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

🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-science-course?utm_campaign=yO4Y45LGVvE&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥Microsoft Azure - Data Analyst Course - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=yO4Y45LGVvE&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥Brown University - Applied AI & Data Science - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=yO4Y45LGVvE&utm_medium=DescriptionFirstFold&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 Statistics • Bayes Theorem • Introduction to Artificial Intelligence • Introduction to Machine Learning 10:54:25 - Machine Learning Basics • Classification of Machine Learning • Decision Tree in Machine Learning • Random Forest Algorithm • K Means Clustering Algorithm • Naive Bayes Classifier • What is Deep Learning? - Data Science Interview Questions ✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH ⏩ Check out the Data Science tutorial videos: https://www.youtube.com/watch?v=X3paOmcrTjQ&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6 #datascience #datasciencecourse #datascienceroadmap #datascientist #datascienceforbeginners #datasciencetools #simplilearn #2026 ✅ About Post Graduate Program In Data Science: This in-depth Data Science program is designed for working professionals, and covers job-critical topics like R, Python programming, Machine Learning techniques, NLP notions, and Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, and corporate ready projects Key Features ✅ ✅ ✅ Core curriculum delivered in live online classes by industry experts ✅ Industry-recognized IBM certificates for IBM courses ✅ Engage in live online masterclasses led by Industry Expert, staff, and IBM experts ✅ Exclusive hackathons and Ask Me Anything (AMA) sessions by IBM ✅ Gain exposure to ChatGPT, Gemini, Keras, TensorFlow and other prominent tools ✅ Interactive sessions on the latest AI trends, such as GenAI, prompt engineering, LLMs, and more ✅ 3 capstones and 25+ hands-on projects from various industry domains ✅ Simplilearn's JobAssist helps you get noticed by top hiring companies Skills Covered ✅ Exploratory Data Analysis ✅ Descriptive Statistics ✅ Inferential Statistics ✅ Model Building and Finetuning ✅ Supervised and Unsupervised Learning ✅ Ensemble Learning ✅ Deep Learning ✅ Data Visualization ✅ Generative AI ✅ Prompt Engineering ✅ ChatGPT ✅ Explainable AI ✅ Machine Learning Algorithms ✅ Model Training and Optimization ✅ Model Evaluation and Validation ✅ Natural Language Processing ✅ Computer Vision ✅ Reinforcement Learning ✅ Speech Recognition Learning Path ✅ Program Induction ✅ Programming Refresher ✅ Data Management using SQL ✅ Python for Data Science (IBM) ✅ Applied Data Science with Python ✅ Machine Learning ✅ Deep Learning Specialization 👉 Enroll Now: https://www.simplilearn.com/in/data-analyst-course?utm_campaign=yO4Y45LGVvE&utm_medium=Description&utm_source=youtube