Math for Data Science Masterclass

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!

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

001 Introduction to Visualizing Data.mp4

00:00
002 Scatter Plots.mp4

00:00
003 Line Plots.mp4

00:00
004 Distribution Plots – Histograms.mp4

00:00
005 Categorical Plots – Bar Plots.mp4

00:00
006 CategoricalDistribution Plots – Box and Whisker Plots.mp4

00:00
007 Other Plot Types – Violin Plot, KDE Plot.mp4

00:00
008 Common Plot Pitfalls.mp4

00:00
Section Quiz

04 – Combinatorics

05 – Probability

001 Introduction to Probability.mp4

00:00
002 Probability, Law of Large Numbers, Experimental vs. Expected.mp4

00:00
003 The Addition Rule, Union and Intersection, Venn Diagrams.mp4

00:00
004 Conditional Probability, Independent and Dependent.mp4

00:00
005 Bayes’ Theorem.mp4

00:00
006 Discrete Probability.mp4

00:00
007 Transforming Random Variables.mp4

00:00
008 Combinations of Random Variables.mp4

00:00
009 Probability Practice Problem Set and Answers.html

00:00
Section Quiz

06 – Joint Distributions

07 – Data Distributions

001 Introduction to Data Distributions.mp4

00:00
002 Probability Mass Functions.mp4

00:00
003 Discrete Uniform Distribution – Dice Roll.mp4

00:00
004 Probability Density Functions.mp4

00:00
005 Continuous Uniform Distribution – Voltage.mp4

00:00
006 Cumulative Distribution Functions.mp4

00:00
007 Binomial Distribution.mp4

00:00
008 Bernoulli Distribution.mp4

00:00
009 Poisson Distribution.mp4

00:00
010 Data Distributions Practice Problem Set and Answers.html

00:00
Section Quiz

08 – The Normal Distribution

09 – Sampling

10 – Hypothesis Testing

11 – Regression

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Student Ratings & Reviews

3.0

Total 1 Rating

0 Rating

1 Rating

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Umair Anjum

5 months ago

This course was an so informative.

About Course

What Will You Learn?

Course Content

01 – Introduction

A Message from the Professor

001 Welcome to the Course! Important Info in this Lecture!.html

002 Course Overview and Curriculum.mp4

Section Quiz

02 – Core Data Concepts

001 Introduction to Core Data Concepts.mp4

002 Measurements of Central Tendency – Mean, Median, and Mode.mp4

003 Measurements of Dispersion – Variance and Standard Deviation.mp4

004 Quartiles and IQR.mp4

Section Quiz

03 – Visualizing Data

001 Introduction to Visualizing Data.mp4

002 Scatter Plots.mp4

003 Line Plots.mp4

004 Distribution Plots – Histograms.mp4

005 Categorical Plots – Bar Plots.mp4

006 CategoricalDistribution Plots – Box and Whisker Plots.mp4

007 Other Plot Types – Violin Plot, KDE Plot.mp4

008 Common Plot Pitfalls.mp4

Section Quiz

04 – Combinatorics

001 Introduction to Combinatorics.mp4

002 Factorials.mp4

003 Permutations.mp4

004 Combinations.mp4

005 Combinatorics Practice Problem Set and Answers.html

Section Quiz

05 – Probability

001 Introduction to Probability.mp4

002 Probability, Law of Large Numbers, Experimental vs. Expected.mp4

003 The Addition Rule, Union and Intersection, Venn Diagrams.mp4

004 Conditional Probability, Independent and Dependent.mp4

005 Bayes’ Theorem.mp4

006 Discrete Probability.mp4

007 Transforming Random Variables.mp4

008 Combinations of Random Variables.mp4

009 Probability Practice Problem Set and Answers.html

Section Quiz

06 – Joint Distributions

001 Introduction to Joint Distributions.mp4

002 Covariance.mp4

003 Pearson Correlation Coefficient.mp4

004 Joint Distribution Practice Problem Set and Answers.html

Section Quiz

07 – Data Distributions

001 Introduction to Data Distributions.mp4

002 Probability Mass Functions.mp4

003 Discrete Uniform Distribution – Dice Roll.mp4

004 Probability Density Functions.mp4

005 Continuous Uniform Distribution – Voltage.mp4

006 Cumulative Distribution Functions.mp4

007 Binomial Distribution.mp4

008 Bernoulli Distribution.mp4

009 Poisson Distribution.mp4

010 Data Distributions Practice Problem Set and Answers.html

Section Quiz

08 – The Normal Distribution

001 Introduction to The Normal Distribution.mp4

002 Mean, Variance, and Standard Deviation.mp4

003 Normal Distribution.mp4

004 Standard Normal Distribution.mp4

005 Z-Scores.mp4

006 Normal Distribution Practice Problem Set and Answers.html

Section Quiz

09 – Sampling

001 Introduction to Sampling.mp4

002 Sampling and Bias.mp4

003 The Central Limit Theorem.mp4

004 The Student’s t-Distribution.mp4

005 Confidence Interval for the Mean.mp4

006 Sampling Practice Problem Set and Answers.html

Section Quiz

10 – Hypothesis Testing

001 Introduction to Hypothesis Testing.mp4

002 Inferential Statistics and Hypotheses.mp4

003 Significance Level and Type I and II Errors.mp4