Python Basics for Data Analysis Skill Path

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!

Get started for free

No credit card required.

Already have an account? Sign in →

By creating an account you agree to accept our terms of use and privacy policy.

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

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

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:

This skill path consists of the three courses listed below, which covers the fundamentals of data analysis.
You’ll write real code and answer dozens of practice problems to validate and apply your new skills.
At the end of each course, you’ll complete a guided project to enhance your resume and reinforce your new knowledge.
After completing each course, you will receive a certificate that you can share with your professional network.
After completing the entire skill path, you’ll understand the fundamental framework of Python for data analysis. More advanced courses are available if you want to keep learning!
Engage with the community, get feedback on your projects, and keep building.

Python Basics for Data Analysis Skill Path Course List

Python for Data Science: Fundamentals Part I
Learn the fundamentals of programming in Python and the fundamentals of data science.

Python for Data Science: Fundamentals Part II
Learn how to use Jupyter Notebook and how to build a portfolio project.

Python for Data Science: Intermediate
Learn how to clean and analyze text data, about object-oriented programming in Python, and how to work with dates and times.

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.