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Free Course Download100% Free Direct MP4 LinksAI, Machine Learning & Data Science2023-4 Edition

Download CBTNuggets – Programming for Data Science Online Training Course for Free

Download the complete CBTNuggets – Programming for Data Science Online Training video course for free with high-definition MP4 video lectures, project exercise archives, and step-by-step masterclasses. Learn offline at your own pace with zero paywalls or recurring subscriptions.

136Lectures
83.7Total Hours
11056.2MB Total Size
MP4 / 1080p HD
Instructor: Senior Industry Specialist
English
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CBTNuggets – Programming for Data Science Online Training 2023-4_Materials.zip

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All Video Lectures Available to Download136 Videos

Direct high-speed MP4 downloads for every chapter.

Explore Data Science Domains and Roles

MP4 HD11m24.12 MB
Stream

Data Science Tools

MP4 HD47m102.34 MB
Stream

What is Data Science

MP4 HD43m95.39 MB
Stream

Data Science Development Environments

MP4 HD38m83.58 MB
Stream

What is Anaconda

MP4 HD22m48.42 MB
Stream

Data Science Roles

MP4 HD20m43.44 MB
Stream

The Data Science Roadmap

MP4 HD28m61.05 MB
Stream

macOS Terminal, Git for Windows, and Linux Emulators

MP4 HD37m80.92 MB
Stream

Introduction

MP4 HD1h 18m170.83 MB
Stream

Basic Linux Commands

MP4 HD48m105.55 MB
Stream

What is a command-line, terminal, and Shell

MP4 HD1h 2m137.41 MB
Stream

Create Projects and Workflows

MP4 HD38m82.95 MB
Stream

Install Anaconda macOS

MP4 HD29m64.05 MB
Stream

Install Anaconda Windows

MP4 HD13m29.03 MB
Stream

Closing a Jupyter Notebook Session

MP4 HD6m13.58 MB
Stream

Virtual Environments with Conda

MP4 HD23m50.55 MB
Stream

Install Jupyter Notebook

MP4 HD29m64.27 MB
Stream

Starting a Jupyter Notebook and Session

MP4 HD30m66.41 MB
Stream

Explore Visual Code for Data Science

MP4 HD21m45.88 MB
Stream

Introduction -3

MP4 HD11m24.85 MB
Stream

Primitive & Non-Primitive Data Types, Part 2 Data Types in Jupyter Notebook

MP4 HD28m60.92 MB
Stream

Primitive & Non-Primitive Data Types, Part 1 Conda Environment and GitHub

MP4 HD16m34.96 MB
Stream

Numbers Integers and Floats

MP4 HD20m43.71 MB
Stream

Text Strings and Bools

MP4 HD17m36.70 MB
Stream

Collections Lists

MP4 HD20m43.31 MB
Stream

Collections Tuples, and Sets

MP4 HD28m61.57 MB
Stream

Collections Dictionaries

MP4 HD1h132.09 MB
Stream

Working with Variables

MP4 HD19m42.73 MB
Stream

Leaving Comments

MP4 HD14m31.62 MB
Stream

String Formatting

MP4 HD15m33.67 MB
Stream

Working with Strings

MP4 HD44m96.02 MB
Stream

Indexing

MP4 HD24m52.69 MB
Stream

Slicing

MP4 HD27m58.96 MB
Stream
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What You'll Master in this Free Download Course

Data science development environments
macOS terminal, Git for Windows and Linux emulator
Writing Python code using Object Oriented Programming (OOP)
Data visualization with Matplotlib and Seaborn
And …

About this Free Download Course

Programming for Data Science Online Training is a programming training course for data science published by Udemy Online Academy. Programming for data science involves using programming skills to collect, process, analyze, and visualize data to extract meaningful insights and inform decision making. It is a multidisciplinary field that combines elements of computer science, statistics, and domain knowledge to solve complex problems using data. Programming for data science is a powerful skill set that enables professionals to harness the potential of data. By combining programming skills with statistical knowledge, data scientists can discover patterns, build predictive models, and communicate insights effectively.Mastery of the programming languages, tools, and techniques in data science is essential for anyone seeking to excel in this rapidly evolving field. This intermediate programming course for data science prepares you to write code that makes sense of unstructured collections from multiple channels and sources and processes the information you need. After completing this training course, you will be able to do coding and programming for data science on your own and you will no longer need other people’s codes. In this course, you will learn about topics such as writing reusable Python functions for data science, writing Python code using object-oriented programming (OOP), data visualization with Matplotlib and Seaborn, and working with Numpy and Pandas. .

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Free Download Summary

Price:100% Free
Total Lectures:136 videos
Total Duration:83.7 hours
Video Format:MP4 (1080p HD)
Exercise Archives:1 ZIP files
Registration:None (Instant Access)
Offline Playback:Supported
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Instructor

S

Senior Industry Specialist

Specialist in AI, Machine Learning & Data Science. Real-world engineering curriculum and hands-on masterclasses.

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