About this Course

582,425 recent views

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 (660 Ratings)

Guenther Walther

Professor of Statistics

Department of Statistics

216,317 Learners

1 Course

Syllabus - What you will learn from this course

Content Rating96%(12,029 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

4.6

368 reviews

5 stars
70.10%
4 stars
20.35%
3 stars
5.82%
2 stars
2.05%
1 star
1.66%

TOP REVIEWS FROM INTRODUCTION TO STATISTICS

by MKSep 12, 2021

very good course to take , because this course was explained in detailed and also by doing the quiz of this course helpful to learn perfectly.

by STOct 2, 2021

The course is very informative and easy to understand. Each topic was explained clearly with examples. Hope that there will be an advanced course

by SMNov 29, 2021

Good intro course, however, if you are coming from a no-scientific background would advice you work on a few mathematical concepts prior. Namely; basic algebra & probability

by TGMar 16, 2022

All the basics you are going to need in one place. Lacks details however, and assumes you will fill in the blanks with your own reasearch and study.

View all reviews

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:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
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?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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.

More questions? Visit the Learner Help Center.

Introduction to Statistics