Python Data Science with Pandas: Master 12 Advanced Projects

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

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Created by Alexander Hagmann

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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