Python Data Science with Pandas: Master 12 Advanced Projects - Work with Pandas, SQL Databases, JSON, Web APIs & more to master your real-world Machine Learning & Finance Projects
“Python Data Science with Pandas: Master 12 Advanced Projects” is an advanced and project-based Pandas Data Science Course that teaches you how to work with Pandas, SQL Databases, JSON, Web APIs & more to master your real-world Machine Learning & Finance Projects. The course starts where many other courses end: You can write some Pandas code but you are still struggling with real-world Projects because Real-World Data is typically not provided in a single or a few text/excel files -> more advanced Data Importing Techniques are required
What you'll learn
- Advanced Real-World Data Workflows with Pandas you won´t find in any other Course.
- Working with Pandas and SQL-Databases in parallel (getting the best out of two worlds)
- Working with APIs, JSON and Pandas to import large Datasets from the Web
- Bringing Pandas to its Limits (and beyond...)
- Machine Learning Application: Predicting Real Estate Prices
- Finance Applications: Backtesting & Forward Testing Investment Strategies + Index Tracking
- Feature Engineering, Standardization, Dummy Variables and Sampling with Pandas
- Working with large Datasets (millions of rows/columns)
- Working with completely messy/unclean Datasets (the standard case in real-world)
- Handling stringified and nested JSON Data with Pandas
- Loading Data from Databases (SQL) into Pandas and vice versa
- Loading JSON Data into Pandas and vice versa
- Web-Scraping with Pandas
- Cleaning large & messy Datasets (millions of rows/columns)
- Working with APIs and Python Wrapper Packages to import large Datasets from the Web
- Explanatory Data Analysis with large real-world Datasets
- Advanced Visualizations with Matplotlib and Seaborn
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