Data Analyst in Python

This career path will guide you through a smooth sequence of data analyst courses, covering everything you need to learn to work as a data analyst using Python.

With our data analysis courses, you’ll learn the Python fundamentals, dig into data analysis and data viz using popular packages like pandas, query databases with SQL, and study statistics, among other things!

It's designed so that there are no prerequisites and no prior experience required. Everything you need to learn to work as a data analyst, you'll learn on this path!

As you learn, you'll apply each concept immediately by writing code right in your browser that's automatically checked by our system to give you near-instant feedback on your progress.

We think the best way to learn is to learn by doing, so you'll be challenged every step of the way to really apply the concepts you're learning, and you'll build a variety of projects using real-world data to solve real data science problems.

By the end of this path, you'll have the skills you need to work as a data analyst, and you'll be comfortable with things like:

  • Basic and intermediate programming concepts
  • How to clean and visualize data.
  • Probability and statistics for data analysis.
  • Collaboration tools like git and SQL databases.
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What do learners say about our Python courses?

97%

recommend Dataquest for career improvement

8 in 10

say learning with Dataquest has improved their lives

2.5M+

total missions completed by Dataquest learners

For more on what our learners think of Dataquest, check out our student outcomes.

Full List of Data Analysis Courses

Python for Data Science: Fundamentals

Learn the basics of Python programming and data science.

Python for Data Science: Intermediate

Learn the basics of Python programming and data science.

Pandas & NumPy Fundamentals

Learn how to analyze data using the pandas and NumPy libraries.

FREE + BASIC

Exploratory Data Visualization

Learn how to explore data by creating and interpreting data graphics. This course is taught using matplotlib and pandas.

Storytelling Through Data Visualization

Learn how to communicate insights and tell stories using data visualization.

Data Cleaning and Analysis

Learn how to clean and combine datasets, then practice your skills.

Data Cleaning in Python: Advanced

Learn advanced techniques for cleaning data in Python.

Data Cleaning Project Walkthrough

Learn how to clean and combine datasets, then practice your skills.

Elements of the Command Line

Learn Bash to establish a foundation of working the command line as a springboard to using the command line for data science.

Text Processing in the Command Line

Learn about text processing in the command line and how to use it in your data analysis workflow.

SQL Fundamentals

Learn the basics of working with SQL databases.

Intermediate SQL for Data Analysis

Learn to work with multi-table databases.

APIs and Web Scraping in Python

Learn how to acquire data from APIs and the web.

Statistics: Fundamentals

Learn about sampling, variables and distributions.

Statistics Intermediate: Averages & Variability

Learn to summarize distributions, measure variability using variance or standard deviation, and compare values using z-scores.

Probability Fundamentals

Learn the fundamentals of probability theory using Python.

Conditional Probability

Learn about conditional probability, Bayes' theorem, and Naive Bayes.

Hypothesis Testing: Fundamentals

Learn more advanced statistical concepts including A/B tests and chi-squared tests for more powerful data analysis.

Command Line: Intermediate

Learn more about the command line and how to use it in your data analysis workflow.

Git & Version Control

Learn the basics of Python programming and data science.

Frequently asked questions about working as a Data Analyst

What is a data analyst?

Data Analysts deliver value to their companies by taking data, using it to answer questions, and communicating the results to help make business decisions.

A data analyst's day-to-day tasks might include data cleaning, performing analysis and creating data visualizations.

Depending on the industry, a data analyst may go by a different title (e.g. Business Analyst, Business Intelligence Analyst, Operations Analyst, Database Analyst). Regardless of title, the data analyst is a generalist who can fit into many roles and teams to help others make better data-driven decisions.


What skills do I need to become a data analyst?

The core skills for data analysis work include:

  • SQL
  • Programming in Python (or R)
  • Data Cleaning
  • Data Analysis
  • Data Visualization
  • Statistical Analysis

Our interactive data analyst courses teach all of these skills from scratch, and also cover useful "workflow" skills like the command line and Git!


Data Analysis vs. Data Analytics —  What's the difference?

Data analysis is the process of examining and analyzing data to answer questions, find patterns, etc. Data analytics is the discipline that involves everything related to data management (including but not limited to data analysis). 

In everyday speech, however, these terms are often used interchangeably.

Which data analyst courses are best?

There are lots of options out there, from online lectures through Udemy, Coursera, and EdX to traditional in-person learning at universities like Harvard. But the best course is the one that gets you to your goal — means there's no single "best" course for everyone.

There are a few things that make Dataquest's data analyst courses, uniquely effective, though:

  • All interactive, no videos. The science says that most people learn best by doing. Our courses are focused on getting you hands-on with real data analyst work, so we won't waste your time with video lectures or make you watch someone else write code.
  • Job-ready skills. Our courses were chosen based on an analysis of real-world data analyst job postings, to ensure we're covering all the right skills. And each course teaches with real data, challenging you to complete real-world data analysis projects just like the ones you'll be confronting at work.  
  • Zero gaps. Our data analyst courses are arranged in a very careful sequence, so that each course builds on the skills you've already learned, and you won't encounter prerequistes or "gaps" you need to fill. This is your one-stop data analysis learning platform!


I don't want to be a Data Analyst, are these courses useful?

Yes! Even if you don't aspire to work as a full-time data analyst, the skills covered in this course path are useful for anyone who works with data on a regular basis, or anyone who's interested in future-proofing their skill set with some data literacy.


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Frequently asked questions about Dataquest

How long do these courses take?

On Dataquest, you can learn at your own pace. There's no set course schedule you need to worry about.

Different learners work at different paces, but a typical learner might finish data analyst course path in several months to a year, depending on how much time they were able to dedicate to it.

Read more about how long it takes to learn Python.


Where are the videos?

We don't teach with videos. We think the best way to learn programming is to actually write code, not watch someone else write code.

Read more about the science behind our hands-on learning approach.


Does Dataquest offer beginner, intermediate, and advanced courses?

Yes! This path is organized to take you smoothly from zero experience to job qualified. Courses earlier in the path are very suitable for beginners, and the courses at the end of the path cover more advanced topics.


Does Dataquest offer Data Analyst course certificates?

Yes, you'll receive a certificate for completion of each individual course, as well as a path completion certificate once you complete the full data analyst path.

Can I try it for free?

Yes, and you should! Sign up for a free account and get started right now, right in your browser!


What course topics does Dataquest offer?

In this path, course topics include Python, SQL, statistics, Git, and the command line, along with skills like data cleaning, data analysis, and data visualization. We also offer other courses in other paths, though, including a full data scientist path, a path that's focused on doing data analysis with R, and a full suite of data engineering courses.


What is the Data Analyst path useful for?

We've designed this course with total beginners in mind, and the path will walk you through learning all of the important technical skills, like Python and SQL, from scratch.

It also covers the statistics you'll need to understand everything that's happening "under the hood" in your code. We don't teach mathematics from complete scratch, but as long as you've taken high school algebra, you should be ready to dive into our statistics content.

If you want to become a data analyst or data scientist, this is a great place to start your journey. If you just want to learn a little Python to help out with a project at work, starting this path will be great for that too.