Introduction to Python for Finance

This course introduces Python for financial analysis.
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4 Hours14 Videos55 Exercises22,337 Learners
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Course Description

The financial industry is increasingly adopting Python for general-purpose programming and quantitative analysis, ranging from understanding trading dynamics to risk management systems. This course focuses specifically on introducing Python for financial analysis. Using practical examples, you will learn the fundamentals of Python data structures such as lists and arrays and learn powerful ways to store and manipulate financial data to identify trends.

  1. 1

    Welcome to Python

    Free
    This chapter is an introduction to basics in Python, including how to name variables and various data types in Python.
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  2. 2

    Lists

    This chapter introduces lists in Python and how they can be used to work with data.
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  3. 3

    Arrays in Python

    This chapter introduces packages in Python, specifically the NumPy package and how it can be efficiently used to manipulate arrays.
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  4. 4

    Visualization in Python

    In this chapter, you will be introduced to the Matplotlib package for creating line plots, scatter plots, and histograms.
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  5. 5

    S&P 100 Case Study

    In this chapter, you will get a chance to apply all the techniques you learned in the course on the S&P 100 data.
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In the following tracks
Finance Fundamentals
Collaborators
Sumedh PanchadharLore DirickEunkyung Park
Adina Howe Headshot

Adina Howe

Assistant Professor and Data Scientist
Adina is an Assistant Professor in the College of Engineering at Iowa State University (ISU) in Ames, Iowa. She teaches numerical methods, computational biology, and data science courses in the undergraduate and graduate programs. Her research focuses on using computational tools to help address global grand challenges, such as how to best manage our land and water resources. She loves dogs, board games, and using programming to solve problems that help people.
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