In this path, you will gain experience in manipulating, comparing, and presenting compelling and actionable data and you’ll discover the best methods for visualizing data using line graphs, histograms, bar charts, scatter plots, and more.
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.
Programming with Python to manipulate data
Using the Python libraries Pandas and NumPy for data analysis
Using the most common data visualization techniques to explore data
Using data visualization to convey insights and tell a story
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
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
5 Essential Data Skills for the 21st Century
Here are five core skills for working with data that can benefit everyoneRead Article
An Objective Comparison Between R vs Python for Data Analysis
Determine whether R or Python will work better for you.Read Article
11 Design Tips for Data Visualization
Here are some easy techniques to make your data look better.Read Article
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