.
Predictive Analytics for Business Applications Digital Badge2021-06-30T11:40:53-04:00

Project Description

Fundamentals and advanced skills in 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. They are turning to quantitative analysis and strategies such operations research, statistical modeling, predictive analytics, text mining, and associated IT tools.

The Kelley School of Business Executive Education Digital Badge Program introduces students to a variety of analytics techniques and software tools. The online course begins with the basics of problem definition and data preparation, including ways to address missing values, outliers, and skewed distributions. Next, students will learn to identify appropriate analytical techniques based on data structure and problem definition. Techniques to be studied include linear regression, logistic regression, discriminant analysis, principle component analysis, cluster analysis, and neural networks. These will be covered via a combination of video content and live, interactive class time with a variety of software including Excel and R.

Using data analytics skills learned in the course, students will be able to address real-life problems such as:

  • Figure out what issues impact your customers’ buying decisions and which issues are just noise.
  • Be able to predict the likelihood of success for a new product based on collected market data.
  • Using a large data set from a recent survey to figure out if there is a way to group respondents to identify specific customer markets.
  • Identifying all the statistically significant predictors for employee turnover, and streamlining them into the three to four factors that can be used to create a strategy for retention without ignoring any of the other important variables.

Test-drive a graduate certificate or degree

When you receive your digital badge, you’ll have the option to take an Assurance of Learning exam to earn 3 credit hours that can be applied to the Business Analytics Graduate Certificate, which is one of several 12 credit hour graduate certificate programs offered by Executive Degree Programs. The certificate can be applied to the Executive Degree Programs online MS in Business Analytics or MBA program.

Predictive Analytics for Business Applications Digital Badge

Two Flexible Paths: This program will consist of 10 live synchronous sessions held weekly and will include both practical exercises and quizzes. Videos that introduce theories or concepts will be available to watch prior to class. Class time (live virtual sessions) will focus on working with real-world data sets and learning how to apply the theories/concepts that were introduced in the videos.

  • Digital Badge Requirements: Participants are expected to participate live in weekly webinars, along with completing the associated quiz following each session. To earn the Predictive Analytics for Business Applications 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. Upon completion of the program, students will receive one digital badge to share on their resume, LinkedIn profile, and other sites.
  • Digital Badge + Credits: 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 a final exam. If you pass the Assurance of Learning (AOL) exam after successful completion of the program, you will be eligible to have 3 graduate credit hours “waived” if a student applies and is accepted in the Business Analytics Graduate Certificate. This is a 12 credit certificate. A passing grade on the AOL exam will count as 3 credits towards the completion of the graduate certificate. Students who complete the Business Analytics Graduate Certificate can then transfer 12 credits to the Executive Degree Programs Online MBA. This stackable credential is ideal for students looking to ultimately complete a degree program within the Kelley School of Business, or for students whose tuition assistance programs require the courses to be credit-bearing for eligibility.

*Application to the graduate certificate is still required. For more information on transferring credits, please contact edp@indiana.edu.

Accreditations: Continuing Education Credits Eligible/.6 CEU’s per course/3.0 CEU’s per certificate

Estimated Time Commitment: 10 weeks, three to four hours per week

Refund/Cancelation Policy:  To cancel, please contact us seven days before the courses begins or we will be unable to refund your course fees. Substitutions may be made any time before the start of the program.

Tuition and fees:  Full digital badge program is $2,700.  Digital Badge and Graduate Credit waiver option is $3,000.

Includes instruction & materials, digital badge. Graduate credit options includes examination and 3 IU graduate credit waiver to be applied to the Business Analytics Graduate Certificate. Graduate credit option is eligible for company tuition reimbursement funding that requires credit bearing program.

  • 25% off for early registrants. Receive 25% off certificate and individual courses when you register and pay 30 days prior to class start. Use code EARLYBIRD at checkout.

  • 35% off for IU faculty, staff, and alumni

  • 50% off for Kelley School of Business alumni

  • Discounts are also available for Kelley School of Business staff and faculty. Contact Trudi at tkessle@iu.edu or complete the form for promotional codes.

Upcoming Dates:

Fall: September 7 through November 5, 2021

Register Now for Digital Badge Only
Register Now for Digital Badge + Credits

New benefits for Kelley alumni!

See Alumni Benefits

Learning Outcomes

At the conclusion of the course, students will be able to construct, validate, and interpret data mining and predictive analytics models using large data sets, and apply these techniques to marketing, finance, and operations problems. Students will complete weekly quizzes to demonstrate mastery of the subject matter and to qualify for the badge.

Upon completion of the program, students will receive a digital badge to share on their resume, LinkedIn profile, and other sites.

Predictive Analytics for Business Applications Digital Badge Overview

This program will consist of 10 webinars 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.

Outline of topics

  1. Introduction to Data and Predictive Analytics
  2. Introduction to R and R Studio
  3. Prepping Data for Analysis
  4. Data Visualization
  5. Linear Regression Models
  6. Logistic Regression Models
  7. PCA, Factor Analysis, and Cluster Analysis
  8. Neural Networks and K-nearest Neighbors

Expectations

Participants are expected to participate live in weekly webinars, along with completing the associated quiz following each session. To earn the Predictive Analytics for Business Applications digital badge, students must complete at least 8 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 8 of the 10 quizzes, complete four homework assignments, and pass the final exam. A $1,200 fee is required to take the Assurance of Learning final exam.

Have Questions?

View FAQs

Meet the Instructor

John D. Hill

Opportunity is waiting for you at Kelley.

Register Here for Digital Badge Only
Register Here for Digital Badge + Credits
See Other Programs

Contact Us

Questions about this program? Please complete the form or call us at 812-389-0933.

Send me information about online and in-residence certificates from the Kelley School of Business

X close