In this path, you’ll learn the fundamentals of Python, as well as how to prepare and extract data by querying databases with SQL, how to create insightful data visualization, and how to perform descriptive and predictive statistical analysis.
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 to perform complex statistical analysis of large datasets
How to perform SQL queries and web-scraping to explore and extract data from databases and websites
How to perform efficient data analysis from start to finish
How to build insightful data visualizations to tell stories
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.
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Projects in this path
8 Skills You Need to Become a Data Analyst
Learn the key skills required to get a job as a Data Analyst.Read Article
Data Engineer, Data Analyst, Data Scientist — What’s the Difference?
Learn which data role is right for you.Read Article
Do You Need a Certificate to Become a Data Analyst?
Find out if you need a certification to become a Data Analyst.Read Article
An Objective Comparison Between R vs Python for Data Analysis
Determine whether R or Python will work better for you.Read Article
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