We may earn an affiliate commission when you visit our partners.
Raghu Iyengar, Rajkumar Venkatesan, Omar Besbes, Adam Elmachtoub, Hardeep Johar, Kamel Jedidi, Asim Ansari, Vineet Goyal, Daniel Guetta, and Costis Maglaras

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.

Read more

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.

These courses are instructional-led and each course has 10-12 weeks of lecture plus an additional final exam week. If you are interested in completing the full MicroMasters program on edX, there is no time limit in which you must complete all the courses in the program. Currently, the courses are offered twice a year, in the spring and fall term.

For those who are interested in applying for an M.S. degree at Columbia University, you must complete this MicroMasters program within 2 years of the start date of the first course in order to include MicroMasters certificate in your application package. For example, if you aim to apply for 2021 Fall M.S. program, you have to earn the MicroMasters Program certificate by 2021 February admission deadline.

What you'll 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

Share

Help others find this collection page by sharing it with your friends and followers:

What's inside

One course

Marketing Analytics

(0 hours)
Organizations are inundated with data about consumer choices. But that wealth of information does not always translate into better decisions. Knowing how to interpret data is the challenge -- and marketers in particular are increasingly expected to use analytics to inform and justify their decisions.

Save this collection

Save Business Analytics to your list so you can find it easily later:
Save
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser