Business Analytics: Decision Making with Data

Tell a persuasive story with data

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Course Dates

STARTS ON

October 5, 2022

Course Duration

DURATION

9 weeks, online
4-6 hours per week

Course Fee

Business Analytics: Decision Making with Data

How do you put data to practical use in your organization?

By getting involved in every step of the analytics process.

Big data and analytics are more than technology and data science problems to be relegated to the specialists. In fact, the hardest part of engaging analytics is not the data science or the technology. Through this program, gain a working knowledge of analytics that is grounded in practical application and equipped with business-focused insight.

This program equips you with:

  • The tools required to put analytics to practical use and solve specific business problems
  • The language and intuition to work effectively with data scientists
  • The necessary insights for leveraging analytics to accelerate growth and increase efficiency and productivity

Key Takeaways

In this nine-week program you will:

  • Identify where in your organization analytics adds value
  • Build the confidence required to operate in a data-driven environment
  • Develop the ability and intuition to judge "good analytics" from "bad analytics"
  • Understand the importance of experimentation platforms to drive business growth
  • Learn how to tell a persuasive story with data visualization tools
  • Build a working knowledge of data science

Program Experience

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Live Faculty Webinars

Decorative image relating to Industry Examples

Industry Examples

Decorative image relating to Real-World Application Exercises

Real-World Application Exercises

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Global Network of Collaborators

Decorative image relating to Dedicated Program Support Team

Dedicated Program Support Team

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Live Office Hours

Decorative image relating to Peer Learning and Feedback

Peer Learning and Feedback

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Mobile Learning App

Program Modules

Over the course of nine weekly modules, you will gain a working knowledge of data science and will be able to apply analytics within your organization to drive more successful business outcomes.

Orientation Week:

Introduction and Overview of the Learning Platform and Program Calendar

Orientation week is the official start to the program. During this week, you are introduced to the learning platform, receive an overview of the program calendar, and have the opportunity to introduce yourself to your peers via the discussion forums.

Module 1:

Leading with Analytics

Learn why analytics is every manager’s problem. As analytics is a necessary part of business strategy, you will use the Kellogg Analytics Framework–a process for developing analytics-driven business initiatives–to help you achieve your business goals.

Module 2:

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.

Module 3:

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.

Module 4:

Causal Analytics

Analyze the importance of experimentation platforms in driving growth and in analytics.

Module 5:

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.

Module 6:

Predictive Analytics

Gain an understanding of predictive analytics, how profitable it can be, and how it can enable business initiatives.

Module 7:

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.

Module 8:

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.

Orientation Week:

Introduction and Overview of the Learning Platform and Program Calendar

Orientation week is the official start to the program. During this week, you are introduced to the learning platform, receive an overview of the program calendar, and have the opportunity to introduce yourself to your peers via the discussion forums.

Module 5:

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.

Module 1:

Leading with Analytics

Learn why analytics is every manager’s problem. As analytics is a necessary part of business strategy, you will use the Kellogg Analytics Framework–a process for developing analytics-driven business initiatives–to help you achieve your business goals.

Module 6:

Predictive Analytics

Gain an understanding of predictive analytics, how profitable it can be, and how it can enable business initiatives.

Module 2:

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.

Module 7:

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.

Module 3:

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.

Module 8:

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.

Module 4:

Causal Analytics

Analyze the importance of experimentation platforms in driving growth and in analytics.

Download Brochure

Industry Examples

Industry examples that allow you to dive deeper into the applications of business analytics. Some of the brands featured are:

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Certificate

Example image of certificate that will be awarded after successful completion of this program

Certificate

Upon successful completion of the program, Kellogg Executive Education grants a verified digital certificate of completion to participants.

Download Brochure

After successful completion of the program, your verified digital certificate will be emailed to you in the name you used when registering for the program. All certificate images are for illustrative purposes only and may be subject to change at the discretion of Kellogg Executive Education. 

Note: This online certificate program does not grant academic credit or a degree from Kellogg School of Management. 

