- Introduction to Jupyter Notebook
- Basic Python programming concepts
- Installing NumPy & Pandas
- Creating NumPy arrays from Python lists
- Mathematical functions in NumPy
- Reading and writing files with NumPy
- Creating and understanding DataFrames
- DataFrame indexing and selection
- Adding, removing, and updating data
- Data filtering, sorting, and grouping
- Time series analysis and manipulation
- Identifying and handling missing data
- Merging, joining, and concatenating DataFrames
- Applying functions t
Unlock the full potential of data analysis with NumPy, Pandas, and Python in this comprehensive, hands-on course! Whether you’re a beginner or looking to sharpen your skills, this course will guide you through everything you need to master data analysis using Python’s most powerful libraries.