This course is your guide to implementing the more advanced offerings of the popular Pandas library and explains how it can solve real-world problems. After a brief overview of the basics such as data structures and various data manipulation tasks such as grouping, merging, and reshaping data this video also teaches you how to manipulate, analyze, and visualize your time-series financial data. You will learn how to apply Pandas to important but simple financial tasks such as modeling portfolios, calculating optimal portfolios based upon risk, and more. This video not only teaches you why Pandas is a great tool for solving real-world problems in quantitative finance, it also takes you meticulously through every step of the way, with practical, real-world examples, especially from the financial domain where Pandas is a popular choice. By the end of this video, you will be an expert in using the Pandas library for any data analysis problem, especially related to finance. Style and Approach: This friendly course takes you through different data Analysis practices in Pandas. It is packed with step-by-step instructions and working examples. This comprehensive course is divided into clear bite-size chunks so you can learn at your own pace and focus on the areas of most interest to you.
Python users looking to master Pandas to perform real-world data analysis tasks quickly and efficiently will find this video very useful. It contains datasets and use-cases centered on simple financial examples.