Python for Finance Course

1 Review
2 Hours
You save 87% -

59 Lessons (2h)

  • Your First Program
  • Section 01: Introduction
    Course Overview4:22
    Why Python for Finance?8:01
    Why Spyder for Python?4:16
    Environment Setup
    Feedback 01 | Python for Finance
  • Section 02: Python Basics
    Python Introduction2:38
    Data Types8:54
    Conditions Loops6:57
    Python Assignment
    Feedback 02 | Python for Finance
  • Section 03: Numpy
    What is Numpy?2:38
    How To Install Python Libraries?3:23
    Indexing and Operations6:40
    Numpy Assignment
    Feedback 03 | Python for Finance
  • Section 04: Pandas Data Handling
    What is Pandas?4:50
    Moving Average5:14
    Pandas Assignment
    Feedback 04 | Python for Finance
  • Section 05: Matplotlib Visual Analysis
    What is Matplotlib?3:09
    Types of Plots3:30
    Creating Plots for Python - Part 15:37
    Creating Plots for Python - Part 26:54
    Matplotlib Assignment
    Feedback 05 | Python for Finance
  • Section 06: Scikit-learn Prediction
    What is Scikit-learn?2:26
    Types of Models3:27
    Prediction Models3:07
    What is Regression in Finance?2:22
    Linear Regression2:33
    Prediction - Data Preprocessing4:47
    Prediction - Regression4:56
    Scikit-learn Assignment
    Feedback 06 | Python for Finance
  • Section 07: S&P-500 Price Prediction
    S&P 500 Stock Price Prediction
    Data Processing2:01
    Prediction Part 13:45
    Prediction Part 22:40
    Project Solution
    Feedback 07 | Python for Finance
  • Section 08: Risk Analysis of Credit Card Defaulter
    Risk Analysis of Credit Card Defaulter
    Data Processing3:36
    Credit Card Defaulter Project Solution
    Feedback 08 | Python for Finance
  • Section 09: Bonus Resources
    Applications in Industry4:03
    Guide to Resources2:27
    Tutorial Links
    Dataset Links
    Feedback 09 | Python for Finance
  • Section 10: Conclusion
    Feedback 10 | Python for Finance

Perform Financial Tasks Using Python with 2 Hours of Content on Python Basics, Numpy, Pandas, & More

Yoda Learning

Yoda Learning

4.3/5 Instructor Rating: ★ ★ ★ ★

Yoda Learning is a team of 12+ industry professionals focused on developing project-based learning solutions, which allows students to accrue real-world experience and learn in an engaging and practical manner. Its courses encompass everything from web and mobile app development to data analytics and design.


As the demand for data is growing, a lot of domains are centering their operations around data. The finance industry is the most influenced by data, giving rise to a whole new FinTech industry where technology meets Finance. This course aims to keep you at the top of this emerging trend by teaching you how to use Python programming to perform your financial tasks. At the end of this Python to Finance Course, you will be able to implement your machine learning models to make predictions on financial data.

This course will guide you through everything you need to know about Python for Finance. It will start the journey with the fundamentals of Python. You will then proceed to learn about the core libraries used in the Py-Finance domain, including Numpy, Pandas, Matplotlib, and much more!

  • Access 59 lectures & 2 hours of content 24/7
  • Use Python programming to perform your financial tasks
  • Understand the fundamentals of Python
  • Learn about the core libraries used in the Py-Finance domain
  • Implement your machine learning models to make predictions on financial data


Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Certificate of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: intermediate


  • Any device with basic specifications


  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
Your cart is empty. Continue Shopping!
Processing order...