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Introduction to Python for Finance

4.8+
23 reviews
Beginner

Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.

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4 Hours14 Videos55 Exercises
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Course Description

Learn the Fundamentals of Python for Finance

The financial industry uses Python extensively for quantitative analysis, ranging from understanding trading dynamics to risk management systems. This course will show you how to analyze your financial data by building your Python skills.

Manipulate and Visualize Data with Python Packages

The first chapter explains how Python and finance go hand in hand. You will then learn Python basics such as printing output, performing calculations, understanding data types, and creating variables.

Next, you’ll cover lists and arrays in Python, exploring how you can use them to work with data. You’ll use the NumPy and Matplotlib packages to manipulate and visualize data.

Perform Financial Analysis Using Python

Finally, you will finish the course by conducting a Python financial analysis on an S&P 100 dataset. Here, you will apply your Python skills to filter lists, summarize sector data, plot P/E ratios in histograms, visualize financial trends, and identify outliers.

By the end of the course, you will be confident in your basic Python skills and practical financial analysis skills. These skills are highly rewarded in the finance industry to solve quantitative finance problems. This course is part of our Finance Fundamentals in Python track which is perfect for those who wish to delve deeper into Python for finance.
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In the following Tracks

Finance Fundamentals in Python

Go To Track
  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.

    Play Chapter Now
    Welcome to Python for Finance!
    50 xp
    Why might you use Python in finance?
    50 xp
    Run code vs. submit answer
    100 xp
    Comments and variables
    50 xp
    Printing output
    100 xp
    Finding the average revenue
    100 xp
    Data types
    50 xp
    Creating variables
    100 xp
    Determining types
    100 xp
    Booleans in Python
    100 xp
    Combining data types
    100 xp
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more

In the following Tracks

Finance Fundamentals in Python

Go To Track

Datasets

Stocks data (I)Stocks data (II)S&P 100 data

Collaborators

Collaborator's avatar
Lore Dirick
Collaborator's avatar
Eunkyung Park
Collaborator's avatar
Sumedh Panchadhar
Adina Howe HeadshotAdina Howe

Assistant Professor and Data Scientist

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Don’t just take our word for it

*4.8
from 23 reviews
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  • Anantha S.
    3 months

    Very well structured.

  • Oriol O.
    6 months

    A great beginning course

  • Trevor S.
    10 months

    Topics are explained must clearer in this intro to python lesson..

  • Archana S.
    about 1 year

    It was amazing for an absolute beginner.

  • Phil J.
    over 1 year

    the best ive found so far

"Very well structured."

Anantha S.

"A great beginning course"

Oriol O.

"Topics are explained must clearer in this intro to python lesson.."

Trevor S.

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