Fundamentals of Business Analytics


  • Data analytics is an emerging interdisciplinary area of machine learning, data mining, predictive analytics, text mining, forecasting and optimization, and statistics.

Interpreting and presenting the results of data analysis is a highly regarded skill in today’s world. It provides insights into how to improve the performance of any organization.

This course provides the fundamental concepts and methods needed to understand the emerging role of business analytics in organizations. Learn how to apply basic business analytics methods, and how to communicate with analytics professionals to effectively use and interpret analytic models and results for making better business decisions. Fundamentals of descriptive analytics, predictive analytics, and prescriptive analytics are covered.


  • How to visualize, organize, and present data
  • Hands-on experience with statistical analysis to predict the outcome and to make recommendations
  • How to optimize a variable with linear objective function and constraints
  • How to use Excel® Solver for optimization and Minitab® 17 for statistical testing

Learning Outcomes
Successful students will be able to:

  • Present data to senior management in clear and concise reports and illustrations
  • Design and analyze statistical experiments
  • Construct main effects plots, interaction plots, and surface plots
  • Use regression to predict the outcome of a response variable
  • Build a quantitative model to specify objective function and constraints
  • Use Excel Solver for optimization
  • Identify root causes of problems using data analysis
  • Produce and interpret statistical results using Minitab® 17

When you successfully complete this course, you’ll receive 18 educational contact hours (1.8 Continuing Education Units, or CEUs). This is a non-credit course. This course is graded on a pass/fail basis; no letter grades are awarded. Successful completion depends on your participation in class exercises and completion of homework assignments.

Required Materials

  • A PC; alternatively, a Mac® with Boot Camp® installed (Boot Camp lets you install Windows® on a Mac)
  • Microsoft® Excel®
  • You can rent Minitab® 17, which runs on Windows. For a free 30-day trial of the software, go to, click "Minitab 17", then click "Get It" for Minitab 17 (Multilanguage 30-day trial). For a 6-month rental, go to after you receive your UMass Boston email address upon registration for the course.


Kishore Pochampally is a Professor of Quantitative Studies, Operations and Project Management at Southern New Hampshire University (SNHU). His prior academic experience is as a Post-doctoral Fellow at the Massachusetts Institute of Technology (M.I.T.). He holds an M.S. and PhD in Industrial Engineering from Northeastern University and a B.E. in Mechanical Engineering from the National Institute of Technology in India.

Kishore teaches lean six sigma, business statistics/analytics, project management, and operations management. He has been nominated twice (finalist) for the teaching excellence award at SNHU.

Kishore is a Six Sigma Black Belt (ASQ), Project Management Professional (PMP®), and Certified Analytics Professional (CAP®). He conducts corporate workshops on lean six sigma and project management, and trains professionals for the PMP® exam and six sigma green/black belt exams.

Schedule & Fee

May 27 - July 1
Saturdays, 9am-12pm

Fee: $260


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Also available by email, in-person, by fax, or by mail.

Download Non-credit Registration Form

By Email
Email completed registration to:

One Stop Student Service Ctr
Campus Center, Upper Level
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By Fax
Fax completed registration to: 617.287.6242

By Mail
Mail completed registration to:
UMass Boston
Registrar’s Office-cc-4
Box C or Box NC
100 Morrissey Blvd.
Boston, MA 02125-3393

Book Information

There is no required textbook for this course.