Program Faculty

Profile picture of course faculty Eric Anderson

Eric Anderson

Kellogg School of Management, Marketing Hartmarx Professor of Marketing, Director of the Center for Global Marketing Practice

Professor Anderson holds a Ph.D. in Management Science from MIT Sloan School of Management. His research interests include analytics, retailing, pricing strategy, innovation, new products, and channel management.  His recent research has been conducted with various companies around the world... More info

Profile picture of course faculty Florian Zettelmeyer

Florian Zettelmeyer

Kellogg School of Management, Nancy L. Ertle Professor of Marketing, Faculty Director, Program on Data Analytics at Kellogg, and Chair of Marketing Department

Florian Zettelmeyer is the Nancy L. Ertle Professor of Marketing at the Kellogg School of Management at Northwestern University. He also founded and directs the Program on Data Analytics at Kellogg, the school's Big Data and Analytics initiative... More info

Profile picture of course faculty Steven Franconeri

Steven Franconeri

Professor of Psychology, Weinberg College of Arts & Sciences, Professor of Design, McCormick School of Engineering (Courtesy), Director, Northwestern Cognitive Science Program, Professor of Marketing (Courtesy)

Steven Franconeri is a leading scientist, teacher, and speaker on visual thinking, visual communication, and the psychology of data visualization. He is a Professor of Psychology in the Weinberg College of Arts & Sciences at Northwestern, Director of the Northwestern Cognitive Science Program... More info

Profile picture of course faculty Kristian Hammond

Kristian Hammond

McCormick School of Engineering, Professor of Computer Science, Bill and Cathy Osborn Professor

Kristian Hammond is currently the Chief Scientist at Narrative Science, a company focused on automated narrative generation from data. He is also a professor of Computer Science and Journalism at Northwestern University and a researcher in the areas of human-machine interaction, context-driven information systems, and artificial intelligence... More info

FAQs

  • How do I know if this program is right for me?

    After reviewing the information on the program landing page, we recommend you submit the short form above to gain access to the program brochure, which includes more in-depth information. If you still have questions on whether this program is a good fit for you, please email learner.success@emeritus.org, and a dedicated program advisor will follow-up with you very shortly.


    Are there any prerequisites for this program?

    Some programs do have prerequisites, particularly the more technical ones. This information will be noted on the program landing page, as well as in the program brochure. If you are uncertain about program prerequisites and your capabilities, please email us at learner.success@emeritus.org for assistance.


    Note that, unless otherwise stated on the program web page, all programs are taught in English and proficiency in English is required.


    What is the typical class profile?

    More than 50 percent of our participants are from outside the United States. Class profiles vary from one cohort to the next, but, generally, our online certificates draw a highly diverse audience in terms of professional experience, industry, and geography — leading to a very rich peer learning and networking experience.


    What other dates will this program be offered in the future?

    Check back to this program web page or email us at learner.success@emeritus.org to inquire if future program dates or the timeline for future offerings have been confirmed yet.

  • How much time is required each week?

    Each program includes an estimated learner effort per week. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page.



    How will my time be spent?

    We have designed this program to fit into your current working life as efficiently as possible. Time will be spent among a variety of activities including:



    • Engaging with recorded video lectures from faculty
    • Attending webinars and office hours, as per the specific program schedule
    • Reading or engaging with examples of core topics
    • Completing knowledge checks/quizzes and required activities
    • Engaging in moderated discussion groups with your peers
    • Completing your final project, if required

    The program is designed to be highly interactive while also allowing time for self-reflection and to demonstrate an understanding of the core topics through various active learning exercises. Please contact us at learner.success@emeritus.org if you need further clarification on program activities.



    What is it like to learn online with the learning collaborator, Emeritus?

    More than 250,000 professionals globally, across 80 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded.

    A dedicated program support team is available 24/5 (Monday to Friday) to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.


    How do I interact with other program participants?

