Beginner
Certificate included
English
Python for Data Science and Analytics
Analyze real datasets with Python, Pandas, and NumPy
by Michael Torres
About this course
This course teaches data analysis with Python using real, messy datasets rather than toy examples. You will learn Pandas, NumPy, and how to communicate findings clearly with visualizations.
What you'll learn
- Clean and transform data with Pandas
- Perform exploratory data analysis
- Create visualizations with Matplotlib and Seaborn
- Apply basic statistical analysis to real datasets
- Build a complete data analysis project end to end
Requirements
- Basic Python knowledge
Curriculum
4 sections • 12 lessonsA quick orientation before diving into Python for Data Science and Analytics.
Course Introduction and Roadmap
Preview
7:00
Setting Up Your Environment
Preview
9:00
How This Course Works
The main skills you will build in this course.
Clean and transform data with Pandas
10:00
Perform exploratory data analysis
11:00
Create visualizations with Matplotlib and Seaborn
12:00
Apply basic statistical analysis to real datasets
13:00
Build a complete data analysis project end to end
14:00
Apply what you learned to realistic exercises.
Guided Project: Python for Data Science and Analytics
15:00
Independent Challenge Exercise
Course Recap and Next Steps
6:00
Final Assessment and Certificate
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ETB 44.99 ETB 69.99
Sign Up to Enroll - Beginner level
- 25h total
- Certificate of completion
- Full lifetime access