This video is a detailed explanation of the Bayes theorem, which is an important theorem of probability, with a simple example.

This video provides a more elaborate and detailed solution to the practice exercise of the rule of addition concept.

This is a practice exercise to understand better the rule of addition concept with a practical exercise.

This video provides a more elaborate explanation of the solution to the exercise provided in the previous practice exercise.

This video provides the solution and explanation to the exercise provided in the previous lecture.

In this quick practice exercise, we will apply what we already learned about simple probabilities and solve an exercise.

In this lecture, you will learn to calculate the probability of events using a simple probability distribution.

This brief introductory video to this section lets us know what you will learn in terms of probability and its elements.

This video provides the solution and explanations to the practice exercise on the normal distribution in the previous video.

This is a practical exercise in understanding normal distribution with examples to learn the concept better.

In this lesson, you will learn more about a precise distribution score, the Z score, and the Z score table.

Here, we will understand the concepts of statistical moments, which generalizes what we already know about the central tendency measures and spread/dispersion.

After learning about the measures of spread, the range, and IQR, we will now learn more about the two most common measures of spread, the variance, and standard deviation.

In this lesson, we will understand the measures of spread or dispersion, which is the range, and we will look at the interquartile range in detail.

In this lesson, we will discuss the second important measure of central tendency, the median.

This is a welcome introduction by the author where he explains in detail what the course is all about, what you will learn from the course, and a brief outline of the entire course's content.

In this video, you'll learn about p-value and understand why it is one of the most useful tools for statisticians. This clip is from the chapter "Hypothesis Testing" of the series "Statistics for Data Science and Business Analysis".This...

This video explains hypothesis testing.<br<br/>/>

This clip is from the chapter "Hypothesis Testing" of the series "R Programming for Statistics and Data Science".This section explains hypothesis testing.

Simple linear regression models using R programming doesn't need to be scary. This video will take you through the basics of how to interpret linear regression results and the code needed to do the regression models. If you are learning...

R programming is easy. In this video, I'll walk you though how to clean your data; how to manipulate (or wrangle) your data; how to summarize your data; how to create tables and describe your data; how to visualize your data using ggplot...

Simple linear regression models don't need to be scary. This video will take you through the basics of how to interpret linear regression results. If you are learning regression modelling or just learning statistics and quantitative...

This video explains the Central Limit Theorem.<br<br/>/>

This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business applications.

This video explains the foundation of the linear regression model, which is the very first approach to supervised learning.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This...

This video explains hypothesis testing.<br<br/>/>

This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business applications.