Path overview

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.

Key skills

  • 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
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

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 everyone

Read 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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