upGrad Foundation met with Shri Atul Kumar Tiwari (Secretary, Ministry of Skill Development and Entrepreneurship) on 14 th November 2022. It was jointly decided to pilot a train-the-trainer program for instructors of the National Skill Training Institute (NSTI).
The Future Skills Bootcamp on Data Science and Soft Skills was organized by the upGrad Foundation
and uGDX in collaboration with MSDE between 9 th to 19 th January 2023 at NSTI Bengaluru (W), 29 th
May to 3 rd June 2023 at NSTI Ramanthapur, Hyderabad and 26 th June to 1 st July 2023 at NSTI
Chunabhatti, Mumbai. The week-long programs shed light on new, tried and tested, result-driven and
impact-based Data Science concepts, along with contemporary soft skills to enhance the existing skill
set of craft trainers, and train them in the basics of Data Science and its effective delivery. 114
instructors at NSTI were nominated as trainees by Principal NSTI Bengaluru, Hyderabad and Mumbai.
The week-long Future Skills Bootcamp on Data Science and Soft Skills, organized by the upGrad Foundation and conducted at NSTI centers in India, is designed to shed light on new, tried and tested, result-driven and impact-based Data Science concepts added with contemporary soft skills to enhance the existing skillset of learners and train them in the basics of Data Science and its delivery. This program endeavors to spread knowledge in an effective and interesting manner to the trainers by using practical methods. It will be offered preferably, but not limited to, women instructors.
Introduction to Data Science
Origin of data science, Definition and Explanation, Types of data, How/Where data is
produced/stored
Applications of Data Science
Apps and services around us that use AI, Major fields where AI is used
Tools for DS
Programming languages, visualization tools, different IDEs of Python
Influence of Faculty Persona on Learners
Being Mindful and Sensitive to Multicultural Audiences
Leveraging the strength of Personality
Basic Python
What makes Python preferable for doing data science?
Basic data cleaning
Understanding anomalies in data sets, dealing with missing values, preliminary analyses
Different packages in Python
NumPy, Pandas, Sci-Kit Learn, Seaborn, etc.
Creative Thinking
Edward de Bono – Six Thinking hats
Hands-on EDA Projects
Live Covid Tracker
Introduction to ML Concepts
Understanding the code, executing the code
Evaluating the model
Checking evaluation metrics and understanding model performance
Model improvements (if any)
Growth Mindset
Importance and Impact of Growth Mindset
Practicing Growth Mindset
ML Project
End to End execution of Real-Time ML Application
Coaching Skills
Importance of moving off the Teacher’s role for effective Coaching
Guidelines for Impactful Coaching
DL Project
Hand-Written Character Recognition using Computer Vision
Conflict Resolution
Resolution Mindset and Problem-Solving Skills
Recap on what has been done
Finish up the project – Q&A, doubt-clearing sessions, etc.
Presentation by the Learners
