The 'academic' component of the EE Program covers multiple pillars of the GenWise Curriculum. These curricular elements will be covered over 2 weeks (4-5 hrs/ day), as follows:
-
Week 1: Mathematics, Science, Design and Technology (STEM Focus)
-
Week 2: Nature, Society &Individual; Tools for Thinking & Communication (Humanities Focus)
Please click on each week to know (MUCH) more...
While children are free to pick either week, we strongly recommend a balanced exposure to the content over both weeks.


Ashish Kulkarni
Ashish teaches courses in economics, finance and statistics at the Gokhale Institute of Politics and Economics, Pune. He also blogs daily at econforeverybody.com, and his mission in life is to make learning as fun as possible for as many people as possible.
Ashish has a PhD in economics from the Gokhale Institute of Politics and Economics, and his corporate work experience includes stints with Genpact, Fidelity Investments and Suzlon.
Data, Visualization, and Statistics for Citizens
Without data, you are just another person with an opinion. In God we trust; all others must bring data!
W Edwards Deming, "father" of Quality Control
Date(s):
May 14-21, 2023

GenWise 2022

GenWise 2022

GenWise 2022

GenWise 2022
The world is today awash with data. Data Scientist roles are unfilled in every part of the world. While business has moved ahead, governments and civil society have to catch up and keep pace. India has made strides by making available thousands of datasets from its various ministries, open to analysis and visualisations - from health, to education, social justice, agriculture, natural resources, and more.
An informed citizen data scientist not only helps analyze the raw data, supplemented with visualisations, but also is able to better interpret such analyses/ visualizations presented to him/ her.
This course covers the following:
Set the context for what is possible using available data
An overview of the statistical concepts/ tools that underlie data and analysis
Interpreting the quality of the conclusions (signal/noise ratio, possible errors we need to seek to avoid, reliability, etc.), which is at the heart of all statistical analysis
The format for interaction will be a mix of in-class lectures, hands-on assignments, and DIY projects.
Please note that this course will work best when paired with Economics & Life Choices, and Introduction to Public Policy.