Data Science Full Course 2026 | Data Science Tutorial | Learn Data Science In 24 Hours | Simplilearn

🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-science-course?utm_campaign=qlzRMwC883o&utm_medium=Description&utm_source=Youtube 🔥Microsoft Azure - Data Analyst Course - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=qlzRMwC883o&utm_medium=Description&utm_source=Youtube 🔥Microsoft Azure - Data Analyst Course - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=qlzRMwC883o&utm_medium=Description&utm_source=Youtube Following are the topics covered in Data Science Full Course 2026: 00:00:00 - Introduction to Data Science Excel Full Course 2026 00:02:18 - Introduction to Data Science 00:13:29 - Probability and Statistics 00:57:10 - Data Preprocessing and EDA 01:26:10 - Machine Learning Fundamentals 01:50:00 - Data Visualization, Deployment, and Ethics 02:14:30 - Model Deployment and Operationalization 02:49:21 - Data Science With Python 04:12:18 - Applied Data Science With Python 04:15:25 - What is Data science 04:26:20 - Data science process and applications 04:39:20 - Python libraries and plotting overview 04:43:19 - Environment setup: Anaconda and Colab 04:48:22 - NumPy intro: arrays and purpose 04:57:34 - Why NumPy is fast: timing demo 05:15:45 - Arrays vs lists; nd-array basics 05:28:27 - 0D/1D/2D/3D arrays and attributes 06:13:19 - Reshape arrays: change dimensions 06:28:40 - Transpose arrays and use cases 06:48:43 - NumPy arithmetic operations 07:39:20 - String arrays with numpy.char 07:51:31 - arange and linspace explained 08:13:34 - Random numbers and distributions 08:51:07 - Indexing and slicing arrays 09:19:20 - Pandas intro and Series basics 10:13:42 - Series analysis and missing data 10:28:18 - Sorting, alignment, and map 11:37:30 - DataFrames: create and display 12:11:11 - SQL For Data Science Tutorial 2026 13:12:51 - Numpy Tutorial for Data Science 16:18:26 - Pandas For Data Science 16:57:25 - Statistics For Data Science 17:20:12 - Seaborn Library In Python 17:38:47 - Types Of Distribution In Statistics 18:02:42 - Chi-Square Distribution 18:07:45 - Binomial Distribution In Probability 18:12:45 - Poisson Distribution In Probability And Statistics 18:15:39 - Inferential Statistics 18:21:11 - R Squared Error 18:38:28 - Mean Squared Error 18:43:16 - Probability And Binomial Distribution 19:10:03 - Probability Density Function With Example 19:33:54 - Cumulative Distribution Function Tutorial With Example 20:04:39 - Conditional Probability 20:11:02 - Bayes Theorem 20:15:46 - Supervised Vs Unsupervised vs Reinforced Learning 20:52:03 - Natural Language Processing 20:59:58 - Deep Learning With Python 22:13:20 - Top 10 Data Science Projects For 2026 22:23:06 - Data Science Interview Questions ✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH ⏩ Check out More Data Science Videos By Simplilearn: https://www.youtube.com/playlist?list=PLEiEAq2VkUUJF3yCKuD_gksEJfOv_D4wI #datascience #datasciencefullcourse #datasciencecourse #datascienceroadmap #datasciencecourse #datascienceproject #datascienceinterviewquestions #datasciencetutorial #datascienceprojectinpython #2026 #simplilearn #datasciencefullcourse #datasciencewithpython #learndatascience #datasciencecourse #datascienceforbeginners #datasciencetools 👉 Learn more at: https://www.simplilearn.com/in/data-analyst-course?utm_campaign=qlzRMwC883o&utm_medium=Description&utm_source=Youtube 🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688