Develop essential data science & ai skills with expert instruction and practical examples.
**Fully Updated (anticipating Pandas 3. x) in November 2025****Now with ChatGPT for Pandas & Data Analytics and Online Coding Exercises. ** The Finance and Investment Industry is experiencing a dramatic change driven by ever-increasing processing power & connectivity and the introduction of powerful Machine Learning tools.
The Finance and Investment Industry is more and more shifting from a math/formula-based business to a data-driven business. What can you do to keep pace. No matter if you want to dive deep into Machine Learning, or if you simply want to increase productivity at work when handling Financial Data, there is the very first and most important step: Leave Excel behind and manage your Financial Data with Python and Pandas.
Pandas is the Excel for Python and learning Pandas from scratch is almost as easy as learning Excel. Pandas seems to be more complex at a first glance, as it simply offers so much more functionalities. The workflows you are used to do with Excel can be done with Pandas more efficiently.
Pandas is a high-level coding library where all the hardcore coding stuff with dozens of coding lines are running automatically in the background. Pandas operations are typically done in one line of code. However, it is important to learn and master Pandas in a way that you understand what is going on you are aware of the pitfalls (Don´ts)you know best practices (Dos) MANAGE FINANCE DATA WITH PYTHON & PANDAS best prepares you to master new challenges and to stay ahead of your peers, fellows and competitors.
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