Data Science Full Course 2026 [FREE] | Learn Data Science From Scratch in 24 Hours | Simplilearn

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This free Data Science Full Course 2026 is a complete learning path that takes you from basic concepts of Data Science to advanced data science skills in a simple and structured way. It starts by explaining what data science is, key roles, the data science life cycle, and the data science roadmap for 2026. You’ll learn how mathematics, statistics, and probability are used in real business and analytical problems. The course covers hands-on tools like Excel, Python, NumPy, and Pandas for data analysis. It also introduces machine learning, deep learning, and NLP concepts in an easy-to-understand manner. The course ends with real-world projects and interview questions to help you prepare for data science roles confidently.

Following are the topics covered in this 24 Hour Data Science Full Course 2025 By Simplilearn:

00:00:00 - Introduction to Data Science 00:05:58 - What Is Data Science? 00:08:07 - Data Scientist Vs Data Analyst In 2026 00:19:22 - Data Science Life Cycle 00:36:27 - Use Cases Of Mathematics In Data Science 00:49:57 - Statistical Analysis And Business Applications 01:13:27 - Data Science Roadmap For 2026 01:41:58 - Excel for Data Analytics 2026 00:02:51 - Data science pipeline and deployment demo 00:13:52 - NumPy fundamentals and array basics 00:46:07 - NumPy operations and special arrays 01:16:16 - Random numbers, arange/reshape, broadcasting 01:41:50 - Linear algebra and NumPy utilities 02:05:39 - Pandas: Series and DataFrame basics 02:34:10 - Reading data and practical I/O 03:01:12 - DataFrame EDA and exploration 03:25:26 - Indexing, feature engineering, sorting, cleaning 04:26:15 - GroupBy, pivot tables, and filtering 05:01:13 - Concatenation and merges 05:29:28 - Matplotlib fundamentals and chart choices 06:19:47 - Seaborn and Plotly visualizations 08:21:40 - Statistics foundations: variables and central tendency 09:15:06 - Dispersion, scaling, distributions, correlation, probability 14:47:49 - Numpy Tutorial for Data Science 17:53:24 - Pandas For Data Science 18:32:23 - Statistics For Data Science 18:55:10 - Types Of Distribution In Statistics 19:19:05 - Chi-Square Distribution 19:24:08 - Binomial Distribution In Probability 19:29:08 - Poisson Distribution In Probability And Statistics 19:32:02 - Inferential Statistics 19:37:34 - R Squared Error 19:54:51 - Mean Squared Error 19:59:39 - Probability And Binomial Distribution 20:26:26 - Probability Density Function With Example 20:50:17 - Cumulative Distribution Function Tutorial With Example 21:21:02 - Conditional Probability 21:27:25 - Bayes Theorem 21:32:09 - Supervised Vs Unsupervised vs Reinforced Learning 22:08:26 - Natural Language Processing 22:16:21 - Deep Learning With Python 22:29:43 - Top 10 Data Science Projects For 2026 23:19:29 - Data Science Interview Questions

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