Business Analytics, Short Course | Part time online | Coursera | United States
2 months
Tuition fee
Apply date
Start date


Data-driven decision making potential unlocked. Learners will be able to obtain, manage, analyze and visualize data to gain a competitive advantage in the world of strategic business decision making with this Business Analytics course offered by Coursera in partnership with University of Illinois.

Visit the Visit programme website for more information


Our world has become increasingly digital, and business leaders need to make sense of the enormous amount of available data today. In order to make key strategic business decisions and leverage data as a competitive advantage, it is critical to understand how to draw key insights from this data. The Business Analytics course offered by Coursera in partnership with University of Illinois is targeted towards aspiring managers, senior managers, and business executives who wish to have a well-rounded knowledge of business analytics that integrates the areas of data science, analytics and business decision making.

The courses in this Specialization will focus on strategy, methods, tools, and applications that are widely used in business. Topics covered include:

  • Data strategy at firms 
  • Reliable ways to collect, analyze, and visualize data–and utilize data in organizational decision making 
  • Understanding data modeling and predictive analytics at a high-level
  • Learning basic methods of business analytics by working with data sets and tools such as Power BI, Alteryx, and RStudio
  • Learning to make informed business decisions via analytics across key functional areas in business such as finance, marketing, retail & supply chain management, and social media to enhance profitability and competitiveness. 

Applied Learning Project

A central premise of these courses is that applying targeted subject-matter expertise is crucial in order to frame the correct data problem, collect and analyze data, and to develop and operationalize performance metrics. Each subject area will be followed by an in-depth project-based application and analysis exercise.

Skills You Will Gain:

  • Data Analysis
  • Analytics
  • Machine Learning
  • Rstudio
  • power bi

Programme Structure

Courses include:

  • Introduction to Business Analytics with R
  • Introduction to Business Analytics: Communicating with Data
  • Tools for Exploratory Data Analysis in Business
  • Machine Learning Algorithms with R in Business Analytics
  • Applying Data Analytics in Marketing
  • Applying Data Analytics in Accounting

Key information


  • Part-time
    • 2 months
    • Flexible

Start dates & application deadlines

You can apply for and start this programme anytime.





Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Beginner level

  • No prior experience required

Tuition Fee

To always see correct tuition fees
  • International

    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 months.
  • National

    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.


Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

Other interesting programmes for you

Our partners

Business Analytics


Go to your profile page to get personalised recommendations!