrolling into this class. Some basic knowledge of Pandas, the most used Python Library for Data Science is also required. Once you have a grasp on Python and Pandas Basics, you can move on to Plotly. My advice is to first check my other classes on Python and Pandas published here on SkillShare; they will help you build a strong foundation of Python Programming Language. In this course we'll get the skills to get ahead! Major topics of this course Installing and Using Jupyter Notebook. Installing Plotly in Python 3 Creating Scatter Plots Creating Line Charts PROJECT: Line Charts for Ethereum andTesla Stock Price PROJECT SOLUTION: Line Charts forEthereum and Tesla Stock Price Creating Basic Bar Charts Creating Basic Bar Charts Creating Pie Charts Creating Histograms and more! Homepage https://www.skillshare.com/classes/Data-Visualization-Essentials-with-Plotly-and-Python/945332078 Download from UploadCloud https://www.uploadcloud.pro/26mkqz9r9dy0/hzhmd.Data.Visualization.Essentials.with.Plotly.and.Python.rar.html Download ( Rapidgator ) https://rapidgator.net/file/b12cacb483f2d3d809cff6ea4a4e9382/hzhmd.Data.Visualization.Essentials.with.Plotly.and.Python.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/b7a0ba7977aa7784/hzhmd.Data.Visualization.Essentials.with.Plotly.and.Python.rar Download ( NitroFlare ) https://nitroflare.com/view/61A1206F11C086A/hzhmd.Data.Visualization.Essentials.with.Plotly.and.Python.rar Links are Interchangeable - No Password - Single Extraction
  11. Published 08/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 135 lectures (10h 9m) | Size: 3.48 GB Practical Data Management Course. Learn the best practices and specifics for every Data Management subject area What you'll learn What is Data Management from A to Z All the different Data Management subject areas Best Practices on Data Management from the Industry How to implement Data Management practices within your organization Requirements You do not need prior knowledge since we are starting from the basics Description **Learn quickly with my Data Management Course that covers the latest best practices from the Data Industry** The course is structured in such a way that makes it easy for absolute beginners to get started! Every Data Management subject area is covered in a separate course section where we will cover all you need to know in terms of processes, people, technology and best practices. This course will give you a deep understanding of the Data Management discipline by using hands-on, contextual examples designed to showcase why Data Management is important and how how to use Data Management principles to manage the data in your organization. In this Data Management course you will learn · What is Data Management · The different Data Management Subject Areas · Data Governance · Data Architecture · Data Modeling and Design · Data Storage and Operations · Data Security · Data Integration · Document and Content Management · Master & Reference Data Management · Metadata Management · Data Quality · Data Warehousing and Business Intelligence ... and a lot of tips and tricks from 10+ years of experience! Enroll today and enjoy Lifetime access to the course and all future updates 10 hours of high quality, up to date video lectures Practical Data Management course with step by step instructions on how to implement the different techniques Thanks again for checking out my course and I look forward to seeing you in the classroom! Who this course is for Data Professionals that want to gain complete understanding of Data Management Managers that need to understand the principles of Data Management Anyone that wants to have a complete understanding of Data Management Homepage https://www.udemy.com/course/data-management-masterclass-the-complete-course/ Download ( Rapidgator ) https://rapidgator.net/file/64456d3c64b00ee2c1cf7676f09463de/yvyut.Data.Management.Masterclass..The.Complete.Course.part1.rar.html https://rapidgator.net/file/8c94bb1c2d1776e8bee144efbe04f381/yvyut.Data.Management.Masterclass..The.Complete.Course.part4.rar.html https://rapidgator.net/file/bfa154b2c9f712a0de61acfdcb335fc9/yvyut.Data.Management.Masterclass..The.Complete.Course.part3.rar.html https://rapidgator.net/file/c99372e21c0eced1530f72c7a9a01ab0/yvyut.Data.Management.Masterclass..The.Complete.Course.part2.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/5bF01482CcFb5d68/yvyut.Data.Management.Masterclass..The.Complete.Course.part3.rar https://uploadgig.com/file/download/7D33b0F73Ec24f7d/yvyut.Data.Management.Masterclass..The.Complete.Course.part2.rar https://uploadgig.com/file/download/b81dDcc7ab0051a2/yvyut.Data.Management.Masterclass..The.Complete.Course.part4.rar https://uploadgig.com/file/download/feaf60b772F8b3Fd/yvyut.Data.Management.Masterclass..The.Complete.Course.part1.rar Download ( NitroFlare ) https://nitroflare.com/view/0B5D11004C25B31/yvyut.Data.Management.Masterclass..The.Complete.Course.part4.rar https://nitroflare.com/view/26E4605BBF0A8C4/yvyut.Data.Management.Masterclass..The.Complete.Course.part1.rar https://nitroflare.com/view/5B53F5638CCB05E/yvyut.Data.Management.Masterclass..The.Complete.Course.part2.rar https://nitroflare.com/view/CCEF0D4EEE5C414/yvyut.Data.Management.Masterclass..The.Complete.Course.part3.rar Links are Interchangeable - No Password - Single Extraction
  12. Last updated 3/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 635.23 MB | Duration: 1h 36m Hands-on Beginner Data Exploration Project for Aspiring Data Analyst. What you'll learn Create Database Table Joins Create Common table expression - CTE Use Windows function to perform calculations on data Use Aggregate functions to return aggregated data Create and query views Perform data type conversions Explore Real World Covid DataSets Write SQL Queries to get answers from the database Requirements Basic knowledge of SQL advised Description SQL stands for Structured Query Language. SQL lets you access and manipulate databasesSQL can execute queries against a databaseSQL can retrieve data from a databaseSQL can insert records in a databaseSQL can update records in a databaseSQL can delete records from a databaseSQL can create new databasesSQL can create new tables in a databaseSQL can create stored procedures in a databaseSQL can create views in