About this Course

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Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.
Topics include Descriptive Statistics, Sampling and Randomized Controlled Experiments, Probability, Sampling Distributions and the Central Limit Theorem, Regression, Common Tests of Significance, Resampling, Multiple Comparisons.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Beginner Level

Basic familiarity with computers and productivity software
No calculus required

Approx. 15 hours to complete

English

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Beginner Level

Basic familiarity with computers and productivity software
No calculus required

Approx. 15 hours to complete

English

Instructor

Instructor rating

4.55/5 (701 Ratings)

Guenther Walther

Professor of Statistics

Department of Statistics

241,309 Learners

1 Course

Syllabus - What you will learn from this course

Content Rating96%(13,344 ratings)

Week

1

Week 1

2 hours to complete

Introduction and Descriptive Statistics for Exploring Data

2 hours to complete

10 videos (Total 30 min), 4 readings, 2 quizzes

10 videos

Course Welcome2m

Meet Guenther Walther1m

Introduction1m

Pie Chart, Bar Graph, and Histograms6m

Box-and-Whisker Plot and Scatter Plot3m

Providing Context is Key for Statistical Analyses2m

Pitfalls when Visualizing Information1m

Mean and Median5m

Percentiles, the Five Number Summary, and Standard Deviation2m

[EXTRA] Industry Insight: Introduction to Andrew Radin3m

4 readings

Read First - Important Information About Your Course10m

Course Slides15m

Course Syllabus10m

Meeting You - Pre-Course Survey10m

2 practice exercises

Quick Quiz About the Requirements30m

Introduction and Descriptive Statistics for Exploring Data30m

Week

2

Week 2

1 hour to complete

Producing Data and Sampling

1 hour to complete

6 videos (Total 14 min)

1 hour to complete

Probability

1 hour to complete

8 videos (Total 27 min)

Week

3

Week 3

1 hour to complete

Normal Approximation and Binomial Distribution

1 hour to complete

10 videos (Total 27 min)

10 videos

The Normal Curve1m

The Empirical Rule2m

Standardizing Data and the Standard Normal Curve2m

Normal Approximation4m

Computing Percentiles with the Normal Approximation1m

The Binomial Setting and Binomial Coefficient4m

The Binomial Formula3m

Random Variables and Probability Histograms2m

Normal Approximation to the Binomial; Sampling Without Replacement3m

[EXTRA] Industry Insights: Opportunities in Life Sciences57s

1 practice exercise

The Normal Approximation for Data and the Binomial Distribution45m

1 hour to complete

Sampling Distributions and the Central Limit Theorem

1 hour to complete

9 videos (Total 23 min)

Week

4

Week 4

1 hour to complete

Regression

1 hour to complete

10 videos (Total 34 min)

10 videos

Prediction is a Key Task of Statistics1m

The Correlation Coefficient2m

Correlation Measures Linear Association4m

Regression Line and the Method of Least Squares2m

Regression to the Mean, The Regression Fallacy3m

Predicting y from x and x from y6m

Normal Approximation Given x2m

Residual Plots, Heteroscedasticity, and Transformations3m

Outliers and Influential Points4m

[EXTRA] Industry Insights: Challenges to Using Data Science in Medicine2m

1 practice exercise

Regression45m

Reviews

4.5

398 reviews

5 stars
69.80%
4 stars
20.52%
3 stars
5.73%
2 stars
2.27%
1 star
1.65%

TOP REVIEWS FROM INTRODUCTION TO STATISTICS

by MXFeb 1, 2022

It was short and informational, but the knowledge is somehow deep for beginners. Maybe the lecturer elaborating a little bit more on major concepts would be profitable for beginners.

by RAAug 6, 2022

Very useful for anyone interested in basic concepts of statistics and statistical inference. It prepares one to enrol for more advanced courses like Machine Learning.

by KMJul 25, 2022

Amazing course, I especially enjoyed the tests and exercises which led to applicable knowledge and higher confidence. Huge THANK YOU to everyone involved!

by RTJun 2, 2022

The course content presenter is very experienced and he presented the material in very intutive way. Thank you very much Sir for sharing your knowledge and experience.

View all reviews

Frequently Asked Questions

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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Introduction to Statistics

Introduction to Statistics

About this Course