Math for Data Science Masterclass
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
Requirements
- Only basic arithmetic skills are needed, we'll teach you the rest
Description
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
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!
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
Instructors
![Jose Portilla](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.6 Instructor Rating
- 1,003,610 Reviews
- 3,236,579 Students
- 59 Courses
Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science, Machine Learning and Python Programming. He has publications and patents in various fields such as microfluidics, materials science, and data science. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming, the ability to analyze data, and the skills needed to present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Training and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, McKinsey and many more. Feel free to check out the website link to find out more information about training offerings.
- 4.7 Instructor Rating
- 53,948 Reviews
- 212,413 Students
- 20 Courses
Math class was always so frustrating.
I’d go to a class, spend hours on homework, and three days later have an “Ah-ha!” moment about how the problems worked that could have slashed my homework time in half.
I’d think, “WHY didn’t my teacher just tell me this in the first place?!”
So I started tutoring to keep others out of that aggravating, time-sucking cycle. Since then, I’ve recorded tons of videos and written out cheat-sheet style notes and formula sheets to help every math student—from basic middle school classes to advanced college calculus—figure out what’s going on, understand the important concepts, and pass their classes, once and for all.