Python for Data Analysis — Data Science Roadmap
The core libraries for wrangling data once it's out of the database
Steps in Python for Data Analysis
- NumPy Fundamentals — beginner · Arrays and vectorized numerical operations
- Pandas for Data Wrangling — beginner · DataFrames, filtering, sorting and transforming tabular data
- Merging, Joining & Reshaping Data — beginner · Combining multiple DataFrames and pivoting between long and wide formats
- Working with Dates & Times — beginner · Parsing, resampling and extracting features from datetime data
- Working with Text Data in Pandas — beginner · String methods and basic text cleaning within a DataFrame
Part of
- Data Science roadmap — the full learning path