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Math for Data Science Masterclass

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About Course

Learn the essential mathematics behind Data Science with this comprehensive free course! This course, offered on Udemy, is designed to help you understand the mathematical concepts that power data science.

This course is perfect for anyone who wants to understand data science from the ground up, including those new to the field. You’ll learn the fundamental mathematical concepts and how to apply them to real-world data science problems.

Taught by experts Krista King and Jose Portilla, who have taught over 3.2 million students, this course combines theory and application to give you a deep understanding of data science math.  You’ll work through practice problems based on real-world company situations, ensuring you can apply your knowledge.

**What you’ll learn:**

* Understanding Data Concepts
* Measurements of Dispersion and Central Tendency
* Different ways to visualize data
* Permutations
* Combinatorics
* Bayes’ Theorem
* Random Variables
* Joint Distributions
* Covariance and Correlation
* Probability Mass and Density Functions
* Binomial, Bernoulli, and Poisson Distributions
* Normal Distribution and Z-Scores
* Sampling and Bias
* Central Limit Theorem
* Hypothesis Testing
* Linear Regression
* And much more!

Start learning for free today! This course is completely free of charge. Enroll now and join Krista and Jose inside the course!

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What Will You Learn?

  • Understand core concepts about data quality and quantity
  • Learn about how to measure data with statistics
  • Discover how to visualize data with a variety of plot types
  • Use combinatorics to calculate permutations and combinations of objects
  • Understand the key ideas in using probability to solve problems
  • Learn how to use data distributions with real world data
  • Discover the powerful insights from the normal distribution
  • Use sampling and the central limit theorem
  • Understand hypothesis testing on sample groups
  • Cover the basics of linear regression

Course Content

01 – Introduction

  • A Message from the Professor
  • 001 Welcome to the Course! Important Info in this Lecture!.html
    00:00
  • 002 Course Overview and Curriculum.mp4
    00:00
  • Section Quiz

02 – Core Data Concepts

03 – Visualizing Data

04 – Combinatorics

05 – Probability

06 – Joint Distributions

07 – Data Distributions

08 – The Normal Distribution

09 – Sampling

10 – Hypothesis Testing

11 – Regression

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Student Ratings & Reviews

3.0
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UA
3 months ago
This course was an so informative.

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