“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 how to summarize distributions using the mean, the median, and the mode, as well as when to use them. It will teach you which statistic gives you the most information about a distribution so you know not only how to apply them but also why you should.

You’ll then learn to measure variability using variance or standard deviation, and how to locate and compare values using z-scores. We’ll then explore range, mean absolute deviation, variance, and standard deviation. You’ll also learn about z-Scores and how to use them to compare values across any distribution.

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 guided project that asks you to find the best markets for advertising an e-learning platform that combines your data science programming skills and the statistical skills you’ve learned in this course.

Key skills

  • Summarizing a distribution using the mean, the weighted mean, the median, and the mode
  • Measuring the variability of a distribution using the variance and the standard deviation
  • Locating and comparing values using z-scores

Course outline

Intermediate Statistics in Python [6 lessons]

The Mean 2h

Lesson Objectives
  • Identify the mean as the balance point of a distribution
  • Distinguish between the sample and the population mean
  • Employ the sample mean as an unbiased estimator

The Weighted Mean and the Median 2h

Lesson Objectives
  • Define the weighted mean
  • Employ the weighted mean
  • Define the median
  • Employ the median

The Mode 1h

Lesson Objectives
  • Define the mode
  • Employ the mode
  • Identify summary metrics in skewed and symmetrical distributions

Measures of Variability 2h

Lesson Objectives
  • Define range
  • Define mean absolute deviation
  • Define variance
  • Define standard deviation

Z-scores 2h

Lesson Objectives
  • Define z-scores
  • Standardize a distribution
  • Create comparisons using z-scores

Guided Project: Finding the Best Markets to Advertise In 1h

Lesson Objectives
  • Expand your portfolio with a project on averages and variability
  • Generate business value using statistics skills

Projects in this course

Guided Project: Finding the Best Markets to Advertise In

For this project, we’ll assume the role of analysts for an e-learning company that wants to promote its programming courses. Using Python and pandas, we’ll explore survey data from new coders to determine the two best markets to advertise in based on the number of potential customers and their willingness to pay.

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

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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.

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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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