Data Science Full Course 2026 | Data Science Tutorial | Data Science Training Course | Simplilearn

🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=C5kvx8J3010&utm_medium=Lives&utm_source=Youtube 🔥Microsoft Azure - Data Analyst Course - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=C5kvx8J3010&utm_medium=Lives&utm_source=Youtube 🔥Brown University - Applied AI & Data Science - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=C5kvx8J3010&utm_medium=Lives&utm_source=Youtube This Data Science Full Course 2026 by Simplilearn, we start with a beginner-friendly introduction to Data Science, guiding you through its basics and how to start a career in this field. You’ll learn the roadmap to becoming a data scientist, starting with Probability and Statistics, a core foundation for analysis. The course then covers Data Science essentials, including Python basics, understanding Artificial Intelligence, Machine Learning, and Deep Learning, key roles like Data Analyst vs Data Scientist, and important concepts like distributions, Bayes Theorem, and the Data Science life cycle. We’ll dive deeper into Machine Learning, exploring algorithms like Decision Trees, Random Forests, K-Means, Naive Bayes, and Deep Learning. Finally, the course wraps up with top interview questions to prepare you for real-world roles in Data Science. Following are the topics covered in Data Science Full Course 2026: 00:00:00 - Introduction to Data Science Full Course 2026 00:44:13 - Data Science Tutorial For Beginners 00:50:23 - Professional certificate course in Data Science 00:59:35 - Roadmap to Data Science 01:45:54 - Probability and Statistics 07:37:26 - Data Science Basics • Introduction to Data Science • Al vs ML vs DL vs Data Science • Python Basics For Data Science • Data Analyst vs Data Scientist vs Data Engineer • Data Science Life-Cycle • Statistics For Data Science • Types of Distribution in Statist