Data Science Full Course 2025 | Data Science Course Free | Data Science For Beginners | Intellipaat

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This Data Science Full Course 2025 by Intellipaat provides a structured learning path for mastering data science concepts. It starts with understanding what data science is and what the data science life cycle looks like. Following that, we’ll dive into the machine learning part of the course to help you build a solid foundation for developing data science models. From this point onward, all explorations and hands-on implementations will be performed using the Python programming language.

Learners will explore linear regression, logistic regression, support vector machines, decision trees, K-Means clustering, and more. These algorithms cover everything from classification and regression to clustering problem settings. Once these topics are completed, learners will have a strong understanding of how to implement most machine learning algorithms. Next, they will go through the most important part: fine-tuning the output of machine learning models. This course places strong emphasis on dimensionality reduction techniques like PCA and LDA.

Finally, you'll go through some of the most commonly asked data science interview questions to become job-ready. This course is your gateway to mastering core data science concepts and preparing yourself for the data-driven world of tomorrow.

đź”— Supporting Media (The Detailed Deep-Dive Material)
1. Logistic Regression:    • Logistic Regression in Machine Learni...  
2. SVM :    • Support Vector Machine Algorithm (In ...  
3. Decision Tree:    • Decision Tree Algorithm in One Shot |...  

The following are the topics covered in the Data Science Full Course:
00:00:00 - Introduction to Data Science Course
00:02:53 - What is Data Science?
00:05:00 - Data Science Life Cycle
00:10:07 - Introduction to Linear Regression
00:11:59 - Mathematics Behind Linear Regression
01:01:10 - R-Squared and Adjusted R-Squared
01:34:42 - Hands-on Implementation: Linear Regression
03:26:46 - Logistic Regression
03:28:50 - Support Vector Machine Algorithm
03:30:10 - Decision Tree Algorithm
03:33:01 - K-Means Clustering in Detail
05:26:03 - K Means Clustering Implementation
06:50:33 - Feature Engineering For Model Performance Optimisation
07:00:00 - PCA
10:07:14 - LDA
10:52:29 - Data Science Interview Questions

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#DataScienceCourse #DataScienceFullCourse #DataScienceTutorialForBeginners #DataScienceTraining #Intellipaat

➡ ️ About Data Science 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:
âś… 50+ Live interactive sessions across 7 months
âś… 218 Hrs Self-paced Videos
âś… 50+ Industry relevant Projects & Quizzes
âś… Live Classes from IIT Faculty & Industry Experts
âś… Certification from iHub IIT Roorkee & Microsoft
âś… 2 Days Campus Immersion at iHub IIT Roorkee

➡ ️ What’s Covered in This Program?
âś… Linux and Python Fundamentals
âś… Data Wrangling with SQL
âś… Python with Data Science
âś… Linear Algebra and Advanced Statistics
âś… Machine Learning and Prediction Algorithms
âś… Supervised and Unsupervised Learning in ML
âś… Deep Learning with TensorFlow
âś… Generative AI & Prompt Engineering
âś… Deploying Machine Learning Models on Cloud
âś… Data Visualization Tool Powehttps://bit.ly/Data-Science-courset.ly/Data-Science-course

🔥 🔥 Interested in Attending Live Classes? Call Us: IND: +91-7022374614 / US: 1-800-216-8930




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