Chevron Left
Back to Python for Data Analytics

Learner Reviews & Feedback for Python for Data Analytics by DeepLearning.AI

4.3
stars
10 ratings

About the Course

This comprehensive course guides students through the complete data analytics workflow using Python, combining programming fundamentals with advanced statistical analysis. The curriculum is structured across five interconnected modules that build upon each other, using real-world datasets to provide practical, hands-on experience. Starting with programming fundamentals, you'll learn essential Python concepts while working with real datasets like public library revenue and restaurant safety inspections. The course introduces the Jupyter Notebook environment and transitions students from spreadsheet-based analysis to powerful programmatic approaches. Students master core programming concepts including variables, functions, and control flow structures. This course helps you bridge the gap between theoretical knowledge and practical application, enabling you to become proficient in using Python for comprehensive data analysis, from basic data manipulation to advanced statistical modeling and forecasting....

Top reviews

LA

Jun 16, 2025

I love the way the course is structured and how Python is introduced using real-world use-cases.

HL

Jun 22, 2025

Provides clear instructions, easy-to-follow tutorials, and lots of resources.

Filter by:

1 - 5 of 5 Reviews for Python for Data Analytics

By Terrill K

•

May 29, 2025

The concepts covered in this course were immediately useful and became a lot more familiar when following along with the lessons and in the labs. Sean sometimes goes a little quickly in the demos, but rewinding is good reinforcement of the concepts.

By Todd L

•

Apr 19, 2025

Really well-structured course with good examples and realistic problems. I thought the capstone was pretty fun and interesting challenge. The data visualizations modules are really useful. Learned so much cool stuff!

By Lukman A

•

Jun 17, 2025

I love the way the course is structured and how Python is introduced using real-world use-cases.

By Hannah L

•

Jun 23, 2025

Provides clear instructions, easy-to-follow tutorials, and lots of resources.

By Timothy Y

•

Jul 8, 2025

Extremely hard.