Advanced Data Wrangling with Pandas

About Advanced Data Wrangling with Pandas

Pandas is a Python library used by data analysts and data scientists to clean, transform, and analyze data. If you have basic knowledge of pandas, then this course is for you.

Advanced-Data Wrangling with Pandas is an intensive course designed to elevate your data manipulation skills to the expert level. This comprehensive program dives deep into the powerful Pandas library, equipping you with advanced techniques to tackle complex data challenges efficiently.

Throughout nine carefully structured sections, you'll master a wide array of advanced topics. Starting with a refresher on Pandas fundamentals, you'll quickly progress to advanced string manipulation, DateTime handling, and multi-indexing techniques. The course covers crucial skills such as managing missing data, outlier detection, and sophisticated merging and joining operations.

You'll learn to optimize your code for performance, work with large datasets, and integrate Pandas with other data science libraries. Each section combines theoretical lectures with hands-on exercises, ensuring you can immediately apply your new knowledge to real-world scenarios.

Highlights include mastering regular expressions for text cleaning, advanced time-series analysis, and creating custom functions to extend Pandas' functionality. You'll also dive into memory optimization techniques and best practices for writing efficient Pandas code.

By the end of this course, you'll have transformed into a Pandas expert, capable of handling any data manipulation challenge with confidence and efficiency.