“Dataquest actually makes you think and apply your skills. You don’t really need to spend $10,000 dollars on a bootcamp.”

Miguel Couto

Big Data Analyst @Zattoo

Course overview

In this course, you’ll learn several techniques for sampling data, such as random sampling and cluster sampling. You’ll also learn about discrete variables and random variables in the context of frequency distributions, and the different types of charts and graphs you might use to visualize frequency distributions.

As you learn about these concepts and how to use them for more robust data analysis, you’ll be working with a dataset about basketball players in the WNBA (Women’s National Basketball Association) that contains general information about players, along with their metrics for the 2016-2017 season.

Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. At the end of the course, you’ll complete a portfolio project that asks you to investigate Fandango Movie Ratings to determine if Fandango is inflating movie ratings on its site. This is an opportunity to learn to identify and overcome common setbacks in practical data analysis.

Key skills

  • Sampling data using simple, random sampling, stratified sampling, and cluster sampling
  • Employing and measuring variables in statistics
  • Building, visualizing, and comparing frequency distribution tables

Course outline

Summarizing Data in SQL [4 lessons]

Summary Statistics with SQL 1h

Lesson Objectives
  • Combine aggregate functions with the WHERE clause
  • Combine aggregate and scalar functions
  • Combine aggregate functions and arithmetic operators

Group Summary Statistics with SQL 1h

Lesson Objectives
  • Define the GROUP BY clause
  • Apply the GROUP BY clause
  • Employ the GROUP BY clause with aggregate functions

Multiple Group Summary Statistics 1h

Lesson Objectives
  • Group database rows based on several criteria
  • Filter aggregate rows

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

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 your project portfolio

Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your path certification

Showcase your path certification

Impress employers by completing a capstone project and certifying it with an expert review.

Grow your career with

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Aaron Melton

Business Analyst at Aditi Consulting

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”


Jessica Ko

Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”


Victoria E. Guzik

Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”

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