“I wouldn’t be where I was without Dataquest. Be confident in what you learn with Dataquest. If you take the time to learn, you will be one of the few people in the world that can do what you do.”

Vicknesh Mano

Data Science Manager @Accenture

Course overview

In this course, you’ll learn several techniques for sampling data, such as random sampling and cluster sampling; you’ll also learn concepts such as 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.

Best of all, you’ll learn by doing — you’ll practice 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.

In the guided project, you’ll investigate Fandango Movie Ratings to determine if Fandango is inflating movie ratings on its site. This project is a chance for you to apply the statistics skills you’ve learned and overcome common setbacks in practical data analysis.

Key skills

  • Sampling data using simple, random, stratified and cluster sampling
  • Measuring variables in statistics
  • Building, visualizing, and comparing frequency distributions

Course outline

Introduction to Statistics in Python [6 lessons]

Sampling 3h

Lesson Objectives
  • Define populations and samples
  • Employ various sampling methods

Variables in Statistics 2h

Lesson Objectives
  • Define variables in statistics
  • Identify different kinds of variables
  • Measure variables

Frequency Distributions 2h

Lesson Objectives
  • Define frequency distributions
  • Generate frequency distribution tables
  • Generate grouped frequency distribution tables
  • Define proportions, percentages, and percentiles

Visualizing Frequency Distributions 1h

Lesson Objectives
  • Identify the importance of visualizing distributions
  • Generate bar plots, pie charts, and histograms
  • Employ bar plots, pie charts, and histograms

Comparing Frequency Distributions 2h

Lesson Objectives
  • Compare frequency distributions
  • Define grouped bar plots
  • Define step-type histograms
  • Define kernel density estimate plots
  • Define strip plots and box plots

Guided Project: Investigating Fandango Movie Ratings 1h

Lesson Objectives
  • Expand your portfolio with a statistics project
  • Identify common setbacks in practical data analysis

Projects in this course

Guided Project: Investigating Fandango Movie Ratings

For this project, we’ll step into the role of data journalists to analyze movie ratings data and determine if there’s evidence of bias in Fandango’s rating system. We’ll apply statistical analysis skills using Python.

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

Share the evidence of your hard work with your network and potential employers.

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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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