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.
How to program with Python and build complex data architecture to support organizations’ data strategy
How to manage data pipelines and data processes to ensure correct implementation of your data architecture
How to use data wrangling to clean, reshape, and unify multiple datasets and large amounts of data to be organized for analysis
How to automate tasks to optimize the entire data workflow
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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.
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Projects in this path
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