a databaseSQL can set permissions on tables, procedures, and viewsData exploration is the initial step in data analysis, where users explore a large data set in an unstructured way to uncover initial patterns, characteristics, and points of interest. This process isn't meant to reveal every bit of information a dataset holds, but rather to help create a broad picture of important trends and major points to study in greater detail. Data exploration can use a combination of manual methods and automated tools such as data visualizations, charts, and initial reports.Exploratory Data Analysis (EDA) is the first step in your data analysis process. Here, you make sense of the data you have and then figure out what questions you want to ask and how to frame them, as well as how best to manipulate your available data sources to get the answers you need. You do this by taking a broad look at patterns, trends, outliers, unexpected results and so on in your existing data, using visual and quantitative methods to get a sense of the story this tells. You're looking for clues that suggest your logical next steps, questions or areas of research. Overview Section 1: SQL Server Setup Lecture 1 Introduction Lecture 2 Download SQL Server Lecture 3 Install SQL Server Lecture 4 Install SSMS Lecture 5 Create database Section 2: Data Exploration with SQL Lecture 6 Data Preparation Lecture 7 Importing Datasets into database Lecture 8 How many continents do we have data for Lecture 9 Possibility of dying from Covid Lecture 10 Percent of population infected with Covid Lecture 11 Countries with highest infection per population Lecture 12 Countries with highest deaths from COVID19 Lecture 13 Continents with highest deaths from COVID19 Lecture 14 Global Covid cases and death Lecture 15 Number of people vaccinated Lecture 16 Using CTE in SQL Server Lecture 17 Using Temporary Tables in SQL Server Lecture 18 Using Views in SQL Server Beginner Data Analyst,Beginner Data Scientist Homepage https://www.udemy.com/course/sql-data-exploration-for-beginner-data-analyst/ Download ( Rapidgator ) https://rapidgator.net/file/beb26dd471d01c014066da0a531314be/qozcq.Sql.Data.Exploration.For.Beginner.Data.Analyst.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/36aaf106d86BaD6d/qozcq.Sql.Data.Exploration.For.Beginner.Data.Analyst.rar Download ( NitroFlare ) https://nitroflare.com/view/391423BD57B6394/qozcq.Sql.Data.Exploration.For.Beginner.Data.Analyst.rar Links are Interchangeable - No Password - Single Extraction
  13. Published 08/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 23 lectures (3h 47m) | Size: 2.11 GB Learn the popular tools and libraries for AI, ML and Data Science in our all in one course What you'll learn Learn the most important tools for mastering AI, ML and Data Science Learn to use Pandas and Numpy Learn to use matplotlib and seaborn libraries Learn the fundamentals of Data analysis Requirements Basic knowledge of Python is required to complete this course Description Do you want to learn the most important tools of Artificial intelligence and Machine Learning? Then we've got a perfectly designed course for you. Artificial Intelligence has enabled the processing of a large number of data and its use in the domain. There are several tools, frameworks, and libraries available to data scientists and developers, but knowing when and how to use these tools is a must. This course on basic artificial intelligence tools will help you gain this knowledge practically. Major Topics This Course Covers Pandas and NumPy Matplotlib and Seaborn Scikit Learn and Scipy Exploratory Data Analysis To become a successful data scientist or developer, you need to master these above libraries. These AI libraries will help you build reliable AI projects. In this course, you'll learn how to use these tools to visualize data and prepare data sets for AI and machine learning projects. You'll also learn how to use these tools to build projects from scratch. In this course, we'll be covering topics that will help you learn how to validate AI models and interpret models. The course curriculum features real examples that will help you learn all the tool features efficiently. So why are you waiting now? Start your journey to become a complete AI specialist with this course! See You In Class! Who this course is for Anyone who wants to quickly master the most important tools for AI&ML will find this course very useful Homepage https://www.udemy.com/course/libraries-in-python-for-aiml-data-science/ Download ( Rapidgator ) https://rapidgator.net/file/0d1d65753ebeb94ad8ee6db57129a70d/scmlk.Libraries.in.Python.For.AIML..Data.Science.part3.rar.html https://rapidgator.net/file/8bf272329f36d93d67d3cb817b2ed90b/scmlk.Libraries.in.Python.For.AIML..Data.Science.part2.rar.html https://rapidgator.net/file/939865884213bf32a59f19788ec57b3e/scmlk.Libraries.in.Python.For.AIML..Data.Science.part1.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/54b433978A5d25e8/scmlk.Libraries.in.Python.For.AIML..Data.Science.part2.rar https://uploadgig.com/file/download/565C97ceb8a41e16/scmlk.Libraries.in.Python.For.AIML..Data.Science.part3.rar https://uploadgig.com/file/download/acc6b06b3434e343/scmlk.Libraries.in.Python.For.AIML..Data.Science.part1.rar Download ( NitroFlare ) https://nitroflare.com/view/5E73C921C0E0536/scmlk.Libraries.in.Python.For.AIML..Data.Science.part3.rar https://nitroflare.com/view/DA6391DE6DA9FF5/scmlk.Libraries.in.Python.For.AIML..Data.Science.part1.rar https://nitroflare.com/view/F9E99C0CBE8E777/scmlk.Libraries.in.Python.For.AIML..Data.Science.part2.rar Links are Interchangeable - No Password - Single Extraction