    Peer learning adds substantially to the overall learning experience and is an important part of the program. You can connect and communicate with other participants through our learning platform.

  • What are the requirements to earn the certificate?

    Each program includes an estimated learner effort per week, so you can gauge what will be required before you enroll. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page. All programs are designed to fit into your working life.

    This program is scored as a pass or no-pass ; participants must complete the required activities to pass and obtain the certificate of completion. Some programs include a final project submission or other assignments to obtain passing status. This information will be noted in the program brochure. Please contact us at learner.success@emeritus.org if you need further clarification on any specific program requirements.


    What type of certificate will I receive?

    Upon successful completion of the program, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools, or potential employers. You can use it on your cover letter, resume, and/or display it on your LinkedIn profile. The digital certificate will be sent approximately two weeks after the program, once grading is complete.


    Can I get the hard copy of the certificate?

    No, only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social platforms such as LinkedIn, Facebook, and Twitter.


    Do I receive alumni status after completing this program?

    No, there is no alumni status granted for this program. In some cases, there are credits that count toward a higher level of certification. This information will be clearly noted in the program brochure.


    How long will I have access to the learning materials?

    You will have access to the online learning platform and all the videos and program materials for 12 months following the program start date. Access to the learning platform is restricted to registered participants per the terms of agreement.

  • What equipment or technical requirements are there for this program?

    Participants will need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts.


    Do I need to be online to access the program content?

    Yes, the learning platform is accessed via the internet, and video content is not available for download. However, you can download files of video transcripts, assignment templates, readings, etc. For maximum flexibility, you can access program content from a desktop, laptop, tablet, or mobile device.

    Video lectures must be streamed via the internet, and any livestream webinars and office hours will require an internet connection. However, these sessions are always recorded, so you may view them later.

  • Can I still register if the registration deadline has passed?

    Yes, you can register up until seven days past the published start date of the program without missing any of the core program material or learnings.


    What is the program fee, and what forms of payment do you accept?

    The program fee is noted at the top of this program web page and usually referenced in the program brochure as well.

    • Flexible payment options are available (see details below as well as at the top of this program web page next to FEE).
    • Tuition assistance is available for participants who qualify. Please email learner.success@emeritus.org.

    What if I don’t have a credit card? Is there another method of payment accepted?

    Yes, you can do the bank remittance in the program currency via wire transfer or debit card. Please contact your program advisor, or email us at learner.success@emeritus.org for details.


    I was not able to use the discount code provided. Can you help?

    Yes! Please email us at learner.success@emeritus.org with the details of the program you are interested in, and we will assist you.


    How can I obtain an invoice for payment?

    Please email learner.success@emeritus.org with your invoicing requirements and the specific program you’re interested in enroling in.


    Is there an option to make flexible payments for this program?

    Yes, the flexible payment option allows a participant to pay the program fee in installments. This option is made available on the payment page and should be selected before submitting the payment.


    How can I obtain a W9 form?

    Please email us at learner.success@emeritus.org for assistance.

  • What is the policy on refunds and withdrawals?

    You may request a full refund within seven days of your payment or 14 days after the published start date of the program, whichever comes later. If your enrollment had previously been deferred, you will not be entitled to a refund. Partial (or pro-rated) refunds are not offered. All withdrawal and refund requests should be sent to admissions@emeritus.org.



    What is the policy on deferrals?

    After the published start date of the program, you have until the midpoint of the program to request to defer to a future cohort of the same program. A deferral request must be submitted along with a specified reason and explanation. Cohort changes may be made only once per enrollment and are subject to availability of other cohorts scheduled at our discretion. This will not be applicable for deferrals within the refund period, and the limit of one deferral per enrollment remains. All deferral requests should be sent to admissions@emeritus.org.

Financing Options

Climb Credit*

We offer financing options with our partner, Climb Credit*. Click here to learn more.
*Applicable for US Residents

Flexible Payment Options For All

Flexible payment options allow you to pay the program fee in installments. Click here to see payment schedule.

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Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available. Learn more.