Math for Data Science Masterclass
Learn about probability, statistics, and more using the mathematics that are foundational to the field of data science.
What you’ll 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
Only basic arithmetic skills are needed, we’ll teach you the rest
Welcome to the best online course for learning about the Math behind the field of Data Science!
Working together for the first time ever, Krista King and Jose Portilla have combined forces to deliver you a best in class course experience in how to use mathematics to solve real world data science problems. This course has been specifically designed to help you understand the mathematical concepts behind the field of data science, so you can have a first principles level understanding of how to use data effectively in an organization.
Often students entering the field of data science are confused on where to start to learn about the fundamental math behind the concepts. This course was specifically designed to help bridge that gap and provide students a clear, guided path through the complex and interesting world of math used in the field of data science. Designed to balance theory and application, this is the ultimate learning experience for anyone wanting to really understand data science.
Why choose this course?
Combined together, Krista and Jose have taught over 3.2 million students about data science and mathematics and their joint expertise means you’ll be able to get the best and clearest mathematical explanations from Krista with framing about real world data science applications from Jose. At the end of each section is a set of practice problems developed from real-world company situations, where you can directly apply what you know to test your understanding.
What’s covered in this course?
In this course, we’ll cover:
- Understanding Data Concepts
- Measurements of Dispersion and Central Tendency
- Different ways to visualize data
- 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!
Enroll today and we’ll see you inside the course!
Krista and Jose
Who this course is for:
- Anyone interested in learning more about the mathematics behind data science
Created by Jose Portilla, Krista King
Last updated 12/2022
Size: 2.91 GB
Google Drive Links