Online Essentials Courses
The Kellogg School is pleased to offer a series of online tutorials for skill enhancement and review. Kellogg faculty designed these courses to enable incoming students to get up to speed on certain fundamentals that are important in their coursework, regardless of the student’s academic and work experience prior to Kellogg.
The Online Tutorials are designed to help you build or refresh your skills. For each course, you should briefly review the material to assess your readiness. If you are unfamiliar with the key concepts or if you are not entirely comfortable with the material, you should work through the content of the course. This preparation will significantly ease your transition into the Kellogg core curriculum.
*required for students prior to taking DECS 430
Business Analytics Prep is a new required
course if you are taking DECS 430, that serves as preparation for the Business Analytics sequence. It covers descriptive data analysis, sampling, probability theory, independence and conditional probability, random variables and statistical inference. The course includes interactive exercises that let students check their progress.Students are required to work through the course in its entirety – including the ‘checkpoint’ questions that follow each chapter – prior to taking DECS 430. Completion of this online course will be considered in your overall grade of the DECS 430 course.
Students' progress will be monitored. Access will be provided throughout the duration of the program.
See Business Analytics Prep page for details »
Online Statistics Essentials provides an introduction to some statistical methods and concepts that are particularly useful for management. The course is designed both for those who have had no prior exposure to statistics and for those who may have studied statistics before but need a refresher. Even those who know some statistics should find the managerial applications and setting informative.
In the context of problems faced by Café Caliente, a worldwide coffee chain, the course addresses five major topic areas: (1) distributions and describing a variable; (2) estimating with data; (3) hypothesis testing; (4) two population testing; and (5) regression analysis. The course helps prepare students for Kellogg core courses in decision sciences as well as for the use of statistics in areas such as finance and marketing.
Estimated time to complete the primary instructional path is 6 to 8 hours.
Enter Online Statistics Essentials