Big data and analytics are more than technology and data science problems to be relegated to specialists. In fact, the hardest part of engaging analytics is not the data science or the technology. The major challenge is first identifying the right business problem to solve, and then determine if analytics can contribute to a solution. Direct leadership involvement in analytics is critical to reaching optimal business outcomes. This is largely possible when decision-makers get a working knowledge of data science that is grounded in practical application and equipped with leadership-focused insight.
This program delivers material in an accessible, easy-to-understand format that is immediately applicable to your organization. Whether this is your first introduction to analytics, or you have some experience in related fields, you can start here. The frameworks in this program will build your working knowledge of data science and improve your data literacy. Additionally, you will understand the intuition behind machine learning algorithms and what artificial intelligence (AI) can accomplish for your business.
This program equips you with:
Leading with Analytics
Learn why analytics is every leader’s problem. Use the Kellogg Analytics Framework — a process for developing analytics-driven business initiatives to help you achieve your business goals.
Exploratory Analytics with Visualization
What makes you a good consumer of analytics? In this module, you will explore how the human visual system works, how to see beyond simple patterns in data, and learn how to tell persuasive stories using visualization tools.
Distinguish Good from Bad Analytics
What questions should you ask to help distinguish good analytics from bad analytics? This module will help you make analytics-based decisions on real-causal relationships. You will learn to recognize analytics design flaws and identify errors in reasoning.
Analyze the importance of experimentation platforms in driving growth and in analytics
Causal Analytics in Action: The CPE Case
Apply the concepts of the program to a real-world problem. Consider the two objectives of the case and analyze the best ways to achieve the objectives.
Gain an understanding of predictive analytics, how profitable it can be, and how it can enable business initiatives.
Linking Analytics with Actions
Learn how good decisions are the result of careful planning, anticipating the complexity of real-world optimization problems, and integrating your domain expertise with analytics.
Machine Learning and Artificial Intelligence
Understand the logic behind machine learning models and learn how these systems automatically uncover complex data relationships and offer predictions.
Eric T Anderson - Academic Director; Polk Bros. Chair in Retailing; Professor of Marketing; Director Kellogg-McCormick MBAi
Florian Zettelmeyer - Academic Director; Nancy L. Ertle Professor of Marketing; Faculty Director, Program on Data Analytics at Kellogg
Steven Franconeri - Professor of Psychology, Weinberg College of Arts and Sciences; Director, Northwestern Cognitive Science Program; Professor of Leadership, Kellogg School of Management (Courtesy)
Kris Hammond - Bill and Cathy Osborn Professor of Computer Science, McCormick School of Engineering
What is the program about?
Business Analytics: Decision Making with Data is a program that provides learners with a working knowledge of data science. This program delivers material in an accessible, easy-to-understand format that is immediately applicable to your organization. Whether this is your first introduction to analytics, or you have some experience in related fields, you can start here. The frameworks in this program will build your working knowledge of data science and improve your data literacy. Additionally, you will understand the intuition behind machine learning algorithms and what artificial intelligence (AI) can accomplish for your business.
What is the learning experience?
Your learning experience offers accessible, easy-to-understand content via video lectures, live webinars, real world examples and case studies. You will participate in discussions, complete knowledge-checks and assignments and workbook activities.
What is the program format?
The program consists of 8 modules delivered over 9 weeks online. Learners can expect to dedicate 4-6 hours per week to watch videos, complete assignments and workbook activities and participate in discussions. Modules are opened at the beginning of each week and have quizzes at the module’s conclusion. Learners may choose to engage with the program module all in one sitting or in smaller segments of time throughout the week. While the modules do not close, access to assignments is closed each week.
Could a learner choose to opt out of some topics?
No. This is an online program in which a topic module is introduced each week and the learner is expected to watch the video lectures, participate in the live webinars, complete the exercises/activities and take the mastery quiz at the end of each week to progress to the subsequent week’s topic.
Are any of the sessions delivered in real time (live)?
There will be live webinars, led by faculty and/or subject matter experts, delivered during the course of the program via a video conferencing platform. These sessions provide learners an opportunity to listen and ask questions, and while they are valuable in enhancing the overall experience, attendance is not mandatory. All live sessions are recorded for later viewing.
What methods will be used for grading and evaluations?
Program tutors and success managers will review assignments, discussions and exercises to determine participants’ understanding of the material, as well as ensure a positive learning experience in the online learning platform.
How much time is allocated to complete assignments?
The due date for submitting assignments is typically within 7 days of the module opening, but can be as long as 14 days, depending on the scope of the assignment. However, learners may request deadline extensions to accommodate for business and personal conflicts that may arise during the program timeframe. Reach out to the program leader to discuss any challenges you may have in completing assignments.
Can participation in this program be counted as credit toward a degree, either at Kellogg, Northwestern University or another academic institution?
No. Executive Education offers only non-degree programs and each participant receives a certificate of completion at the end of the program. This certificate does not count as credit toward a degree. In addition, at this time, our online programs do not count as credit toward a Kellogg Executive Scholar Certificate.
Does the program offer community engagement for learners?
Yes, participants can create a profile, connect and collaborate with peers. In addition, in the live webinars, participants can interact with the head tutor and other content experts.
What are the requirements for accessing the program?
Participants will need the following to access the program:
Do the programs offer a certificate?
Yes. Participants will receive a digital certificate of completion from Kellogg following a successful conclusion to the program. Since this program is graded as a pass or fail, participants must receive 70% satisfactory feedback on submitted assignments and assessments in order to obtain the certificate. This digital certificate can be shared with colleagues and posted on LinkedIn. (PLEASE NOTE: We do not provide reports of assessments, or “transcripts,” since this is a non-degree program.)
Who is Emeritus and what is their relationship with Kellogg Executive Education?
Kellogg Executive Education is partnering with Emeritus Institute of Management, an online education provider, to develop and deliver this program. By working with Emeritus, we are able to provide broader access to Executive Education, beyond our on-campus offerings, in a collaborative and engaging format that is consistent with Kellogg’s standard of quality.
October 1 - December 3, 2022
Start: October 8 at 12:00 AM
End: December 3 at 12:00 AM
January 15 - March 19, 2023
Start: January 22 at 12:00 AM
End: March 19 at 12:00 AM