🚀 Data Science Full Course 2025 | Free Complete Data Science Training by Intellipaat

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#DataScienceFullCourse #DataScienceCourse #DataScienceForBeginners #LearnDataScience #Intellipaat

This Data Science Full Course 2025 by Intellipaat blends knowledge of multiple disciplines like programming, statistics and machine learning to help you acquire all the skills essential to do data science chores! Whether you're a complete beginner or someone looking to upskill, this data science course is your one-stop solution, which covers theory, practical implementations to real-world data science projects.

This data science tutorial for beginners is designed to match the latest industry standards of 2025. This insight-packed video features an industry expert interview, guided practical sessions, an interview preparation guide, a project, guidance on recent generative AI development, etc.

Throughout this data science full course 2025, you'll learn essential skills required in the field of data science, including Python programming, data visualization, predictive modeling, and machine learning for data science. By the end of this data scientist full course, you’ll be equipped with the right skills to land jobs in data science, whether as a junior analyst or an absolute fresher.

Topics covered in this Data Science Full Course video:
00:00:00 - Introduction to Data Science Full Course
00:01:46 - What is Data Science?
00:06:46 - Data Science Roadmap
00:18:00 - Data Science Lifecycle
00:25:01 - Data Scientist Job Description
00:38:06 - Python For Data Science
00:40:47 - Pandas For Data Science
01:46:48 - Exploratory Data Analysis (EDA)
02:25:45 - Machine Learning Types
02:38:00 - Linear Regression
05:54:10 - Logistic Regression
06:34:06 - SVM
06:35:48 - Decision Tree
06:38:24 - Clustering (K Means)
07:33:35 - Data Science Project
08:54:10 - Discussion on How to Become a Data Scientist
09:41:56 - Data Science Interview Question
10:47:11 - AI Agent From Scratch
11:08:27 - MCP Server Tutorial

🔗 Supporting Media (The Detailed Deep-Dive Material)
1. Logistic Regression: https://youtu.be/29F-fXvowoI
2. SVM : https://youtu.be/2I8TJBfGml0
3. Decision Tree: https://youtu.be/JmAVQ5fDikk

FAQs:
Q1: What is covered in this Data Science Full Course 2025?
This data science full course 2025 includes Python programming, machine learning, statistics, visualization, and real-world data science projects, giving you complete data science training from beginner to advanced level.

Q2: Is this data science course really free?
Yes! Intellipaat offers this data science course free so anyone can access quality data science training without spending a dime. You can start learning the core concepts of data science and machine learning at your own pace.

Q3: Who is this Data Science Tutorial for Beginners suitable for?
This data science tutorial for beginners is ideal for students, working professionals, and career switchers who want to learn data science from scratch with a structured and industry-aligned approach.

Q4: Will I work on real data science projects in this course?
Absolutely. This data science training course includes multiple data science projects that simulate real-world scenarios, giving you practical experience and making you job-ready.

➡️ About the Course
This online Data Science course, in collaboration with iHUB, IIT Roorkee & Microsoft, will help you to elevate your Data Science career. In this course, you will master skills like Python, SQL, Statistics, Machine Learning, AI, Power BI & Generative AI, along with real-time industry-oriented projects.

➡️ Key Features
✅ 50+ Live interactive sessions across 7 months
✅ 218 Hrs Self-paced Videos
✅ 50+ Industry relevant Projects & Quizzes
✅ Live Classes from IIT Faculty & Industry Experts
✅ Certification from iHub IIT Roorkee & Microsoft
✅ 2 Days Campus Immersion at iHub IIT Roorkee

➡️ What’s Covered in This Program?
✅ Linux and Python Fundamentals
✅ Data Wrangling with SQL
✅ Python with Data Science
✅ Linear Algebra and Advanced Statistics
✅ Machine Learning and Prediction Algorithms
✅ Supervised and Unsupervised Learning in ML
✅ Deep Learning with TensorFlow
✅ Generative AI & Prompt Engineering
✅ Deploying Machine Learning Models on Cloud
✅ Data Visualization Tool Power BI

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