  14. Published 08/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 70 lectures (4h 31m) | Size: 1.76 GB Master from scratch number, data representation & ace computer organization, computer architecture exams! What you'll learn What is a computer? Basic computer organization What is a program? Generations of programming languages What is machine language and assembly language? What are high-level languages? What is the computer level hierarchy in modern computers? What is hardware? What is software? What is von Neumann machine? How do instructions execute in a modern computer? What is multi-core processor? What are bits and bytes? What are binary numbers? How to convert binary numbers to decimal? How to convert decimal numbers to binary? What are hexadecimal numbers and why are they needed? What is the range of numbers that can be expressed in a given memory space? How to add binary numbers? What is arithmetic overflow? How to prevent overflow in C++ programs? How to represent negative integers in computer's memory? How to convert an integer into twos complement representation? How to add twos complement numbers? How to detect overflow in twos complement number addition? What is zero extension and sign extension? What are floating point numbers? What is the IEEE floating point representation? How to convert a real number from decimal to binary format? How to represent a decimal number in IEEE floating point representation? What are the reserved bit patterns in IEEE floating point format? What are the errors introduced in computation due to floating point representation? How to minimize approximation errors in floating point computations? What is ASCII character representation? What is Unicode character representation? How are images represented in our computer's memory? How is sound represented in a computer's memory? Requirements No previous knowledge about computer organization needed. Everything you need to know about the topics will be covered. Description When purchasing a new computer, have you wondered what "3," "5," and "7" mean in Core i3, i5, or i7? (Hint: these are not the number of cores in the processor!) Did you know that when comparing two floating point variables, using the "==" in your programs may return False even though the variables are expected to be equal? ("==" is not the best way to compare two float variables!) Learn the explanations to these and many more intriguing questions in this course! Ace data representation, number representation, twos complement, IEEE floating point representation, binary arithmetic questions in competitive exams, job interviews, and computer organization and architecture course exams. Genuinely understand the representation of various kinds of data (including integers, real numbers, negative numbers, characters, images, and sound) in modern computers. Specifically, the course will cover the following in detail. What is a computer? Basic computer organization What is a program? Generations of programming languages What is machine language and assembly language? What are high-level languages? What is the computer level hierarchy in modern computers? What is hardware? What is software? What is von Neumann machine? How do instructions execute in a modern computer? What is multi-core processor? What are bits and bytes? What are binary numbers? How to convert binary numbers to decimal? How to convert decimal numbers to binary? What are hexadecimal numbers and why are they needed? What is the range of numbers that can be expressed in a given memory space? How to add binary numbers? What is arithmetic overflow? How to prevent overflow in C++ programs? How to represent negative integers in computer's memory? How to convert an integer into twos complement representation? How to add twos complement numbers? How to detect overflow in twos complement number addition? What is zero extension and sign extension? What are floating point numbers? What is the IEEE floating point representation? How to convert a real number from decimal to binary format? How to represent a decimal number in IEEE floating point representation? What are the reserved bit patterns in IEEE floating point format? What are the errors introduced in computation due to floating point representation? How to minimize approximation errors in floating point computations? What is ASCII character representation? What is Unicode character representation? How are images represented in our computer's memory? How is sound represented in a computer's memory? 30 day money back guaranteed by Udemy. Wisdom scholarships. If you are interested in taking one of our courses but cannot purchase it, you can apply for a scholarship to enroll. Learn more about the application process at my website. Who this course is for Computer science undergraduate students taking a computer organization or computer architecture course could benefit from the course. Anyone interested in learning about number and data representation in computers could benefit from this course. Anyone interested in learning about introduction to computer organization could benefit from this course. 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  15. Last updated 7/2020 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 149.75 MB | Duration: 1h 38m Learn to interact with data in Apache Spark through sparklyr and simplify machine learning model implementations. What you'll learn Learn to perform exploratory data analysis in Spark using sparklyr Understand the differences between working with data frames in R and Spark Learn how to connect to Spark locally or to a remote Spark cluster Learn how to build data products in R that don't rely on storing big data locally Learn how to interact with data in Apache Spark through sparklyr and Spark SQL Requirements A PC or Mac Internet Access Description Welcome to this course: Data Science - Sparklyr Basics for Beginners. Apache Spark has been increasingly adopted for the development of distributed applications. In the past year, transforming the world using data is typically achieved through disrupting and changing real processes in real industries. In order to operate at this level you need to build data science solutions of substance -solutions that solve real problems. Spark SQL APIs provide an optimized interface that helps developers build such applications quickly and easily. In this course, you'll learn Understand the differences between working with data frames in R and SparkLearn to perform exploratory data analysis in Spark using sparklyrLearn how to connect to Spark locally or to a remote Spark clusterLearn how to build data products in R that don't rely on storing big data locallyLearn how to interact with data in Apache Spark through sparklyr and Spark SQL At the end of this course, you will learn to use Spark as a big data operating system, understand how to implement advanced analytics on the new