Data Maverick HQ: Data Analyst Bootcamp Curriculum

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Get immediate access to my curriculum we used in our Certified Professional Data Analyst Bootcamp (5★ rating and 343 sales) live cohorts

Become a Certified Professional Data Analyst in 3 months.

Learn six-figure data skills without leaving your home or signing up for a degree using our Data Analyst Bootcamp curriculum.

Unlike many data analytics programs, you won't pay for live instruction that has you thinking, "I paid thousands of dollars for this?"

Instead, you'll learn using online courses that 2,500+ companies and 80% of the Fortune 1000 use to upskill their teams.

Plus, a hand-picked selection of my favorite Data Analyst career articles from former Google Chief Decision Scientist, Cassie Kozyrkov.

Plus, 2 open-ended project guides to showcase your new skills for your portfolio in your desired industry.

Our students bring their own lowest-priced DataCamp subscription and is not included in the price.

Frequently asked questions

• What do the courses in the curriculum cost? The prices of some of my recommended courses vary depending on your billing location and how long you take to finish them. For folks in the United States, the courses will be $117 total if you finish in 3 months (3 months of a DataCamp Premium subscription - note: affiliate link that supports our community). Most of our members sign up for DataCamp's annual subscription which is frequently on sale for $150.
• How long does it take? There are 90 hours of content in the curriculum. That is focused study time, so not including breaks. One student who had no Python experience prior and had an undergraduate STEM degree who studied 3x a week and attended all of the sessions finished in 3 months. We recommend you study 1 hour on your own on Tuesday and Thursday outside of our group sessions if you want to complete the program faster.
• What should I learn before starting? There are no prerequisites for my curriculum other than basic math skills (addition, subtraction, multiplication, and division).

Who curated this curriculum?

David Venturi graduated from Queen's University with a dual degree in Chemical Engineering and Economics in 2014. After working for a year, he discovered online education (in the early MOOC era) and became enamored with its potential. He has since created content to help people navigate the space, including a DIY data science master's program, Class Central's Data Science Career Guide, courses for Udacity's Data Analyst Nanodegree program, and several DataCamp courses and projects. He has analyzed data professionally since 2010 using Excel, and since 2015 using Python, R, and SQL. He is now sharing his latest favorite course picks so aspiring data professionals can kickstart their dream data career. Connect with him on LinkedIn.