Bo0mB0oma Posted March 23, 2019 Report Share Posted March 23, 2019 Python Data Analytics: With Pandas and NumPy .MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 44100 Hz, 2ch | 932 MB Duration: 2 hours | Genre: eLearning Video | Language: English Learn Get complete to handle complex data-sets and analyze your data in a principled way with Pandas, Python and NumPy. What you'll learn Learn to work with pandas to analyze data. Learn to use NumPy to work with arrays and matrices of numbers. Learn to work with Jupyter Notebook. Learn to work with matDescriptionlib from within pandas. Requirements Basic Python programming experience Description Welcome to " Python Data Analytics: With Pandas and NumPy " Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more! You will learn how to: Import data sets Clean and prepare data for analysis Manipulate pandas DataFrame Summarize data Build machine learning models using scikit-learn Build data pipelines Posing a question Wrangling your data into a format you can use and fixing any problems with it Exploring the data, finding patterns in it, and building your intuition about it Drawing conclusions and/or making predictions Communicating your findings Data Analysis with Python is delivered through lecture, hands-on labs, and assignments. It includes following parts: Data Analysis libraries: will learn to use Pandas DataFrames, Numpy multi-dimentional arrays, and SciPy libraries to work with a various datasets. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions COURSE SYLLABUS Module 1 - Installation Lecture 1: Installing the Anaconda Python distribution Lecture 2:Writing and running Python in the iPython notebook Module 2 - Refresher Data Containers in Python Lecture 3:Python containers overview Lecture 4:Using Python lists and the slicing syntax Lecture 5:Using Python dictionaries Lecture 6:Comprehensive Module - 3 Word Anagrams in Python Lecture 7:Word anagram overview Lecture 8:Loading the dictionary Lecture 9:Finding anagrams Lecture 10:Challenge Lecture 11:Solution Module - 4 Introduction to NumPy Lecture 12:NumPy overview Lecture 13:Creating Numpy Arrays Lecture 14:Doing math with arrays Lecture 15:Indexing and slicing Lecture 16:Records and dates Module - 5 Weather Data with NumPy Lecture 17:Weather data overview Lecture 18:Downloading and parsing data files Lecture 19:Temperature analysis Lecture 20:Integrating missing data Lecture 21:Smoothing data Lecture 22:Computing daily records Lecture 23:Challenge Lecture 24:weather data Solution Module - 6 Introduction to Pandas Lecture 25:Pandas overview Lecture 26:Series in Pandas Lecture 27:DataFrames in Pandas Lecture 28:Using multilevel indices Lecture 29:Aggregation You'll also learn how to use the Python libraries NumPy, Pandas, and MatDescriptionlib to write code that's cleaner, more concise, and runs faster. Take this course today and start your journey now! Regards, EliteHakcer Team Who this course is for: You should be familiar with if statements, loops, functions, lists, sets, and dictionaries. To learn about any of these topics, take the course Intro to Computer Science. You should also be familiar with classes, objects, and modules. To learn about these topics, take the course Programming Foundations with Python. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/0741A9E80F273AE/280rs.Python.Data.Analytics.With.Pandas.and.NumPy.part1.rar http://nitroflare.com/view/1E686846AF2C0CD/280rs.Python.Data.Analytics.With.Pandas.and.NumPy.part2.rar http://nitroflare.com/view/2BAAA05FB66D7B0/280rs.Python.Data.Analytics.With.Pandas.and.NumPy.part3.rar https://rapidgator.net/file/0fd7ff2277b040ffe2e3cb9955306d90/280rs.Python.Data.Analytics.With.Pandas.and.NumPy.part1.rar https://rapidgator.net/file/68bcf499a6e4fee6141e2d5b9ad02462/280rs.Python.Data.Analytics.With.Pandas.and.NumPy.part2.rar https://rapidgator.net/file/cf007501ce2201520c0b53bb16b9351f/280rs.Python.Data.Analytics.With.Pandas.and.NumPy.part3.rar http://turbobit.net/ax725o0a8rwv/280rs.Python.Data.Analytics.With.Pandas.and.NumPy.part1.rar.html http://turbobit.net/tvetarpavfkk/280rs.Python.Data.Analytics.With.Pandas.and.NumPy.part2.rar.html http://turbobit.net/m32p0m4e1qja/280rs.Python.Data.Analytics.With.Pandas.and.NumPy.part3.rar.html Link to comment Share on other sites More sharing options...
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