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Introduction to Descriptive Statistics

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About this Course

A background in Statistics can prepare you for a wide range of job opportunities ranging from being a pure statistical researcher to a highly sought after data scientist. Keeping the importance of Statistics in mind, this course on Descriptive Statistics will introduce you to the basics of Statistics, central tendancy, variablility, skewness, and kurtosis.

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Course Outline

Introduction to Statistics

Statistics is the discipline of science that deals with studying the collection of data, analyzing, interpreting, and presenting empirical data. It explores the variation in the set of data.

What is Statistics?
Data Collection for Statistics

Statistics uses many approaches to collect the data for statistical analysis. Direct observation, Experiments, and surveys are the most popular methods to obtain data for statistical analysis. The survey collects data from people through Gallup polls, pre-election polls, marketing surveys, and other forms. 

Types of Statistical Analysis

Descriptive Statistical analysis deals with organizing and interpreting data using graphical and numerical methods, such as Inferential Statistical Analysis, Predictive Analysis, Prescriptive Analysis, Casual Analysis, Mechanistic Analysis are the standard statistical analysis techniques used in Descriptive Statistics.

Measures of Central Tendency

This section describes measures of central tendency by formulating to solve for the previously mentioned example. It also analyzes various metrics of the solution through graphs. 
 

Measures of Variability

In Descriptive Statistics, Variability is generally measured with statistical metrics such as Range, Interquartile range, and Standard deviation. You will learn these metrics in detail further in this section.

Measure of Relationships

A statistical measure that shows the relationship between two or more variables or between two or more sets of data, such as the correlation between two variables. For example, education and academic achievement.

Measure of Skewness

In Descriptive Statistics, Skewness measures the degree and direction of asymmetry. The skewness is zero in a normal distribution, and when the mean is less than the median, the distribution has negative skewness. 

 

Understanding Kurtosis

Kurtosis is a measure of data to check if it is the profusion of outliers or lack of outliers relative to normal distribution. The normal distribution of kurtosis is zero.

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Introduction to Descriptive Statistics

1.5 Learning Hours . Beginner

Why upskill with us?

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700+ free courses
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