MASTERCLASS

on Statistical Data Analytics & Deep Learning

In the mountains during hot summer
23 – 27 June 2025 (Hybrid Mode)

About the Program

This course is designed for audiences across various disciplines including Computer Science, Climate Science, Biology, Finance, Economics and others. It is open to students as well as professionals who wish to acquire advanced data analysis and data science tools for research and professional development.

Objective
  • 1. Introduce advanced data analysis across diverse disciplines.
  • 2. Equip participants with practical skills to enhance research capabilities.
  • 3. Promote interdisciplinary learning.
Key Speakers
  • 🌍 Langley Research Center, NASA, USA
  • 🏛️ University of Washington, Tacoma, USA
  • 🎓 SMSS, IIT Mandi
Target Audience
  • 📘 Research Scholars (M.Sc./M.Tech/PhD)
  • 👔 Working Professionals
  • 💻 Data Enthusiasts

Schedule

📊 Module 1:

Foundations of Statistical Data Analytics:

  • Descriptive vs Inferential Statistics, Data visualization
  • Probability Distributions (normal, exponential etc.)
  • Hands-on: Data Exploration using Python

📈 Module 2:

Advanced Time Series and Spatial Analytics

  • Stationarity/Nonstationarity in data
  • Spatial Statistics: Moran’s I (local and global)
  • Change Point Detection, Trend Analysis (Mann- Kendall Tests)
  • Hands-on: Real world data using Python

🤖 Module 3:

Fundamentals of Deep Learning

  • Classification and Regression
  • Neural Networks: MLP, Activation Functions
  • Gradient Descent & Backpropagation
  • Overfitting, Regularization, Dropout
  • Hands-on: Build your first NN from scratch

🔗 Module 4:

Integration – Statistical + Deep Learning Models

  • When to use which method, Feature Engineering using Statistical Methods and DL
  • Deep Learning Architectures: CNNs, RNNs etc.
  • TensorFlow or PyTorch

🧠 Module 5:

Applications:

  • Model Evaluation & Validation (ROC, RMSE, F1 Score etc.)
  • Case Study: Predicting Rainfall / Air Pollution / Temperature
  • Capstone Project: using real-world dataset

Registration & Fees

Category Charges
Offline/Online (For IIT Mandi) INR 2000/-
Online (Others) INR 4000/- / USD 100 (Foreign Nationals)
Offline (Outside Students) INR 8000/-
Offline (Working Professionals) INR 12000/-
Prices includes boarding and lodging only for external candidates.
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    Deadline:
    Expression of Interest: June 15, 2025
    Payment: June 18, 2025

Contact Us

Dr. Sarita Azad

SMSS, IIT Mandi, India
sarita@iitmandi.ac.in
Website

Dr. Rishikesh Yadav

SMSS, IIT Mandi, India
rishikesh@iitmandi.ac.in
Website