APIs, and explore how easy it is to use Spark in day-to-day tasks. Overview Section 1: Welcome Lecture 1 Introduction Section 2: Spark and Sparklyr Lecture 2 Introduction Lecture 3 Sparklyr Deployment Options Lecture 4 Running Spark And R Lecture 5 Sparklyr Livy Connections Section 3: Getting Acquainted Lecture 6 Set Up RStudio Lecture 7 Spark Data Tables and R Data References Lecture 8 Sparklyr Cheat Sheet Section 4: Sparklyr And SparkSQL Lecture 9 Dplyr Basics Lecture 10 Dplyr Basics - 2 Lecture 11 Dplyr Basics - 3 Lecture 12 Lazy Execution Lecture 13 Programming In Dplyr Lecture 14 Extending Sparklyr With Replyr Section 5: Hands-On Analysis Project Lecture 15 Introduction Lecture 16 Exploratory Analysis Lecture 17 ML Feature Generation - 1 Lecture 18 ML Feature Generation - 2 Section 6: Course Summary Lecture 19 Summary Section 7: Working Files Lecture 20 Working Files Lecture 21 Thank You Web Developers,Software Developers,Anyone who wants to learn Spark,Anyone interested in data science Homepage https://www.udemy.com/course/learning-sparklyr-basics/ Download ( Rapidgator ) https://rapidgator.net/file/a709930da7e44cc23c05692b954d952d/mgigr.Data.Science.Sparklyr.Basics.For.Beginners.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/9Be314CA016090fD/mgigr.Data.Science.Sparklyr.Basics.For.Beginners.rar Download ( NitroFlare ) https://nitroflare.com/view/8E9BC022550B84C/mgigr.Data.Science.Sparklyr.Basics.For.Beginners.rar Links are Interchangeable - No Password - Single Extraction
  16. Last updated 8/2019 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 1.86 GB | Duration: 4h 33m Achieve your marketing goals with the data analytics power of Python What you'll learn Analyze and visualize data in Python using pandas and Matplotlib Study clustering techniques, such as hierarchical and k-means clustering Create customer segments based on manipulated data Predict customer lifetime value using linear regression Use classification algorithms to understand customer choice Optimize classification algorithms to extract maximum information Requirements It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary. Description Data Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments.The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation. As you make your way through the chapters, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding chapters, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices.By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions.About the AuthorTommy Blanchard earned his Ph.D. from the University of Rochester and did his postdoctoral training at Harvard. Now, he leads the data science team at Fresenius Medical Care North America. His team performs advanced analytics and creates predictive models to solve a wide variety of problems across the company.Debasish Behera works as a Data Scientist for a large Japanese corporate bank, where he applies machine learning/AI for solving complex problems. He has worked on multiple use cases involving AML, predictive analytics, customer segmentation, chat bots, and natural language processing. He currently lives in Singapore and holds a Master's in Business Analytics (MITB) from Singapore Management University.Pranshu Bhatnagar works as a Data Scientist in the telematics, insurance and mobile software space. He has previously worked as a Quantitative Analyst in the FinTech industry and often writes about algorithms, time series analysis in Python, and similar topics. He graduated with honours from the Chennai Mathematical Institute with a degree in Mathematics and Computer Science and has done certification courses in Machine Learning and Artificial Intelligence from the International Institute of Information Technology, Hyderabad. He is based out of Bangalore, India.Candas Bilgin is an experienced Data Science Specialist with a demonstrated history of working in the hospital & health care industry. Skilled in Python, R, Machine Learning, Predictive Analytics, and Data Science. Strong engineering professional with a Master of Science (M.Sc.) focused in Electrical, Electronics and Communications Engineering from Yildiz Technical University. He is a Microsoft Certified Data Scientist and also a Certified Tableau Developer. Overview Section 1: Data Preparation and Cleaning Lecture 1 Course Overview Lecture 2 Lesson Overview Lecture 3 Data Models and Structured Data Lecture 4 Pandas Lecture 5 Data Manipulation Lecture 6 Summary Section 2: Data Exploration and Visualization Lecture 7 Lesson Overview Lecture 8 Identifying the Right Attributes Lecture 9 Generating Targeted Insights Lecture 10 Visualizing Data Lecture 11 Summary Section 3: Unsupervised Learning: Customer Segmentation Lecture 12 Lesson Overview Lecture 13 Customer Segmentation Methods Lecture 14 Similarity and Data Standardization Lecture 15 k-means Clustering Lecture 16 Summary Section 4: Choosing the Best Segmentation Approach Lecture 17 Lesson Overview Lecture 18 Choosing the Number of Clusters Lecture 19 Different Methods of Clustering Lecture 20 Evaluation Clustering Lecture 21 Summary Section 5: Predicting Customer Revenue Using Linear Regression Lecture 22 Lesson Overview Lecture 23 Feature Engineering for Regression Lecture 24 Performing and Interpreting Linear Regression Lecture 25 Summary Section 6: Other Regression Techniques and Tools for Evaluation Lecture 26 Lesson Overview Lecture 27 Evaluating the Accuracy of a Regression Model Lecture 28 Using Regularization for Feature Selection Lecture 29 Tree Based Regression Models Lecture 30 Summary Section 7: Supervised Learning - Predicting Customer Churn Lecture 31 Lesson Overview Lecture 32 Understanding Logistic Regression Lecture 33 Creating a Data Science Pipeline Lecture 34 Modeling the Data Lecture 35 Summary Section 8: Fine-Tuning Classification Algorithms Lecture 36 Lesson Overview Lecture 37 Support Vector Machines Lecture 38 Decision Trees and Random Forests Lecture 39 Pre-processing Data and Model Evaluation Lecture 40 Performance Metrics Lecture 41 Summary Section 9: Modeling Customer Choice Lecture 42 Lesson Overview Lecture 43 Understanding Multiclass Classification Lecture 44 Class Imbalanced Data Lecture 45 Summary Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. 