Math for Data Science Masterclass
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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 realworld 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 ZScores

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

3Introduction to Core Data Concepts

4Measurements of Central Tendency  Mean, Median, and Mode

5CheckIn Quiz: Central Tendency
Hi there!
Let's quickly check your knowledge with a quick question. If you watched the previous lecture, this question should be fairly easy to answer.

6Measurements of Dispersion  Variance and Standard Deviation

7Checkin Quiz: Measurements of Dispersion

8Quartiles and IQR

9Checkin Quiz: Quartiles and IQR

10Introduction to Visualizing Data

11Scatter Plots

12Checkin Quiz: Scatter Plots

13Line Plots

14Distribution Plots  Histograms

15Checkin Quiz: Histograms

16Categorical Plots  Bar Plots

17Categorical/Distribution Plots  Box and Whisker Plots

18Checkin Quiz: Box Plots

19Other Plot Types  Violin Plot, KDE Plot

20Common Plot Pitfalls

26Introduction to Probability

27Probability, Law of Large Numbers, Experimental vs. Expected

28The Addition Rule, Union and Intersection, Venn Diagrams

29Conditional Probability, Independent and Dependent

30Bayes' Theorem

31Discrete Probability

32Transforming Random Variables

33Combinations of Random Variables

34Probability Practice Problem Set and Answers

39Introduction to Data Distributions

40Probability Mass Functions

41Discrete Uniform Distribution  Dice Roll

42Probability Density Functions

43Continuous Uniform Distribution  Voltage

44Cumulative Distribution Functions

45Binomial Distribution

46Bernoulli Distribution

47Poisson Distribution

48Data Distributions Practice Problem Set and Answers