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Are you looking for a data science course that covers everything from basics to advanced concepts? This data science full course is your one-stop destination to master data science training with hands-on projects and real-world applications. Whether you are a beginner or an experienced professional, this data science training course will equip you with the skills needed to excel in the industry.
In this data science course online, you’ll learn Python for Data Science, Machine Learning, Deep Learning, and more. This data science full course 2025 is designed to provide in-depth knowledge and help you transition into a career as a Data Scientist. If you are looking for a data science course free, we have beginner-friendly tutorials that help you learn data science from scratch and build a strong foundation.
This data scientist course is structured to ensure a step-by-step learning experience, making it one of the best data science courses for beginners. If you’re aiming to become a data scientist, this data scientist full course will guide you through industry-relevant skills, preparing you for high-paying job roles.
📖 Below are the topics covered in the video on 'Data Science Course | Data Science Full Course [2025]'
00:00 - Introduction to Data Science Course
03:53 - Introduction to Data Science
10:25 - Data Analyst vs Data Scientist
26:41 - Statistics & Probability for Data Science
1:55:32 - Basics of Machine Learning
2:00:30 - Introduction to Linear Regression
2:49:48 - Mathematics Behind Linear Regression
3:22:32 - R-Squared and Adjusted R-Squared
3:22:32 - Hands-on
5:15:20 - Understanding the Classification Problem Setting
5:22:39 - Example of a Classification Problem
5:30:01 - Logistic Regression Mathematical Intuition
5:50:26 - Implementation of Logistic Regression Algorithm Using Python
6:27:57 - Confusion Matrix
6:35:38 - Classification Curve (Figuring Best Fit)
7:00:23 - Logistic Regression Project Hands-On Continuation
7:46:58 - Logic Behind Decision Trees
7:53:56 - Gini Impurity
8:00:57 - Calculating Gini Impurity on a Sample Dataset
8:17:04 - Hands-on Implementation
9:07:42 - Understanding K-Means Algorithm
9:34:18 - Possible Values in K-Means
9:36:55 - Generalizing 'n' Data Points
9:40:20 - What is WCSS?
9:58:19 - What is the Elbow Method?
9:58:55 - WCSS Formula
10:02:49 - Dunn’s Index Method
10:08:31 - Silhouette Score
10:19:09 - Priority of Methods
10:27:34 - Data Science Interview Questions
FAQs – Data Science
❓ What is Data Science?
Data Science is an interdisciplinary field that uses statistics, machine learning, and data analysis to extract insights from structured and unstructured data.
❓ Why is Data Science important?
Data Science helps businesses make data-driven decisions, optimize operations, improve customer experiences, and drive innovation using AI and machine learning.
❓ What skills are required to become a Data Scientist?
Key skills for Data Science include Python, R, SQL, machine learning, data visualization, statistics, and big data technologies like Hadoop and Spark.
➡️ 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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