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AI, Machine Learning & Data Science2023-4 Edition100% Free Video Course

CBTNuggets – Programming for Data Science Online Training

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. .

136 Video Lessons
83.7 Hours On-Demand
Created by Senior Industry Specialist
Uploaded Sep 2026
English
CBTNuggets – Programming for Data Science Online Training
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Course Features:
83.7 hours on-demand video
136 complete lectures
1 downloadable project zip file(s)
Streamable on mobile, tablet & desktop
Self-paced curriculum with progress tracking
Direct MP4 downloads & offline video access
Verified course archives hosted on cloud infrastructure.

What You'll Master in this 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 …

Course Curriculum136 Lectures

26 sections • 83.7 hours total length

Prefer offline learning? Download all 136 video lectures and project files for free.
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Requirements

  • Basic enthusiasm to learn and follow along with lessons
  • A computer or mobile device with a modern internet connection

Description

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. .

Instructor

S

Senior Industry Specialist

Specialist in AI, Machine Learning & Data Science

Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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