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

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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. 14 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. 14 hours to complete

English

Instructor

Instructor rating

4.56/5 (747 Ratings)

Guenther Walther

Professor of Statistics

Department of Statistics

262,685 Learners

1 Course

Syllabus - What you will learn from this course

Content Rating96%(14,408 ratings)

Week1

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 Welcome2mMeet Guenther Walther1mIntroduction1mPie Chart, Bar Graph, and Histograms6mBox-and-Whisker Plot and Scatter Plot3mProviding Context is Key for Statistical Analyses2mPitfalls when Visualizing Information1mMean and Median5mPercentiles, the Five Number Summary, and Standard Deviation2m[EXTRA] Industry Insight: Introduction to Andrew Radin3m

4 readings

Read First - Important Information About Your Course10mCourse Slides15mCourse Syllabus10mMeeting You - Pre-Course Survey10m

2 practice exercises

Quick Quiz About the Requirements30mIntroduction and Descriptive Statistics for Exploring Data30m

Week2

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)

Week3

Week 3

1 hour to complete

Normal Approximation and Binomial Distribution

1 hour to complete

10 videos (Total 27 min)

10 videos

The Normal Curve1mThe Empirical Rule2mStandardizing Data and the Standard Normal Curve2mNormal Approximation4mComputing Percentiles with the Normal Approximation1mThe Binomial Setting and Binomial Coefficient4mThe Binomial Formula3mRandom Variables and Probability Histograms2mNormal 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)

Week4

Week 4

1 hour to complete

Regression

1 hour to complete

10 videos (Total 34 min)

10 videos

Prediction is a Key Task of Statistics1mThe Correlation Coefficient2mCorrelation Measures Linear Association4mRegression Line and the Method of Least Squares2mRegression to the Mean, The Regression Fallacy3mPredicting y from x and x from y6mNormal Approximation Given x2mResidual Plots, Heteroscedasticity, and Transformations3mOutliers and Influential Points4m[EXTRA] Industry Insights: Challenges to Using Data Science in Medicine2m

1 practice exercise

Regression45m

Reviews

4.6

433 reviews

5 stars
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4 stars
20.45%
3 stars
5.81%
2 stars
2.13%
1 star
1.55%

TOP REVIEWS FROM INTRODUCTION TO STATISTICS

by BGJan 8, 2022

Challenging but a good overview of basic principles of statistics. Will allow me to read with a more critical eye figures that are used to support arguments.

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 LMFeb 12, 2022

Very intersting and insightful course. I believe some topics, especially those that come up often, could have been clarified further through definitions rather than mere examples

by SPFeb 21, 2023

The topics were explained very well by the instructor. Statistics can be intimidating but the professors way of teaching with examples made it easier to understand.

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Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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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.
What will I get if I purchase the Certificate?
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What is the refund policy?
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.
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