Who You Are Now

You are interested in a Data Science immersive and would prefer to prepare in a flexible, self-paced online program. You are potentially interested in making a career change into Data Science but want to learn more about the discipline before committing to an immersive course.

What You'll Be Capable Of

By the end of this course you'll have the foundational skills necessary for success in a Data Science Immersive program. You will have accessed data in a SQL database, sliced and diced data in Python, and refreshed the math and statistics skills that are the foundation of all data analysis.

Online Learning with Industry Professional Mentors

Work independently through the online curriculum while meeting once a week with a professional Data Scientist. Work together with your mentor to complete end-to-end data science projects and build your confidence for success in an immersive program.

Join the Galvanize Data Science Network

Our mentors are trained to help students of all levels learn Data Science from the ground up. Galvanize Data Science Mentors are your partners dedicated to your success.



with four 30 minute mentoring sessions per month

Your Schedule

Set Your Own

5-10 Hours per Week


Self Paced

1 Month Minimum



per Month

You don't have to relocate or quit your day job. Learn with input from industry professionals.

How It Works

  • Enroll & Meet Your Mentor
  • Receive recommended curriculum from your mentor after initial assessment
  • Check-in weekly with your mentor for feedback on your work
  • Present your industry-based project to your mentor
  • Receive course completion certification and go put your skills to work!

Meet the Mentors

Gretchen Riggs
Data Scientist at Bee Corps

Gretchen Riggs is a Data Scientist with agri-tech startup The Bee Corp, that performs predictive analytics on honeybees, as well as an instructor for Galvanize's Python Fundamentals course.

Crystal Humphries
Ph.D., Data Scientist at Zymergen

Data scientist with Human Genomics Ph.D. and 8+ years experience in analysis and machine learning on large datasets using a range of tools including Python, R, Pig, Hadoop, and SQL. Developed an anomaly detection system that is currently in production at Amazon.

We also offer tuition discounts for those who continue on to our full-time immersive course.

Start Preparing Like a Data Scientist

This immersive prep course offers 50+ hours of training in the tools that data scientists use every day: Python, linear algebra, statistics, SQL, and machine learning.


This unit covers Python, a popular programming language used by working data scientists. Topics include fundamental data types, like strings, booleans, lists, and dictionaries. You’ll learn to write your own functions, create your own objects, and use them to organize your code in to clean, professional flow.

Linear Algebra

Data are represented as vectors and matrices, which are the basic objects studied in linear algebra. This unit covers the tools of linear algebra that are most relevant to data science.

Probability & Statistics

Model real data using common probability distributions, and apply concepts from probability and statistics to infer properties of the data generating process.


Learn how databases are structured. Use SQL to add and remove data from a database, query a database to answer data-based questions, including using aggregations and joins.

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