• Anytime
    Application Deadline
  • 56 days
    Duration
EdX is an online learning platform trusted by over 12 million users offering the Business Analytics for Data-Driven Decision Making Program in collaboration with Boston University – Bux. Learn how to lead your firm to make better business decisions using analytic methods and create competitive advantages from data.

About

Virtually all managerial and leadership positions in the digital economy increasingly rely on data-driven decision making. Recent studies have shown companies who adopt Data-Driven Decision Management achieve significant productivity gains over other firms.

Having a solid grasp of the end-to-end process of making effective decisions with data will give you an edge, both in performing such analyses yourself, as well as in effectively managing teams of business analysts and data scientists.

In this Business Analytics for Data-Driven Decision Making course, part of both the Digital Leadership and Digital Product Management MicroMasters programs from Boston University - BUx, you will learn the tools and techniques to become a data-driven or evidence-based manager.

You will learn the process of reframing a business question as a data question, reasoning about what data might be of assistance and how to obtain it, integrating and cleaning the data, performing the analysis, deriving and communicating insights from the analysis, and building the managerial culture to operate in this way and create competitive advantages from enterprise data.

This course is unique in the sense that it aims squarely at the needs of a manager in an analytically focused enterprise by providing both a hands-on introduction to the concepts, methods and processes of business analytics as well as an introduction to the use of analytics as the basis for creating a competitive advantage.

The Business Analytics for Data-Driven Decision Making programme is part of both Digital Leadership MicroMasters Programme and Digital Product Management MicroMasters Programme.

Detailed Programme Facts

  • Deadline and start date A student can apply at any time for this programme, there is no deadline.
  • Programme intensity Part-time
    • Average part-time duration 56 days
    • Part-time variant
      Flexible
    • Duration description
      8 weeks; 3 to 6 hours per week
  • Languages
    • English
  • Delivery mode
    Online
  • More information Go to the programme website

Programme Structure

What you'll learn:
  • Key analytic technologies and techniques, e.g. predictive modeling and clustering, and how these can play a role in managerial decision making
  • How to effectively manage the analytical processes and use the results of these processes as the basis for making informed, evidence-based decisions
  • How companies can use analytics as the basis for creating value

English Language Requirements

This programme may require students to demonstrate proficiency in English.

Academic Requirements

Elementary college course in statistics.

Tuition Fee

  • International Applies to you

    200 USD/full
    Tuition Fee
    Based on the original amount of 200 USD for the full programme and a duration of 56 days.
  • National Applies to you

    200 USD/full
    Tuition Fee
    Based on the original amount of 200 USD for the full programme and a duration of 56 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
5% discount coupon: Z7LZNQ4TN3B2JTWU valid for any free course + certificate upgrade

Funding

Check the programme website for information about funding options.

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Together with the ISIC Association and British Council IELTS, Studyportals offers you the chance to receive up to £10000 to expand your horizon and study abroad. We want to ultimately encourage you to study abroad in order to experience and explore new countries, cultures and languages.