Path overview

In this path, you’ll master the mandatory technical skills, including Python programming, data pipelines, and data processing. You’ll also learn how to implement algorithms, how to work with multi-table databases using SQL, and key tools like pandas, NumPy, SQLite, MapReduce, and PostgreSQL.
Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Key skills
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How to program with Python and build complex data architecture to support organizations’ data strategy
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How to manage data pipelines and data processes to ensure correct implementation of your data architecture
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How to use data wrangling to clean, reshape, and unify multiple datasets and large amounts of data to be organized for analysis
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How to automate tasks to optimize the entire data workflow
The Dataquest guarantee
Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you'll master data skills and grow your career.
We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren't satisfied with your outcome, we'll give you a refund.
Master skills faster
with Dataquest
Go from zero to job-ready
Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.
Build your project portfolio
Build confidence with our in-depth projects, and show off your data skills.
Challenge yourself with exercises
Work with real data from day one with interactive lessons and hands-on exercises.
Showcase your path certification
Impress employers by completing a capstone project and certifying it with an expert review.
Path outline
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Projects in this path
Learning resources
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