Data Analyst in Python

The technical skills of a data analyst using Python are in massive demand in today’s growing, data-dependent world. This career path is great for beginners and professionals alike, as it starts with the fundamentals and works through advanced topics. Completing this path will set you up for success as a qualified, job-ready data analyst. 

Write real code, and build coveted data analyst skills that’ll wow employers — all from the comfort of your browser and at your own pace.

  • Build your knowledge of basic and intermediate Python programming concepts
  • Master statistics and probabilities
  • Discover collaboration tools like Git and SQL databases
  • Explore and gain proficiency in data cleaning, visualization, and storytelling
  • Construct a portfolio to help you land a real job

Unsure if the data analyst career path is the right one for you? Take our career path quiz here.

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Data Analyst in Python

Learning data analysis and relevant topics on your own is difficult, confusing, and unmotivating. Dataquest is here to streamline that process. With our data analyst in Python path, we’ll guide you through each in-demand skill required to be efficient and job-ready as a data analyst. 

Here are the most sought-after data skills recruiters look for, and Dataquest teaches all of them:

  • Python programming
  • Data cleaning, analysis, and visualization
  • Web scraping, and APIs
  • Data analysis in business
  • SQL databases
  • Probability and statistics
  • Hypothesis Testing
  • Git & Version Control
  • Command-line/bash

Data Analyst in Python

By the time  you finish our program, you’ll have mastered all the skills required to become a data analyst. With our online data analysis courses, you’ll learn the Python fundamentals, dig into data analysis and data visualization using popular packages like pandas, query databases with SQL, and study statistics — among other things!

Navigating a new career path doesn’t have to be intimidating. Dataquest walks you through every step of the way . . . we don’t believe in boring, uninspiring videos. We provide hands-on and interactive teaching, so you’ll be engaged at every step. Not only will you learn in-demand skills, you’ll also have the opportunity to put them into practice.

If you have a hard time on a topic, or if you have any questions, we’re here with the support you need. Here’s a snapshot of our data analyst in Python path curriculum:

  • Our data analyst in Python career path is a series of courses that include Python fundamentals to advanced topics like web scraping and SQL for data analysis — and everything in between. 
  • You’ll write real code and answer practice problems to maximize retention. Occasionally redo lessons to help review things you may have forgotten.
  • At the end of each course, you’ll complete a guided project to apply your new skills while building your portfolio to show potential employers.
  • Upon completion of each course, you’ll receive a certificate that you can share with your professional network — or use to enhance your resume.
  • Once you complete this path, you’ll have the skills necessary to be a data analyst!

Enroll in this career path. Complete our courses. Become a data analyst. It’s that simple.

Data Analyst Career Path Course List

Python for Data Science: Fundamentals Part I

Learn the basics of Python programming and data science.

Python for Data Science: Fundamentals Part II

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.

Data Analysis in Business

Learn about the subjective aspects of data science in a business setting.

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.

Who Is This Data Analyst in Python Career Path for?

The data analyst in Python career path starts with the fundamentals and then builds advanced skills. You don’t need any experience to start, and all skill levels are welcome. 

This career path is for individuals ready for a career change, data professionals looking to enhance their skills for the next promotion, and college students who want a massive head start in their data careers. 

Grow your career as a Data Analyst in Python with our career path.

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