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  17. [img]https://i.postimg.cc/g2x63dRf/EDT1-32-0-m.png[/img] [b]File size: 48 MB[/b] Transform your Excel and CSV files without programming with Easy Data Transform. [b]Features[/b] Clean, re-format, merge, dedupe, filter and analyze table and list data on your Mac. Transform your data interactively, step by step using 36 built-in transforms. Transforms thousands of rows in the blink of an eye. No need to upload your sensitive data to a third party server. [b]Supported Operation Systems[/b] macOS 10.10 or later [b]HomePage:[/b] [code] https://www.easydatatransform.com [/code] -:[color=#000000][u][b]DOWNLOAD FROM[/b][/u][/color][color=#FF0000] [u][b]LINKS[/b][/u][/color]:- [color=#ff6600][b]RapidGator[/b][/color] [code] https://rapidgator.net/file/c3c34db2d7f29750e9b522dd01d06746/EDT1.32.0.m.rar [/code] [color=#1261d0][b]NitroFlare[/b][/color] [code] https://nitroflare.com/view/B3AE12012563B65/EDT1.32.0.m.rar [/code]
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  19. Published 07/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 29 lectures (2h 5m) | Size: 681.1 MB Learn how to become a Data Wizard with SQL What you'll learn Use SQL to query data in databases Perform data analysis and extract useful insights Install and use PostgresSQL Create database objects - databases, schemas and tables Load datasets from external CSV files Query data with various types of filtering conditions Explore and count distinct values across the dataset Aggregate rows into groups Requirements Nothing specific is needed to start the training program Just bring a nice coffee (or tea), and a smile for a great starting vibe ;-) Description Data is Everywhere It is not a secret that data is everywhere; data is collected, processed, and accumulated in massive databases across all industry domains. As the technologies for handling data are evolving rapidly, the industry challenge is more focused on data utilization than data collection and storage. As a result, many organizations are looking for the right mix of people, tools, and products to help them pick up those piles of data, extract valuable insights and constantly gain market advantage. Becoming an SQL Wizard SQL is the most popular language to extract, load, and query data from databases. If you master SQL, you gain the amazing and useful flexibility to explore, filter and aggregate almost any raw data in multiple dimensions. SQL Wizards are needed everywhere. Level 1 - We are starting from scratch! The complete training program is divided into multiple sequential levels to let you grow your knowledge and understanding of SQL and data analysis. This level, level one is designed to kick off your knowledge about SQL and learn to perform various data analysis tasks Understand the industry terminology of SQL and databases Learn and practice the SQL syntax in step by step Create and load data into databases, schemas, and tables Analyze data using various filtering conditions and search patterns Explore and count distinct values across the dataset attributes Group rows and perform a calculation using aggregation functions Use alias for columns and tables And more We will use quizzes and exercises to practice and sharpen your understanding of the learning objectives. In any case, I am here for any questions. I wish you AWESOME learning and hope to see you inside! Who this course is for Anyone interested in learning about databases, SQL, data analysis and data analytics Homepage https://www.udemy.com/course/the-complete-sql-bootcamp-for-data-analysis-level-1/ Download ( Rapidgator ) https://rapidgator.net/file/29419d6b59d05d530a7d94105bffd8b7/mhiww.The.Complete.SQL.Bootcamp.for.Data.Analysis..Level.1.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/9414f5bcb3293d5F/mhiww.The.Complete.SQL.Bootcamp.for.Data.Analysis..Level.1.rar Download ( NitroFlare ) https://nitroflare.com/view/E214F71267C4BD1/mhiww.The.Complete.SQL.Bootcamp.for.Data.Analysis..Level.1.rar Links are Interchangeable - No Password - Single Extraction
  20. Last updated 6/2021 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 473.99 MB | Duration: 3h 9m Learn how to design and write simple SQL queries for data reporting and analysis What you'll learn Setup a Database Environment Understand Database Concepts Write SQL Syntax Understand SQL Data Types Retrieve Data using SELECT Filter Data search with SQL WHERE clause Sort SQL qiery result seach with ORDER BY Transform SQL Search results with string functions Use Alias to change query results headings Use various functions for data reporting and analysis Requirements Download and install Database test environment. We'll cover this in section 2 Description There is a demand for people who can use data to perform reporting and analysis thus helping businesses and organizations make important and critical decisions.SQL stands for Structure Query Language. It is an internationally standard language used to communicate with various databases for data manipulation. SQL is vital for data analysis and reporting.Have you wondered how you the data you need? Do you wish you could retrieve it yourself? This course teaches you how to get the data you want by writing a bit of SQL code. You won't just be able to pull data out of the database; you'll be able to manipulate it: merging it, multiplying it, grouping it, and relabeling it to get just the report you want.You will learn how to design and write simple SQL queries for data reporting and analysis. Also you will learn how to filter, group, and sort data, using built-in SQL functions to format or calculate results. Discover how to perform more complex queries, such as joining data together from different database tables. Topic you will learn include:Setup a Database EnvironmentUnderstand Database ConceptsWrite SQL SyntaxUnderstand SQL Data TypesRetrieve Data using SELECTFilter Data search with SQL WHERE clauseSort SQL query result search with ORDER BY Transform SQL Search results with string functionsUse Alias to change query results headingsUse various functions for data reporting and analysisSQL can be used to help solve business problems like :Who are the top ten sales-reps in each region?How many employees in an organizationHow many employees earn less than 45K in an