Master Statistics for Data Science & Machine Learning | Full Course | @SCALER

In this video, led by Sumit Shukla (Data Scientist & Educator), we dive deep into the complete Statistics guide for Data Science and Machine Learning, breaking down every core concept you need to build a strong foundation as a data professional.

Join our FREE Masterclasses run by leading industry experts here: https://www.scaler.com/events/?utm_source=osocial&utm_medium=youtube&utm_campaign=statistics-2025

From Descriptive Statistics and Measures of Central Tendency to Inferential Statistics and Hypothesis Testing, this video compiles everything you need to master the mathematical backbone of all data-driven roles, whether you’re a Data Analyst, Data Scientist, or ML Engineer.

We dive deep into:
00:00 - Introduction
14:30 - Measures of Central Tendency
25:12 - Measures of Dispersion
41:42 - Combinations
44:45 - Permutations
01:21:12 - Descriptive Statistics
01:45:15 - Measures of Variables
02:30:25 - Probability
02:42:00 - Rules of Probability
03:46:06 - Random Variables and Probability Distribution
04:06:20 - Binomial Experiments and Probabilities
04:28:10 - Normalization and Standardization
05:25:43 - Inferential Statistics
05:52:10 - Introduction to Hypothesis Testing
06:16:57 - Hypothesis Testing and Types of Tests
06:45:38 - Different types of T-tests in statistics

Scaler, the tech education brand behind this video, is on a mission to bridge the industry-academia gap and help learners master real-world data skills through structured, mentor-led learning.
Don’t miss this episode if you want to build a strong statistical foundation for Data Science, Machine Learning, or AI.

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Видео Master Statistics for Data Science & Machine Learning | Full Course | @SCALER канала SCALER