Business Analytics

Business Analytics for Managers: Fundamentals of data analytics

Analytics has become more important over the past few years as a source of competitive advantage for businesses as well as a tool for improved effectiveness and efficiency. Organizations around the world are looking at ways to leverage data to create value. This is being done using quantitative analysis and topics such operations research, statistical modeling, predictive analytics, text mining and associated IT tools.

This Kelley School of Business Executive Education Digital Badge Program is designed to provide an introduction to business analytics for line-of-business users who are not computer scientists or statisticians but have some familiarity with basic statistics and the use of spreadsheets to analyze data. Upon completion of the program, students will receive one digital badge to share on their resume, LinkedIn profile, and other sites.

Learning outcomes

After successfully completing this digital badge program, participants will:

Define and explain the business analytics process (problem definition; data preparation; technical analysis and modeling; evaluation of results; implementation and deployment).
Understand and describe the functionality and role of analytic techniques in data mining and predictive analytics.
Perform data exploration to evaluate variables for data mining and to suggest and implement approaches to handle data problems such as missing values, outliers, and skewed distributions.
Construct, validate, and interpret data mining and predictive analytics models with multivariate data sets using various software tools.
Compute and interpret key predictive accuracy measures and methods including lift charts, gain charts, and ROC curves.
Understand and utilize supervised models such as multiple regression, logistic regression, classification trees, and neutral networks.
Understand and utilize unsupervised models including principal components analysis and cluster analysis.
Apply data mining and predictive analytic techniques to problems in areas such as fund raising, retailing, direct marketing, market segmentation, bankruptcy prediction, credit scoring, and fraud detection.

Program overview

This program will consist of 10 webinars over an 11-week period, and will include both practical exercises and quizzes. After successful completion of the requirements listed below, students will be eligible to receive a digital badge signifying participation and achievement. Students will also have the option to take an Assurance of Learning exam after successful completion of the program, for an additional cost. If passed, you will earn 3 credit hours that may be applied to our Business Analytics Certificate, one of several 12-credit hour certificate programs offered by Executive Degree Programs (EDP). In turn, the certificate can be applied to a Kelley Executive Degree Program online MS or MBA program.

Outline of topics

Introduction and building the first predictive model
Data preparation for analytics
Descriptive analytics
Overview of analytics software
Multiple regression
Logistic regression
Evaluating predictive model performance
Neural networks and K-nearest neighbors
Classification and regression trees
Unsupervised models: cluster analytics and principal component analysis

Expectations

Participants are expected to participate live in weekly 90-minute webinars, along with completing the associated quiz following each session. To earn the Business Analytics for Managers: Fundamentals of Data Analytics digital badge, participants must complete at least eight of the 10 quizzes with a score of at least 80%. A maximum of two attempts per quiz will be allowed.

To earn IU academic credit for completing the series, a student must achieve an average score of at least 80% on eight of the 10 quizzes, complete four homework assignments, and pass the final exam. A $1,800 fee is required to take the Assurance of Learning final exam.

Format

For more information about the next digital badge program, please contact Kai Westerfield, Program Manager, at kmwester@iu.edu.

Registration fee is $1,200 per person.

While our digital badge program is noncredit based, you will have the option to take an Assurance of Learning exam after successful completion of the program. The cost to take the exam is $1,800. If passed, you will earn 3 credit hours that can be applied to the Business Analytics Certificate, one of several 12-credit hour certificate programs offered by th Executive Degree Programs (EDP). In turn, the certificate can be applied to a Kelley Executive Degree Program online MS or MBA program.

Discounts are available for Kelley School of Business alumni and nonprofit organizations. For discount eligibility inquiries or if you would like to be invoiced, please contact Kai Westefield, Program Manager, at kmwester@iu.edu or 812-856-2078.

After you register online, you’ll receive an email confirming that we successfully received your information.

In the weeks leading up to your course, you may receive additional information about the class along with any course materials you might need.

To cancel, please contact us seven days before the course begins or we will be unable to refund your course fees.

Substitutions may be made any time before the start of the program

Upon the successful completion of this program, you will receive the Business Analytics for Managers: Fundamentals of Data Analytics digital badge to add to your resume, LinkedIn profile, and other sites. While our digital badge program is noncredit based, you will have the option to take an Assurance of Learning exam after successful completion of the program. The cost to take the exam is $1,800. If passed, you will earn 3 credit hours that can be applied to the Business Analytics Certificate, one of several 12-credit hour certificate programs offered by the Executive Degree Programs (EDP). In turn, the certificate can be applied to a Kelley Executive Degree Program online MS or MBA program.

We’re happy to answer your questions.

For more information about this digital badge program, please contact Kai Westerfield, Program Manger, at kmwester@iu.edu.

Business Analytics