Interactive Course

Intro to Python for Finance

This course introduces Python for financial analysis.

  • 4 hours
  • 14 Videos
  • 55 Exercises
  • 7,190 Participants
  • 4,650 XP

Loved by learners at thousands of top companies:

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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.

  2. Arrays in Python

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

  3. 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.

  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.

  2. Lists

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

  3. Arrays in Python

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

  4. Visualization in Python

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

  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.

What do other learners have to say?

Devon

“I've used other sites, but DataCamp's been the one that I've stuck with.”

Devon Edwards Joseph

Lloyd's Banking Group

Louis

“DataCamp is the top resource I recommend for learning data science.”

Louis Maiden

Harvard Business School

Ronbowers

“DataCamp is by far my favorite website to learn from.”

Ronald Bowers

Decision Science Analytics @ USAA

Adina Howe
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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Collaborators
  • Lore Dirick

    Lore Dirick

  • Eunkyung Park

    Eunkyung Park

  • Sumedh Panchadhar

    Sumedh Panchadhar

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