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Role of Mathematics in Data Science and How to Learn - Data Science

Offered By: Great Learning via YouTube

Tags

Bayes Theorem Courses Normal Distribution Courses Conditional Probability Courses Measures of Central Tendency Courses

Course Description

Overview

Explore the crucial role of mathematics in data science and learn effective strategies for mastering essential mathematical concepts in this comprehensive video. Dive into fundamental statistical concepts like measures of central tendency and deviation, probability basics including conditional probability and Bayes' Theorem, and the importance of normal distribution in data science. Work through practical examples and problem-solving exercises to reinforce your understanding of these key mathematical pillars. Gain valuable insights into how these mathematical foundations support various aspects of data science and prepare for a Q&A session to address your specific queries about applying mathematics in data science contexts.

Syllabus

Role of Mathematics in Data Science & How to Learn? | Data Science | Great Learning


Taught by

Great Learning

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