Data Science for
Decision Making

09 Sept 2018, Sunday | 02:00 PM - 05:00 PM | MIT KOTHRUD CAMPUS, PUNE

Scaling statistical algorithms to data sets and understanding the underlying rationale behind the same is one of the most critical pieces in the Data Science puzzle. The core skill sets required for Data Analysis problem definition, selecting the right statistical model, making the right assumptions and inferring the correct conclusions are emphasized in this workshop. This workshop will provide the necessary foundation to start your Data Science career.

learning outcomes

  • #1 Use data to present, critique, and defend business decisions to key stakeholders
  • #2 Working knowledge of algorthims to apply on real data sets to infer and deduce insights.
  • #3 Confident, Cross functional communication with Data Scientists, Engineers,Business leaders.

Here's what in store

  • Learn from Industry Practitioners: Extend your understanding about the best practices in building portfolios that will help you master the right set of demonstrable skills you need in the dynamic workspace.
  • Work on Real-life Data Science Problems: Take your career head-on by working on projects using a competency based learning paradigm.
  • Applied Data Science is critical for every engineer and every business professional who wants to become a better decision maker.


Dr. Marya Wani

Director of Programs Institute of Product Leadership

Business Unit Head- Director of Programs-School of Data Science @ Institute of Product Leadership. Previously worked as Head of Curriculum and Learning Experience Design instrumental in creating high impact programs for senior executives. Been on the faculty at various B-schools and Universities including Edith Cowan University, Cardiff University, Asia Pacific Institute of IT. I teach MIS, Research Methodology, and Marketing. 

Published papers in reputed International Journals in the areas of Information Systems evaluation, e-Commerce, Social Media.

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Institute of Product Leadership is Asia’s First Business School providing accredited degree programs and certification courses exclusively in Product Management and Marketing , Data Science and Technology Management.

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