organizationHow many new employees joined the company in the past 18 monthsWhat goods are flying off the supermarket shelves and so on.. Overview Section 1: Introduction and Database Concepts Lecture 1 Introduction Lecture 2 What is SQL Lecture 3 Database Concepts Part 1 Lecture 4 Database Concepts Part 2 Lecture 5 Basic SQL Syntax Lecture 6 SQL Data Types Section 2: Database Setup and Connectivity Lecture 7 Oracle database 11g express download Lecture 8 Oracle database 11g express installation Lecture 9 Unlocking and using sample database schema Lecture 10 Toad for oracle download Lecture 11 Toad for oracle installation Lecture 12 Connecting to the database with TOAD Section 3: SQL and Data Reporting Lecture 13 Filtering Data search with SQL WHERE clause Lecture 14 Sorting SQL query result serach with ORDER BY Lecture 15 Use Alias to change query results headings Lecture 16 Using Date functions Lecture 17 Using Dual Table and Views Section 4: Grouping Query Results Using SQL Lecture 18 Aggregating SQL results with GROUP BY Lecture 19 Filtering Grouped results using HAVING clause Lecture 20 Avoiding duplicates in reporting with SQL DISTINCT Section 5: Merging Data From Multiple Tables Lecture 21 Inner Join Lecture 22 Outer Join Lecture 23 Equi Join Lecture 24 Non-Equijoin Lecture 25 Cartesian Join Section 6: Group Multiple Query Results into One Result using -SET operators Lecture 26 Introduction to SET Operators Lecture 27 UNION Lecture 28 INTERSECT Lecture 29 MINUS Section 7: Using Functions For Data Analysis Lecture 30 Single Row Lecture 31 Conversion Lecture 32 Numeric Lecture 33 Character Lecture 34 Thank You This Course is meant for newbies who are not familiar with using SQL for Data Analysis and Reporting. Homepage https://www.udemy.com/course/introduction-to-data-analysis-and-reporting-with-sql/ Download ( Rapidgator ) https://rapidgator.net/file/ad61de0a0d2c20a9ffd1fd9fafdaf0ac/ekzng.Introduction.To.Data.Analysis.And.Reporting.With.Sql.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/aCd6788e237A943d/ekzng.Introduction.To.Data.Analysis.And.Reporting.With.Sql.rar Download ( NitroFlare ) https://nitroflare.com/view/9FDBCC07C748419/ekzng.Introduction.To.Data.Analysis.And.Reporting.With.Sql.rar Links are Interchangeable - No Password - Single Extraction
  21. Instructors: Dr. Gleb Tsipursky, PhD | 10 sections • 11 lectures • 1h 52m Video: MP4 1280x720 44 KHz | English + Sub | Updated 7/2022 | Size: 2.3 GB Master data analysis best practices of Fortune 500 firm leaders taught by a world-renowned future of work expert What you'll learn Master data analysis best practices used by Fortune 500 leaders to seize competitive advantage for their bottom lines and careers in the future of work Maximize productivity, engagement, retention, and morale in the hybrid and remote future of work through data analysis best practices Develop a plan with specific next steps to adapt for yourself the best practices used by Fortune 500 leaders for data analysis skills Discover how to lead collaboration and innovation most effectively through data analysis best practices in the hybrid and remote future of work Learn the dangerous judgment errors called cognitive biases that undermine successful leadership in the future of work and how Fortune 500 leaders defeat them Feel truly confident about whether you mastered the best data analysis best practices to make the right calls in the hybrid and remote future of work Requirements You need to trust data analysis best practices from Fortune 500 leaders and behavioral science-based findings over going with outdated advice stemming from pre-pandemic work arrangements to seize a competitive advantage in the hybrid and remote future of work Description Your ability to master data analysis best practices will determine whether you reach your business and career goals in the hybrid and remote future of work of our increasingly-disrupted post-COVID world. Unfortunately, our intuitive leadership style is adapted to pre-pandemic work arrangements in the office, and is poorly suited to the hybrid and remote future of work. Our gut reactions on data analysis best practices in the future of work can't be trusted, as revealed by research in behavioral economics, psychology, and cognitive neuroscience. So how do the leaders of Fortune 500 companies make the right calls on data analysis best practices in the hybrid and remote future of work? They follow evidence-based data analysis best practices as revealed by such research. In this course, you will master techniques for gaining data analysis skills by drawing on cutting-edge behavioral science and real-world best practices from Fortune 500 leaders. After taking this course, you will Master data analysis best practices used by Fortune 500 leaders to seize competitive advantage for their bottom lines and careers in the future of work Maximize productivity, engagement, retention, and morale in the hybrid and remote future of work through data analysis best practices Develop a plan with specific next steps to adapt for yourself the best practices used by Fortune 500 leaders for data analysis skills Discover how to lead collaboration and innovation most effectively through data analysis best practices in the hybrid and remote future of work Learn the dangerous judgment errors called cognitive biases that undermine successful leadership in the future of work and how Fortune 500 leaders defeat them Feel truly confident about whether you mastered the best data analysis best practices to make the right calls in the hybrid and remote future of work Homepage https://www.udemy.com/course/data-analysis-and-future-of-work-fortune-500-leaders/ Download ( Rapidgator ) https://rapidgator.net/file/43d45a5c4a036cf8bc2c966b9cd5be45/lkwhi.Data.Analysis.and.Future.of.Work.Fortune.500.Leaders.part2.rar.html https://rapidgator.net/file/ac47bfdff97d5f39cecbb9455afe72e5/lkwhi.Data.Analysis.and.Future.of.Work.Fortune.500.Leaders.part1.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/8E1d7e9707f330Cb/lkwhi.Data.Analysis.and.Future.of.Work.Fortune.500.Leaders.part1.rar https://uploadgig.com/file/download/a9b2E7a4a74e183C/lkwhi.Data.Analysis.and.Future.of.Work.Fortune.500.Leaders.part2.rar Download ( NitroFlare ) https://nitroflare.com/view/8C9854D08E19EE6/lkwhi.Data.Analysis.and.Future.of.Work.Fortune.500.Leaders.part1.rar https://nitroflare.com/view/B91F9D1CF7CDA45/lkwhi.Data.Analysis.and.Future.of.Work.Fortune.500.Leaders.part2.rar Links are Interchangeable - No Password - Single Extraction
