Upskill and take your finance skills to the next level with this Python for Finance class. You'll learn to analyze large amounts of financial data using Python, create visualizations, and start using statistics for predictive modeling.

You'll start by practicing foundational programming concepts like loops, functions, and objects in Python. The focus of the class will then shift to tabular data, as you find in CSV files or databases. You will learn how to clean and combine data, as well as generate useful statistics and visualizations from financial data. The final sessions will be focused on using linear regression to extrapolate from financial data and make predictions. 

This course is designed to give beginners the practical skills they need to start using data science with Python for financial analysis. Examples and exercises will emphasize how these techniques can be applied to real-world situations and use cases. Previous math or coding experience is not required.

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  • Hands-on training in small groups

    Work on projects proven to boost retention

  • Time-tested curriculum and supporting materials

    Refined over many cohorts for an optimal learning experience

  • Learn from industry experts with teaching experience

    Experienced educators who are driven to help you succeed

  • Retake the course for free within one year

    Refresh the materials and gain additional practice

Learn the concepts and skills covered in this course or your tuition is on us. See details and terms & conditions.

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What You’ll Learn

  • Foundational programming concepts including loops, functions, and objects
  • Handle different types of data, such as integers, floats, and strings
  • Control the flow of your programs with conditional statements
  • Reuse and simplify code with object-oriented programming
  • Analyze tabular data with Numpy and Pandas
  • Create graphs and visualizations with Matplotlib
  • Make predictions with linear regression, using scikit-learn