739

Please select the start dates for your courses below.

1
Analytics in Python

Scheduled Start

2
Data, Models and Decisions in Business Analytics

Scheduled Start

3
Marketing Analytics

Scheduled Start

4
Demand and Supply Analytics

Scheduled Start

Program overview

Columbia’s MicroMasters program in Business Analytics will empower learners with the skills, insights and understanding to improve business performance using data, statistical and quantitative analysis, and explanatory and predictive modelling to help make actionable decisions.

The curriculum is designed to provide learners with a series of courses that emphasizes the use of statistical analysis, computing tools, and mathematical models to predict the outcomes of various business decisions, and identify the best implementation.

What you will learn

  • Apply methods, tools, and software for acquiring, managing/storing, and accessing structured and unstructured data
  • Prepare data for statistical analysis, perform basic exploratory and descriptive analysis, and apply statistical techniques to analyze data
  • Apply descriptive, predictive and prescriptive analytics to business modeling and decision-making
  • Demonstrate orally, and in writing, the ability to explain complex analytical models and results

Program Class List

1
Analytics in Python

Course Details
Learn the fundamental of programming in Python and develop the ability to analyze data and make data-driven decisions.

2
Data, Models and Decisions in Business Analytics

Course Details
Learn fundamental tools and techniques for using data towards making business decisions in the face of uncertainty.

3
Marketing Analytics

Course Details
Develop quantitative models that leverage business data to forecast sales and support important marketing decisions.

4
Demand and Supply Analytics

Course Details
Learn how to use data to develop insights and predictive capabilities to make better business decisions.

Meet Your Instructors

Daniel Guetta

Director of the Business Analytics Initiative at Columbia University
Daniel Guetta's research revolves around supply chain management - specifically, looking at models better able to model situations encountered in industry, and designing algorithms that can be applied in the field. Other research interests include machine learning and convex optimization.

Vineet Goyal

Associate Professor, Industrial Engineering and Operations Research at Columbia University
Vineet Goyal is an Associate Professor in the Industrial Engineering and Operations Research department at Columbia. He received his PhD in Algorithms, Combinatorics and Optimization (ACO) in 2008 from Tepper School of Business, CMU. Before joining Columbia, he spent a couple of years as a postdoctoral associate at the Operations Research CenterMIT working with Dimitris Bertsimas.

Asim Ansari

William T. Dillard Professor of Marketing at Columbia University
Asim Ansari is the William T. Dillard Professor of Marketing at Columbia University. He received his PhD in marketing from New York University. His current research focuses on the Bayesian modeling for customer relationship management, personalization and customization of products and marketing actions and preference measurement. His research has appeared in several leading marketing journals. He is on the Editorial board of Marketing Science, and the Journal of Marketing Research. He has received the Paul Green award from the American Marketing Association for his work on e-customization. In addition, his has been a finalist for the William O’ Dell award, the John Little Best Paper Award, Frank M. Bass Outstanding Dissertation Award and the INFORMS Society for Marketing Science Long Term Impact Award.

Hardeep Johar

Lecturer in Discipline at Columbia University
Hardeep has a Ph.D. in Information Systems from the Stern School of Business, New York University, is a Fellow of the Indian Institute of Management Calcutta, and has an M.A. in Economics from the Birla Institute of Technology and Science in Pilani, India. Hardeep has had extensive experience in industry. He has worked for many years as a quantitative proprietary trader at Deutsche Bank, Credit Suisse, and Morgan Stanley in New York. He was been on the management team of a startup (Peak Strategy) and an advisory board member of another (mSpoke, Inc.). Prior to joining Columbia, Hardeep has been teaching as an Adjunct Professor at the business schools at NYU, Columbia, and Fordham Universities.

Kamel Jedidi

John Howard Professor of Business and Chair of the Marketing Division at Columbia University
Kamel Jedidi is the John Howard Professor of Business and the Chair of the Marketing Division at Columbia Business School, New York. He holds a bachelor’s degree in Economics from University of Tunis and Master and Ph.D. degrees in Marketing and Statistics from the Wharton School, University of Pennsylvania. Dr. Jedidi has extensively published in leading marketing and statistical journals. His research interests include pricing, product positioning, and market segmentation. He was awarded the 1998 IJRM Best Article Award and the Marketing Science Institute 2000 Best Paper Award. He was also finalist for 2009 Paul Green Award for the Journal of Marketing Research _and for the 2009 Long-term Impact Paper Award for _Marketing/Management Science. _Dr. Jedidi is senior Editor for the _Consumer Needs and Solutions _Journal and serves on the editorial board for the _Journal of Business-to-Business Marketing. Dr. Jedidi has conducted seminars at several business conferences and universities and also spoken at and consulted with several multinational companies. He is a Founding Trustee of the Marketing Accountability Standards Board (MASB), a member of the Faculty Steering Committee, Columbia Global Centers (Amman), a Senior Editor for Rutgers Business Review, and a member of the Academic Council of ENPC’s School of International Management.
Costis Maglaras headshot

Costis Maglaras

David and Lyn Silfen Professor of Business 
Costis Maglaras is the David and Lyn Silfen Professor of Business at Columbia University, and currently serves as the chair of the Decision, Risk & Operations division of the school. His research lies on the interface of stochastic modeling with operations management, with emphasis on stochastic networks, financial engineering, and quantitative pricing and revenue management.

In today’s changing business landscape, the role of the business analyst is changing from one focused on gathering requirements to one helping align and drive organizational strategy. Bloomberg is always looking for analysts with a deep understanding of statistics, data management, and data modeling. Learning those skills through a program like the edX MicroMasters courses in Business Analytics will help prepare professionals for today’s marketplace.

Shawn Edwards , Chief Technology Officer, Bloomberg L.P.

In today’s changing business landscape, the role of the business analyst is changing from one focused on gathering requirements to one helping align and drive organizational strategy. Bloomberg is always looking for analysts with a deep understanding of statistics, data management, and data modeling. Learning those skills through a program like the edX MicroMasters courses in Business Analytics will help prepare professionals for today’s marketplace.

Shawn Edwards , Chief Technology Officer, Bloomberg L.P.
739

Duration

1 year

Learning Partner

Columbia University

Program

Business Analytics

Program Type

MicroMasters®
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