Introduction to Statistics

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.

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Syllabus

Syllabus - What you will learn from this course
Week 1
Introduction and Descriptive Statistics for Exploring Data
Week 2
Producing Data and Sampling
Probability
Week 3
Normal Approximation and Binomial Distribution
Sampling Distributions and the Central Limit Theorem
Week 4
Regression
Week 5
Confidence Intervals
Tests of Significance
Week 6
Resampling
Analysis of Categorical Data
Week 7
One-Way Analysis of Variance (ANOVA)
Week 8
Multiple Comparisons

FAQ

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:

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.

Reviews

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.

A very good course. Definitely a course to take for an introduction into Statistics. Also probably going to be very useful as I'm planning on taking Machine Learning.

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

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.