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.
About this Course
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Beginner Level
- Basic familiarity with computers and productivity software
- No calculus required
Approx. 11 hours to complete
English
Subtitles: English
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
- Basic familiarity with computers and productivity software
- No calculus required
Approx. 11 hours to complete
English
Subtitles: English
Offered by

Stanford University
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
Syllabus - What you will learn from this course
1 hour to complete
Introduction and Descriptive Statistics for Exploring Data
1 hour to complete
10 videos (Total 30 min), 3 readings, 1 quiz
10 videos
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
Industry Insight: Introduction to Andrew Radin3m
3 readings
Read First - Important Information About Your Course10m
Course Slides10m
Course Syllabus10m
1 practice exercise
Introduction and Descriptive Statistics for Exploring Data30m
1 hour to complete
Producing Data and Sampling
1 hour to complete
6 videos (Total 14 min)
6 videos
Simple Random Sampling and Stratified Random Sampling3m
Bias and Chance Error1m
Observation vs. Experiment, Confounding, and the Placebo Effect4m
The Logic of Randomized Controlled Experiments41s
Industry Insights: Filing a Patent for twoXAR1m
1 practice exercise
Producing Data and Sampling30m
1 hour to complete
Probability
1 hour to complete
8 videos (Total 27 min)
8 videos
Complement, Equally Likely Outcomes, Addition, and Multiplication4m
Four Rules Example: How to Deal with "At Least One"2m
Solving Problems by Total Enumeration3m
Bayes' Rule3m
Bayesian Analysis4m
Warner's Randomized Response Model3m
Industry Insights: Drug Discovery at twoXAR1m
1 practice exercise
Probability30m
1 hour to complete
Normal Approximation and Binomial Distribution
1 hour to complete
10 videos (Total 27 min)
10 videos
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
Industry Insights: Opportunities in Life Sciences57s
1 practice exercise
The Normal Approximation for Data and the Binomial Distribution30m
Reviews
TOP REVIEWS FROM INTRODUCTION TO STATISTICS
by STAug 9, 2020
Lots of material, personable professor, good course.
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