What you would learn in Math for Data Science Masterclass course?
For the first time in history, Krista King and Jose Portilla have joined forces to give you the most engaging and interactive course on applying mathematics to solve real-world issues in data science. This course was specifically designed to assist you in understanding the mathematical foundations that drive what is known as data science to give you an understanding of the basics of how you can use data effectively within a company.
Many students entering the area of data science get lost about where to begin to understand the basic maths that underlies the concepts. This course was created to bridge the gap and give students a simple, logical way through the complex and intriguing mathematics used in data science. The course is designed to balance theory and practical application; this is the ideal training experience for anyone who wants to understand data science more deeply.
Why do you want to take this course?
Krista and Jose have taught more than 3.2 million math and data science students. Their expertise in tandem means that you'll receive the most precise and concise math-based explanations from Krista and a discussion of actual data science applications from Jose. In the final section, you will find a series of exercises based on real-world business scenarios, where you can immediately apply the knowledge you've learned to test your knowledge.
What's covered in this class?
In this course, we'll go over the following:
Understanding Data Concepts
Measurements of Dispersion as well as Central Tendency
Different ways to display information
Permutations
Combinatorics
Bayes Theorem
Random Variables
Joint Distribution
Correlation and Covariance
Probability Mass, Density Functions, and the Density
Binomial, Bernoulli, and Poisson Distributions
Normal Distribution as well as Z-Scores
Sampling and Bias
Central Limit Theorem
Hypothesis Testing
Linear Regression
and much more!
Course Content:
- Know the basic concepts around the quality of data and its quantity
- Learn how to quantify information using statistics
- Learn how to present data using a variety of plot types
- Utilize Combinatorics for calculating permutations as well as combinations of objects
- Learn the fundamental concepts in applying probability to solve problems
- Learn to utilize data distributions that are based on real-world data
- Learn the most powerful lessons that come from a normal distribution
- Utilize sampling as well as Central Limit Theorem
- Know the importance of hypothesis testing in samples of groups
- The basics of linear regression.
Download Math for Data Science Masterclass from below links NOW!
