Python Data Science with Pandas: Master 12 Advanced Projects

***Fully updated and revised in October 2025***Welcome to the first advanced and project-based Pandas Data Science Course. This Course starts where many other courses end: You can write some Pandas code but you are still struggling with real-world Projects becauseReal-World Data is typically not provided in a single or a few text/excel files -> more advanced Data Importing Techniques are requiredReal-World Data is large, unstructured, nested and unclean -> more advanced Data Manipulation and Data Analysis/Visualization Techniques are required many easy-to-use Pandas methods work best with relatively small and clean Datasets -> real-world Datasets require more General Code (incorporating other Libraries/Modules) No matter if you need excellent Pandas skills for Data Analysis, Machine Learning or Finance purposes, this is the right Course for you to get your skills to Expert Level. Master your real-world Projects.

This Course covers the full Data Workflow A-Z:Import (complex and nested) Data from JSON files. Import (complex and nested) Data from the Web with Web APIs, JSON and Wrapper Packages. Import (complex and nested) Data from SQL Databases.

Store (complex and nested) Data in JSON files. Store (complex and nested) Data in SQL Databases. Work with Pandas and SQL Databases in parallel (getting the best of both worlds).

Efficiently import and merge Data from many text/CSV files. Clean large and messy Datasets with more General Code. Clean, handle and flatten nested and stringified Data in DataFrames.