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

Wed, 11 Mar 2026 11:44:12 +0000

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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