Python Basics for Data Analysis

Learn how to analyze data using Python, the most popular programming language in data science. In this path, you’ll explore the basics of Python all the way through preparing data for analysis, predicting trends from data, and more. Dataquest will help you set yourself up for success on your data science journey.

Learn Python fundamentals at your own pace and from the comfort of home.

  • Discover the basics of Python programming
  • Learn intermediate concepts
  • Write and validate real code

Over 121,000 students have enrolled in this skill path. Join them today!

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What You’ll Learn

In this path, you’ll learn data analysis with Python from scratch, and by the end, you’ll understand how to use different libraries and functions through hands-on training.

You’ll gain useful knowledge of Python commands necessary for data analysis, as well as object-oriented programming (OOP) and its relation to data science.

Our Python basics for data analysis skill path gives those in the data field a chance to expand their knowledge. Whatever your motivation, you’ll learn how to approach data analysis with Python and master the key concepts you’ll need to achieve your goals.

Here’s a list of skills for this path:

  • Basic and intermediate Python programming
  • Data analysis and cleaning
  • Use Jupyter notebook
  • Object-oriented programming in Python
  • Work with date, time, and text data
money in envelope

Data analysts average between $68K to $100K per year according to Glassdoor.com

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Over 120,000 open data analyst roles are listed on LinkedIn

Data analysts projected 20% growth between 2018 and 2028, according to Indeed

How Our Python Basics for Data Analysis Skill Path Works

Our hands-on courses are interactive and engaging. This path will teach you data analysis using Python through courses that effectively build skills on data cleaning, data preparation, and more. Not only will you learn relevant, in-demand skills, but you’ll also apply them to dozens of different practice problems along the way.

This path will take you from beginner to job-ready. And if you have questions along the way, we’re here to help. With our built-in support tools and thriving community, you’ll never be far from a helping hand.

Here’s a quick glance at this skill path:

Python Basics for Data Analysis Course List


Variables, Data Types, and Lists in Python

Learn the fundamentals of Python programming and data science.

For Loops and Conditional Statements in Python

Learn the fundamentals of Python programming and data science.

Dictionaries, Frequency Tables, and Functions in Python

Learn the fundamentals of Python programming and data science.

Python Functions and Jupyter Notebook

Learn the fundamentals of Python programming and data science.

Python for Data Science Intermediate

Learn important Python data science skills.

Who is this Python Basics for Data Analysis Skill Path for?

Any skill set is welcome in the Python basics for data analysis skill path. You don’t need any knowledge of programming to start, and we’ll teach you the basics so you can be productive right away. It’s also a great way to test drive the world of data analysis and see if it’s a great fit for you.

Several well-known companies you know use Python, including Google, Facebook, NASA, Netflix, and more. Python is useful in a variety of other industries, too, such as web development, game development, software development, and robotics. Python for data analysis isn’t only for industrial use. Some use it to analyze their own data, like spending habits, or to create fun games or develop personal robots.

The possibilities are endless. If you have the creative itch for data analysis, then this path is a great place to start. We’re excited to see what you come up with.