Python Data Science with Pandas: Master 12 Advanced Projects

🌟 Python Data Science with Pandas: Master Advanced Projects 🌟

Fully updated and revised in December 2023

Course Headline:

Work with Pandas, SQL Databases, JSON, Web APIs, and more to master your real-world Machine Learning and Finance projects!

Welcome to the Premier Advanced Pandas Course!

This course is a game-changer. It's designed for learners who already know how to write basic Pandas code but are struggling to apply those skills effectively in real-world scenarios. 🌍➡️🔧

You'll move beyond the basics and tackle the complexities of data science projects with advanced importing techniques, sophisticated data manipulation, and high-level data analysis and visualization. This is where you'll refine your skills to an expert level. 🎓➡️🚀

Course Highlights:

• Advanced Data Importing: Master importing complex and nested data from JSON files, Web APIs, and SQL databases.
• Data Storage & Management: Learn to store data efficiently in JSON files and SQL databases, even with large and complex datasets.
• Parallel Processing: Discover how to work effectively with Pandas and SQL databases simultaneously for the best of both worlds.
• Handling Large Datasets: Efficiently import and merge data from many text/CSV files, and clean messy datasets with more advanced general code.
• Nested Data Flattening: Gain expertise in handling nested and stringified data within your DataFrames.
• Data Cleaning & Normalization: Master the art of cleaning and normalizing Unicode strings to ensure data integrity.
• Advanced Merging & Concatenation: Learn to merge and concatenate datasets efficiently, including scaling and automating data merging for large datasets.
• Visualization Tools: Enhance your visualizations using advanced Matplotlib & Seaborn tools for explanatory data analysis.
• Data Preprocessing & Feature Engineering: Explore how simple Pandas code can be used for effective preprocessing and feature engineering.
• Machine Learning Applications: Train and test machine learning models, and analyze the results on your preprocessed data.
• Finance Projects: Learn to backtest and forward test investment strategies, perform index tracking, and present your data with Python in a high-quality HTML format (Website Quality).

Course Coverage:

• Data Importing: JSON, Web APIs, SQL Databases.
• Data Manipulation: General code for large datasets, nested and stringified data handling.
• Data Analysis & Visualization: Advanced Matplotlib & Seaborn.
• Performance Testing: Aggregations and grouping with Pandas.
• Data Preprocessing: For Machine Learning.
• Machine Learning Application: Training models, analyzing results.
• Finance Applications: Backtesting, forward testing, index tracking, data presentation.

Instructor: Alexander Hagmann, Finance Professional & Data Scientist with over 7 years of industry experience and a best-selling instructor for Pandas, (Financial) Data Science, and Finance with Python.

I'm excited to guide you through this comprehensive course and help you elevate your data science skills to an expert level. Let's dive into the world of real-world applications of Pandas together! 🤓🚀

Join me, Alexander Hagmann, in this advanced journey through the realms of Python Data Science with Pandas! 🎉