Foundations for Data Science
Regular fees: 129 USD
In today’s world, there is no shortage of data. But the quantity of information means nothing without the ability to understand it. This course 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 the 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.
Guenther Walther, Professor of Statistics
- Basic familiarity with computers and productivity software
- No calculus required
- Descriptive Statistics for Exploring Data
- Sampling and Randomized Controlled Experiments
- Introduction to Probability
- Sampling Distributions and the Central Limit Theorem
- Common Tests of Significance
- Multiple Comparisons
$129.00 per online course. Course materials and exercises will be available on-demand for 90 days after the launch of each cohort (every Tuesday).
This course will take approximately 6-8 hours to complete, depending on prior knowledge and experience.
Continuing Education Units
By completing this course, you’ll earn 1 Continuing Education Unit (CEU). CEUs cannot be applied toward any Stanford degree. CEU transferability is subject to the receiving institution’s policies.
Record of Completion
When you complete each course, you’ll receive an email with a link to download your Record of Completion. This email will be sent to the address you provide in your mystanfordconnection within 3 business days of course completion.
Contact us at 650-204-3984
This course will be delivered using a custom version of the Coursera platform. Stanford will launch a new session of the course every Tuesday for those who have registered by 12 pm (Noon) the Monday before. Upon registration for the course, you will receive further instructions on how to access the Coursera session.
90-day access to the online course starts with the launch of your cohort (every Tuesday).
The course is estimated to take 6-8 hours to complete. The course is divided into weekly sections based on recommended pacing and structure from the instructors. However, you are free to move through the material at your own pace.
This course may not currently be available to learners in some states and