Python for Data Science Complete Video Course Video Training

Bo0mB0oma · April 28, 2019

MP4 | Video: AVC 1280 x 720 | Audio: AAC 48KHz 2ch | Duration: 6H 38M | 13.68 GB

Genre: eLearning | Language: English

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9+ Hours of Video Instruction

While there are resources for Data Science and resources for Machine Learning, there's a distinct gap in resources for the precursor course to Data Science and Machine Learning. This complete video course fills that gapit is specifically designed to prepare students to learn how to program for Data Science and Machine Learning with Python. This is the antidote to the over-complicated universe of these hot new, growing technologies. With this course, students will learn the fundamentals of Python and get prepared specifically for Data Science.

Noah Gift and Kennedy Behrman take students with zero programming background through enough Python to prepare them for their Data Science curriculum. Companies are looking for developers who can create insight-driven systems, as they are now becoming critical to business success. Very few professionals are adequately trained to handle both large-scale software engineering and Machine Learning/AI. This is an emerging field, and we are developing the training to meet this need in the marketplace.

Description

Notebook-based Data Science programming in Python is the emerging standard but there is a dearth of quality training material available for beginners. This 9-hour video, complete with interactive quizzes, provides foundational training on the Python language for the novice or beginner programmer looking to start in the Data Science field. The video serves as the 100-level course for a Data Science undergraduate or graduate program.

The course has been designed around Colab notebook-based learning. Students would be able to run every exercise shown in the videos. The material focuses on a smaller, easier subset of Python that is needed just for Data Science coding.

Skill Level

Beginner

What You Will Learn

Learn Google Colab notebook Data Science programming

Learn the essential subset of Python used in Data Science

Learn to manipulate data using popular Python libraries such as pandas and numpy

Learn to apply Python Data Science recipes to real-world projects

Learn functional programming fundamentals unique to Data Science

Who Should Take This Course

Complete beginners to programming

Statisticians and Analysts in the data industry looking to use Python for Data Science

Sales, Product Managers, Data Analysts, Marketing who want to perform Data Science

Software Engineers looking to level up into Data Science and Machine Learning tracks

Students enrolled in a Data Science program

Course Requirements

General computer skills are an asset, such as moving, copying, renaming, and deleting files on the computer they will be using

Experience using text editors and/or spreadsheet applications

Comfort using web browsers and search engines

Lessons

Introduction

Lesson 1: Python Past and Future

Lesson 2: Introduction to Colab

Lesson 3: Fundamentals of Python

Lesson 4: Strings in Python

Lesson 5: Python Data Structures

Lesson 6: Data Conversion Recipes

Lesson 7: Execution Control

Lesson 8: Functions in Python

Lesson 9: Data Science Libraries

Lesson 10: Functional Programming

Lesson 11: Lazy Evaluation

Lesson 12: Pattern Matching

Lesson 13: Sorting in Python

Lesson 14: I/O in Python

Lesson 15: Sharing Your Work

Lesson 16: Case Studies

Summary

About Pearson Video Training

Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que Topics include: IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more.

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