Pandas for Data Analysis
Wrangle and analyze real data in Python with pandas.
4h 32m
On-demand video
22
Lessons
Included
Certificate
Mobile & TV
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This course includes:
- 4h 32m on-demand video (free)
- 22 lessons
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
What you'll learn
- Load, clean, and reshape datasets
- Filter, group, and aggregate with pandas
- Handle missing data the right way
- Produce analysis-ready data
Official study guide
The complete 40-page companion book for Pandas for Data Analysis, covering every module with worked examples, key terms, self-check questions, and a full glossary. Print it or read it offline.
Tools & technologies
Industry-standard tools you'll work with in this course.
PythonCourse content
3 sections · 22 lessons · 4h 32m- Python Pandas Tutorial 1. What is Pandas python? Introduction and InstallationPreview9m
- Python Pandas Tutorial 2: Dataframe Basics20m
- Python Pandas Tutorial 3: Different Ways Of Creating DataFrame7m
- Python Pandas Tutorial 4: Read Write Excel CSV File27m
- Python Pandas Tutorial 5: Handle Missing Data: fillna, dropna, interpolate22m
- Python Pandas Tutorial 6. Handle Missing Data: replace function13m
- Python Pandas Tutorial 7. Group By (Split Apply Combine)10m
- Python Pandas Tutorial 8. Concat Dataframes15m
Requirements
- •Basic Python
About this course
Wrangle and analyze real data in Python with pandas. This curated learning path is organized into 3 modules and 22 lessons, taught by codebasics. MegaCourse adds structure, learning outcomes, progress tracking, and a shareable certificate of completion.
Who this course is for
- Analysts
- Data science beginners
Instructor
Trusted creator on MegaCourse
Licensing & attribution
License: YouTube Standard License
Videos are embedded from their original creators and remain free to watch. MegaCourse's paid layer covers our own study guides, graded exams, certificates, and curation.
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