Data Science Workshop

Data Science Workshop – Learn How to Turn Data into Decisions
Data is the new oil — and those who know how to use it are the ones shaping the future. Whether you’re from a tech or non-tech background, this 5-hour workshop gives you a hands-on entry into the world of Data Science, one of the most in-demand and future-proof careers globally.

Who Should Join?
📊 Students from CSE, IT, ECE, EEE, or any branch curious about data
🧠 Beginners with interest in analytics, ML, or research
📈 Anyone aiming for careers in Data Science, AI, or Business Intelligence
💼 Final-year students preparing for placements in tech or consulting
🧮 Students who love numbers, logic, patterns, or problem-solving

Why This Workshop is a Game-Changer
✅ Learn core data science concepts even with zero coding background
✅ Understand how data drives real-world decisions in tech, healthcare, finance, etc.
✅ Hands-on with tools like Python, Jupyter, Pandas, and Power BI
✅ Build your first data project and visualize results like a pro
✅ Strengthen your resume and LinkedIn with data skills
✅ Get career clarity and internship pathways in data & analytics

What You’ll Learn (Module Breakdown)

Module 1: What is Data Science?

• The Data Science lifecycle

• Real-world examples (Netflix, Swiggy, Flipkart, Healthcare, etc.)

• Tools & roles: Data Analyst, Data Engineer, ML Engineer, Data Scientist

Module 2: Data Handling & Preprocessing

• Types of data: structured, unstructured, semi-structured

• Basics of Python, Pandas, and Jupyter Notebook

• Data cleaning, wrangling, and transformation techniques

Module 3: Exploratory Data Analysis (EDA)

• Finding patterns, trends, and insights in datasets

• Visualizing data using Matplotlib, Seaborn, or Power BI

• Hands-on with real datasets (Excel/CSV files)

Module 4: Your First Machine Learning Model

• What is machine learning? Simple explanation

• Build a basic prediction model using Python (e.g., Linear Regression)

• Understanding accuracy, training, and testing

Module 5: Career in Data Science

• What companies look for in data candidates

• Resume keywords, GitHub project ideas

• Free resources, internship portals, and certification paths

Outcomes You Can Expect:
✅ Understand the core concepts of data science & machine learning
✅ Handle real datasets with ease using modern tools
✅ Build your first project and showcase it on GitHub
✅ Become interview and internship-ready
✅ Add high-value data science skills to your portfolio