Python for Finance

Implement your own machine learning models to make predictions on financial data

What's Inside

We will start the journey with the fundamentals of Python and then proceed to learn about the core libraries used in the Py-Finance domain, including Numpy, Pandas, Matplotlib, and much more!

We will cover the following topics that are used by many finance professionals in their day-to-day:

  • Python Data Types, Functions, Conditions and Loops
  • Numpy Python Libraries, Arrays, Indexing, and Operations
  • Pandas Series, Data Frame, Moving Average
  • Matplotib Types of Plots, Seaborn
  • Scikit Learn Prediction Models, Regression

This Python for Finance Course will teach you:

  • Where is Python used in the Finance Industry
  • Basics of Python programming
  • Use of Numpy for arrays and statistics
  • Pandas for data handling and pre-processing
  • Matplotlib to create beautiful visualizations of your data
  • Prediction on your data using Scikit-learn
  • Actual implementation of your leanings in two Finance projects

Check out the Course Curriculum for the complete list of videos in this course.

COURSE AUTHOR: Jai Kotia

  • Computer Engineer and Experienced Data Scientist
  • Research Author of several publications on Python Programming
  • Actively working involved in Machine Learning, particularly Deep Learning
  • Renown Programming Mentor and Founder of AI blog éclairé

Course Curriculum

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Certificate Available
1333+ Students
59 Lectures
2+ Hours of Video
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Zaid Ahmed

⮞ Completed all Three Levels of the CFA Program

⮞ Worked in the Financial Advisory unit of a top-tier consulting firm serving buy-side and sell-side firms

⮞ Performed due diligence in multiple investment/M&A deals ranging from $2mn to $100mn

⮞ Taught Classroom and Online Financial Modelling in Big 4 firms and B-Schools

⮞ Designed and Built Financial Model Templates for Digital Entrepreneurs (UptickGo)


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