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Published 07/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 87 lectures (5h 40m) | Size: 2.5 GB Using MySQL Server RDBMS with Workbench to Become a SQL Expert on Queries for your Business Logic on real world problems What you'll learn What you'll learn Use SQL to query a data for reports Get a job as a junior Data Analytics developer Advanced SQL statements Use Workbench to prepare Database schema structure Be comfortable putting SQL and MySQL on their resume Learn to perform GROUP BY statements for Business Intelligence reports Replicate real-world situations and query reports Complete basic SELECT statements querying against a single table Filter data using the WHERE clause to identify required data Apply SQL for Data Science Using JOINS, return data from multiple tables in the same query Complete Analysis statements that use aggregate functions Import and Export .CSV, Excel to SQL Database Performing Secure Backup and Restore Full SQL Database Requirements No prior technical experience is required! All you need a computer! No SQL experience needed. You will learn everything you need to know No software is required in advance of the course (all software used in the course is free) Description Learn how to use MySQL for Data Science quickly and effectively with this course! At this Masterclass on SQL course is without a doubt the most comprehensive SQL database course available online. Even if you have zero SQL experience, this course will take you from beginner to mastery. Here's why You'll learn how to read and write complex queries to a database using one of the most in demand skills - MySQL Server. These skills are also applicable to any other major RDBMS database, such as MySQL, PostgreSQL, Amazon Redshift, Oracle, and much more. Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems. Whether you have successfully completed the other courses in the Learn SQL for Data Science and Data Analytics or are taking just this course, this roadmap is your chance to apply the knowledge and skills you have acquired to practice important SQL querying and solve problems with data. You will participate in your own personal or professional journey to create a portfolio-worthy piece from start to finish. You will choose a own dataset and develop a project proposal. You will explore your data and perform some initial statistics you have learned through this course. You will uncover analytics for qualitative data and consider new metrics that make sense from the patterns that surface in your analysis. You will put all of your work together in the form of a presentation where you will tell the story of your findings. Learning SQL for Data Science is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! In this course you'll learn quickly and receive challenges and tests along the way to improve your understanding! The course is taught by the lead instructor having 20+ years of professional experience. We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a SQL Data Science developer. Database Administrator ☞ DBAs must possess in-depth SQL knowledge so they can understand and review SQL and host language programs in order to recommend changes for optimization. Also to do performance management & tuning. Data Science Aspirants ☞ Learn to handle large volumes of numerical data, bring coherence to the data and make it useful for senior management in their decision making process. Aspiring Analysts ☞ Candidates will learn to create efficient, robust and flexible Database to report and analyze historical data. Developers ☞ SQL developers must have in-depth knowledge to query, define, manipulate, control and analyze the data in database. University Students ☞ MySQL is one of the most in demand skill in any data related job that all recruiters specifically look for, boosting your job prospects by over 40%. Job Seekers ☞ Build an impressive resume with practical work & projects to back your Database Management Skills & get certified by a SQL Expert. In this course you will be learn everything you need to become a SQL Data Science Pro! Including Get started with MySQL Server, MySQL Workbench these are the world's most popular Open-source SQL tools Learn the basics of SQL syntax Analyzing data using aggregate functions with GROUP BY commands Running advanced queries with string operations and comparison operations Learn to use logical operators to add logic flow to your SQL queries MySQL Workbench to Connect MySQL Server Instance Learn common SQL JOIN statements Learn to create tables and databases with constraints on data entries Learn to use Python to further advanced your SQL Data Science skills Import and Export .CSV or Excel files in to SQL Database Learn How to take Secure backup & restore database. Learn to write SELECT statements Learn to Create SQL scripts applying WHERE clause Applying Primary and Foreign Keys Creating Views and Accessing View Data Writing Stored Procedures for re-use SQL scripts Dynamic SQL queries and Aggregate Functions Subqueries to make complex queries EER Diagram to prepare and view the Schema Design Creating Different on required Business reports Learn to Write Statements for Decision Making Queries Apply Real world Data queries for Data Analytics and Data type SELECT on Query Calculations for Orders price on SALEs and much more! This is course that put's you in control, having you create and restore databases, instead of watching someone else code steps. Every section comes with fresh challenge tasks, modeled after real world tasks and situations. I've spent years as an instructor both online and in-person at Fortune 500 companies, and this course is built to combine the best of both worlds, allowing you to learn at your own pace through an interactive environment. You will start with the basics and soon find yourself working with advanced commands, dealing with timestamp data and variable character information like a seasoned professional. SQL is one of the most in demand skills