Learn Statistics For Data Science: COMPLETE Course For Beginners (2025)| Statistics Tutorial! This full course covers everything you need to start your data science journey.
This Statistics for Data Science tutorial by Intellipaat is designed for beginners and covers the most important statistical concepts used in real-world data analysis, machine learning, and AI projects. Whether you're new to data science or want to strengthen your math foundation, this complete course walks you through the core ideas in a simple and practical way.
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✅ What You’ll Learn in This Statistics For Data Science: COMPLETE Course:
00:00:00 - Introduction to Statistics For Data Science
00:01:35 - Intro to Statistics
00:06:28 - Population vs Sample
00:18:23 - Central Tendencies
00:27:23 - Percentile
00:30:46 - Quartiles
00:33:06 - Outliers
00:35:22 - Correlation
00:37:21 - Probability
01:04:55 - Probability Distribution
01:16:28 - Normal Distribution
01:19:42 - Central Limit Theorem
01:21:58 - Hands-on
01:43:16 - Inferential Statistics
01:48:12 - Mean is Sensitive to Outliers
01:53:08 - Outliers Identification
01:55:50 - Standard Normal Distribution
02:02:22 - Probability Density Function
02:22:05 - Descriptive vs Inferential Statistics
02:28:16 - Sample vs Population
02:45:20 - Confidence Interval
03:07:04 - Hypothesis Testing
03:18:07 - What is P-value?
03:25:25 - Steps in Hypothesis Testing
03:27:07 - Type 1 and Type 2 Errors
03:33:22 - T-test and Z-test
03:41:57 - One-tailed vs Two-tailed Test
03:46:15 - Types of T-tests
04:07:31 - F-test
04:12:29 - ANOVA (Analysis of Variance)
04:35:07 - Hands-on: ANOVA & Chi-Square
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