20 Essential MOOC Courses In Business

Introduction to Statistics: Probability


School: University of California-Berkeley

Platform: EdX

Link: Introduction to Statistics: Probability

Start Date: April 14, 2014 (5 Weeks)

Workload: Not Specified

Instructors: Ani Adhikari and Philip B. Stark

Credentials: Dr. Adhikari takes pride in her ability to teach statistics to students with minimal math background. As a senior lecturer, she has earned the Dean’s Award for Distinguished Teaching at Berkeley. She earned her Ph.D. in statistics at Berkeley. Dr. Stark developed the first online course at Berkeley. A renaissance man, he has published research on topics ranging from the census to the seismic structure of the sun and the earth. He has also consulted with various public entities, including the Department of Justice and the Federal Trade Commission.

Graded: Students will receive a Certificate of Achievement for successfully completing the course.

Description: The online equivalent to Berkeley’s Statistics II, this course focuses on probability (i.e. the likelihood of a result occurring). Over time, it will apply these concepts to larger and more random samples, where probabilities can grow increasingly imprecise, if not ambiguous. The course will emphasize “the reasoning behind the calculations, the assumptions under which they are valid, and the correct interpretation of results.”

Review: No reviews

Additional Note: Before enrolling, students should have taken an Introductory Statistics course and carry a working knowledge of histograms, averages, and the normal curve.

Students can take self-paced introductory statistics courses via Udacity, which offers Statistics: The Science of Decisions and Introduction to Statistics: Making Decisions Based on Data.

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