for business analysts, data scientists, and anyone who finds themselves working with data! Upgrade your skill set quickly and add SQL to your resume by joining today! Check out the free preview videos for more information! By the end of this course, you will be fluently programming and be ready to make any application you can dream of. Sign up today, and look forward to HD Video Lectures SQL Query Challenges and SQL Query Exercises Beautiful Real-World dynamic Projects ABOUT YOUR INSTRUCTOR Sekhar Metla is a software engineer with 20 years of professional experience. He is the author of several online-selling courses with more than 30,000+ students in many countries. He has a Master of Science in Computer Applications as Software Engineering. His students describe him as passionate, pragmatic, and motivational in his teaching. What are you waiting join now to start learning how to make your own SQL Basic Data Science Career TODAY :) Who this course is for Who this course is for Beginner SQL, Data Science and Analytics - developers curious about SQL Career Anyone who wants to generate new income streams Anyone who works with data analytics, or databases! Anyone who wants to become Business intelligence developer Anyone who wants to start their own business or become freelance Anyone who wants to become a Data Science developer If you work in: marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or any other industry/function that collects information Someone who wants to learn skills that give them the potential to earn near SIX figures! 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  25. Last Updated 05/2020 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 17 lectures (3h 33m) | Size: 1.74 GB For Grade 8+ or Adults! What you'll learn Understand the role and fundamentals of data and data science and gain experience in all stages involved in data science Rack up your technology skills when it comes to working with data and spreadsheets such as Google Sheets and Excel Learn how to utilize data formulas and charts inside a spreadsheet table Complete a hands-on, personalized, and real-world data science project that involves all stages of data science Practice designing your own data science project and creating online surveys to collect your data Practice working with data like a professional data scientist, from collecting raw data to analyzing it and delivering results Requirements Basic computer and internet browser usage skills Computer connected to the Internet Google account to use Google Sheets, or Excel or similar spreadsheet application Social media account (Facebook, Twitter, or similar) to share invites to participate in online survey (Optional) Description Overview In this all hands-on project course, students get their first real experience of data science by playing the role of a professional data scientist. The course starts off with a couple of hands-on spreadsheet table assignments to get students equipped with basic skills on working with data, using Google Sheets (or Excel). We then jump right into the independent data science student project--Data Science Project: Understanding My Community Better--in which the students aim to study how their chosen local community compares to everyone else, with respect to a chosen topic. They will do the work involved in every stage of data science: problem statement and research, setting up online surveys, raw data collection, data organization and cleaning, data analysis using formulas and charts, and finally identifying and presenting results. Highlights School computer curriculum ready - Suitable for a 20-week middle or high school term For teacher curriculum bundle see Termeric Education website. Classroom-tested - This course was taught in a 20-week semester for 9th graders in a real school. The content level and volume is appropriate and suitable for a typical 20-week school semester, for all junior or high school grades. Each unit below could span 1-2 weeks in a real classroom setting. Practice working with data in Google Sheet or Excel spreadsheets For Grade 8+ or Adults! 11 units (~20 Weeks) 2 assignments 1 independent student data science project Lecture slides and other resources Sections Section 1: Lectures Unit 1 Role of Data in Digital World Use Cases of Data Science Stages of Data Science Unit 2 Spreadsheet Table Basics Types of Data Homework 1: Create Excel Table: Nutrition Data of Your 5 Favorite Fruit Picks Unit 3 Spreadsheet Formulas Spreadsheet Charts Homework 2: Analyze Your 5 Favorite Fruits Data Section 2: Data Science Student Project Unit 4 Data Science Project Overview Research Area Selection Research Topic Selection Problem Statement Selection Unit 5 Select 2 Questions for Online Polls Unit 6 Set Up Online Polls Unit 7 Collect Raw Data Organize Data in a Table Unit 8 Clean Data Sort Data Unit 9 Analyze Data Use Formulas and Charts Unit 10 Identify Results Unit 11 Present Results Who this course is for Grade 7 or higher students, as well as any adults, who want to learn about data, data science, and working with spreadsheets Students who want a hands-on course on data, and to gain experience with a real-world data science project Educators who are interested in teaching a classroom-tested course on data and data science Homepage https://www.udemy.com/course/introductory-data-science-workshop/ Download ( Rapidgator ) https://rapidgator.net/file/5da68547518d4e00c444d5231b12b670/ufqcc.Intro.Data.Science.Workshop..School.Computer.Curriculum.part2.rar.html https://rapidgator.net/file/c4a52f3c165fe3662f9df0f685d58c0f/ufqcc.Intro.Data.Science.Workshop..School.Computer.Curriculum.part1.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/0fb0536703d037E5/ufqcc.Intro.Data.Science.Workshop..School.Computer.Curriculum.part1.rar https://uploadgig.com/file/download/b23a6d0E51377ac8/ufqcc.Intro.Data.Science.Workshop..School.Computer.Curriculum.part2.rar Download ( NitroFlare ) https://nitroflare.com/view/6C25C72F58692A7/ufqcc.Intro.Data.Science.Workshop..School.Computer.Curriculum.part1.rar https://nitroflare.com/view/E15BD7F8D22BEC2/ufqcc.Intro.Data.Science.Workshop..School.Computer.Curriculum.part2.rar Links are Interchangeable - No Password - Single Extraction
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