DescriptionProgram StructureEligibilityFacultyContact

The Analytics for Data Science certificate program focuses on those courses relevant for the study of topics in data analytics (data mining, predictive modeling, forecasting and more).  Most courses are 4 weeks long, do not require you to be online at specific times during the week, and offer continuing education credits.  The workload for the entire program is the equivalent of 16 credits in the U.S. academic system.

Course Program:

  • Choose and fit time-series forecasting models
  • Construct predictive models using a variety of statistical and machine learning algorithms, and assess their performance
  • Identify customer segments and generate purchase recommendations
  • Use interactive graphical techniques to visualize and analyze data
  • Solve constrained optimization problems using linear programming and other techniques
  • Describe, visualize and analyze social network data
  • Conduct Monte Carlo simulation to account for risk
  • Specify and solve queuing problems
  • Analyze location and other spatial data (elective)
  • Apply the key concepts in natural language processing (elective)


Eleven 4-week courses


Actual fees may differ from the estimate below. Fees are subject to change without prior notice.

Application Fee: INR 4500 (assuming $ = INR 60)
Program Registration Fee: INR 41700 (assuming $ = INR 60)
Estimated Required Course Tuition: INR 2,40,120 (assuming $ = INR 60)
Estimated Electives Course Tuition: INR 97,380 (assuming $ = INR 60)
Estimated Material Cost: INR 46,200 (assuming $ = INR 60)
Estimated Total Cost: INR 4,29,900 (assuming $ = INR 60)

  • You are a business or data analyst needing to add data mining to your skill set to interface with vendors or programmers
  • You are a manager reponsible for analytics teams or vendors
  • You are a data scientist, software engineer, or IT professional seeking a deeper dive into analytics (but see our “Programming for Data Science” certificate if you need to learn the programming tools for this)


  • A Bachelor’s degree from an accredited college or university.
  • The successful recent completion of an introductory statistics course equivalent to’s Statistics 1 and Statistics 2,* (please provide proof in your PASS application).
  • Dr. Vittorio Addona
  • Mr. Anthony Babinec
  • Mrs. Meena Badade
  • Dr. Ben Baumer
  • Mr. Benjamin Bengfort
  • Ms. Patricia Berglund
  • Dr. Anurag Bhardwaj
  • Mr. Dave Bock
  • Dr. William M. Bolstad
  • Dr. Michael Borenstein
  • Mr. Peter Bruce
  • Prof. Chris Brunsdon
  • Prof. Din Chen
  • Dr. Shein-Chung Chow
  • Dr. Peter Congdon
  • Mr. Kuber Deokar
  • Dr. Paul Eilers
  • Dr. John Elder
  • Dr. Michelle Everson
  • Dr. William P. Fisher, Jr.
  • Dr. Andrzej Galecki
  • Mr. Tal Galili
  • Dr. Jennifer Golbeck
  • Dr. Huybert Groenendaal
  • Dr. James Hardin
  • Dr. Robert Hayden
  • Dr. Jay Herson
  • Dr Joseph Hilbe
  • Dr. Abhaya Indrayan
  • Dr. Nitin Indurkhya
  • Dr. Daniel T. Kaplan
  • Ms. Jenny Kim
  • Dr. David G. Kleinbaum
  • Prof. Madhav Kulkarni
  • Dr. Robert LaBudde
  • Dr. Olivia Lau
  • Mr. Allen Leis
  • Dr. John Michael Linacre
  • Dr. Thomas Lumley
  • Dr. Bryan Manly
  • Dr. Brian Marx
  • Mr. David Masad
  • Mr. Joris Meys
  • Dr. Geert Molenberghs
  • Dr. Robert Munro
  • Dr. Paul Murrell
  • Mr. Greg Nolder
  • Dr. Iain Pardoe
  • Prof. Karl Peace
  • Dr. Vidyadhar Phadke
  • Dr. Catherine Plaisant
  • Dr. Randall Pruim
  • Dr. Sudha Purohit
  • Dr. Cliff Ragsdale
  • Dr. Nand Kishore Rawat
  • Dr. Eli Rosenberg
  • Dr. Hannah Rothstein
  • Dr. Jim Rutledge
  • Dr. Thomas P. Ryan
  • Dr. Karen Schmidt
  • Dr. Randall E. Schumacker
  • Dr. Shilad Sen
  • Dr. Galit Shmueli
  • Dr. Everett V. Smith, Jr
  • Dr. Peter Sprent
  • Mr. Ken Strasma
  • Prof. Matthew Strickland
  • Dr. Luis Torgo
  • Prof. David Unwin
  • Dr. John Verzani
  • Dr. Brady T. West
  • Mr. K. Matthew Windham
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