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TZID:Asia/Kolkata
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DTSTART:19700101T000000
TZOFFSETFROM:+0530
TZOFFSETTO:+0530
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UID:69f4ef806083f@www.invictusengineers.com
DTSTAMP:20260501T182256Z
DTSTART;TZID=Asia/Kolkata:20250710T180000
DTEND;TZID=Asia/Kolkata:20250713T200000
LOCATION:Online
SUMMARY:Data Science Workshop
DESCRIPTION: Data Science Workshop – Learn How to Turn Data into DecisionsData 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 lifecycleReal-world examples (Netflix, Swiggy, Flipkart, Healthcare, etc.)Tools & roles: Data Analyst, Data Engineer, ML Engineer, Data ScientistModule 2: Data Handling & PreprocessingTypes of data: structured, unstructured, semi-structuredBasics of Python, Pandas, and Jupyter NotebookData cleaning, wrangling, and transformation techniquesModule 3: Exploratory Data Analysis (EDA)Finding patterns, trends, and insights in datasetsVisualizing data using Matplotlib, Seaborn, or Power BIHands-on with real datasets (Excel/CSV files)Module 4: Your First Machine Learning ModelWhat is machine learning? Simple explanationBuild a basic prediction model using Python (e.g., Linear Regression)Understanding accuracy, training, and testingModule 5: Career in Data ScienceWhat companies look for in data candidatesResume keywords, GitHub project ideasFree resources, internship portals, and certification pathsOutcomes 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
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