Extra Activity 1

Statistics for Data Science 2

Course Overview:

Welcome to the gateway for Applied Statistics. This module is designed to take students on a practical journey through the landscape of large-scale data analysis. Rather than just observing numbers, we will learn to extract actionable intelligence from them. The curriculum begins with the bedrock of Probability Theory, establishing the logic required to understand random events, before progressing to the dynamics of random variables.

Faculty & Mentorship:

• Lead Professor: Prof. Usha Mohan (Dept. of Management Studies, IIT Madras)

• Instructional Team:

  1. Prashant Sharma (Specialization: Statistics, Univ. of Delhi)

  2. Nikita Kumari (Specialization: Mathematics, IIT Madras)

Course Modules & Key Takeaways:

• Foundations of Uncertainty (Probability): We begin by decoding the language of chance. You will master probability distributions and random variables, giving you the mathematical framework needed to predict uncertain outcomes with confidence.

• Inference from Real Data: Moving beyond theory, we apply statistical inference to actual datasets. You will learn the techniques to analyze sample data and draw conclusions that are valid for larger populations—a critical skill for fields ranging from market research to epidemiology.

• Predictive Modeling (Regression): Discover how variables interact with one another. Through regression analysis, you will build models that allow you to forecast trends, such as predicting health metrics or financial growth based on existing patterns.

• Applied Practice: Theory is paired with practice. Every week involves hands-on assignments using real-world data, ensuring you develop the technical proficiency to manipulate and interpret statistics using modern tools.

Program Structure:

Duration: A comprehensive 12-week schedule featuring weekly lectures and practical tasks.

Evaluation: Your understanding will be tested through two proctored quizzes and a final examination, mirroring professional standards.

Expert Insight: Learn directly from experienced IIT Madras faculty who bridge the gap between academic concepts and industry application.

Dataset: Reconstructed "Covid-19 India" Data:

Since I cannot access the restricted Google Sheet directly, I have created a synthetic dataset structure that mirrors the "Covid 19 India" data mentioned on the site. You can use this structure to build your own unique sheet.

Dataset Description:

This dataset tracks the daily progression of the pandemic across different regions.