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Looking to become a data scientist? This video titled as 'Data Science Course: Learn Data Science & GET HIRED! ' is the only resource to make your dream come true! This course has been compiled after a lot of effort and considerations around what is expected out of a fresher data scientist in 2025. This data science full course will set you on the right path, giving you a detailed idea about what you need to learn in order to become a data scientist. Whether you're a beginner or an experienced professional looking for a career change, this full course will take you through the entire journey of learning data science in one shot, from fundamentals to advanced concepts.
From Python, inferential statistics, Machine Learning to real-world projects, this data science full course ensures you gain industry-relevant expertise. If you're looking for the best data science training for beginners, this data science course to crack jobs is exactly what you need.
📖 Below are the topics covered in this 'Data Science Full Course 2025':
00:00:00 - Introduction to Data Science Full Course
00:05:25 - Data Science Process Lifecycle
00:19:55 - Roles and Responsibilities of a Data Scientist
00:59:35 - Inferential Statistics for Data Science
01:13:17 - Outlier Identification
01:13:53 - Standard Normal Distribution
01:21:36 - Probability Density Function
01:39:21 - Normal Distribution
02:30:45 - Z-Test
03:26:05 - T-Test
04:15:55 - F-Test
04:48:50 - ANOVA
05:23:56 - Types of ANOVA
05:27:18 - ANOVA Test
05:44:28 - Chi-Square Test
06:17:42 - Different Types of Learning
06:20:44 - Supervised Learning (Brief Overview)
06:32:08 - Unsupervised Learning Algorithm - Clustering
06:32:13 - What is Clustering?
06:35:51 - Intuition Behind Clustering
06:44:31 - How Many Clusters?
06:56:56 - K-Means Clustering Algorithm
06:59:25 - What is Euclidean Distance?
07:23:03 - Possible Values
07:29:15 - What is WCSS?
07:42:15 - What is the Elbow Method?
07:48:25 - WCSS Formula
07:52:08 - Dunn’s Index Method
07:57:47 - Silhouette Score
08:08:16 - Priority of Methods
08:16:22 - Hierarchical Clustering
08:18:08 - Proximity
08:40:30 - Linkage
08:51:19 - Types of Clustering
08:56:19 - Data Science Case Study: Stock Prediction
09:43:34 - Data Science Forecasting
10:41:37 - Interview with a Data Scientist: How to Become a Data Scientist
FAQs for Data Science Course:
❓ Is this a complete data science course?
Yes! This is a data science complete course covering everything from fundamentals to advanced concepts.
❓ Can I learn data science for free?
Absolutely! This free data science course free is designed to help you master data science training without any cost.
❓ Is this course suitable for beginners?
Yes! This data science full course is perfect for beginners as it starts from the basics and gradually moves to advanced topics.
➡️ 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 - (Course 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
✅ Career Services by Intellipaat
✅ 2 Days Campus Immersion at iHub IIT Roorkee
✅ 24/7 Support
➡️ 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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