Quick Mind Map for Statistics - Part 1

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Statistics is the one of the pillar or a prerequisite of a Data Science and is used in Data analysis and Visualization in the lifecycle of a Data Science Project. In this series, presenting you a quick mind map of Statistics for Data Science. Statistics needs to be studied in the following order.

 

Mind- Map for Statistics

Statistics is subdivided into

1.) Descriptive Statistics

2.) Inferential Statistics.

 

This diagram represents the mind-map of Descriptive Statistics. Descriptive statistics describes the characteristics of the data set. It is further subdivided into three categories

1.) Measures of Central Tendency

2.) Measures of Variability

3.) Measures of a Symmetry.

 

Measures of Central Tendency tells about the center of the dataset and are

1.) Mean

2.) Median

3.) Mode

 

Measures of Variability tells about the dispersion of data points around the mean and are

1.) Variance

2.) Standard Deviation

3.) Co Variance

4.) Coefficient Correlation

 

Measures of Symmetry tells the symmetry of the data, if it is normally distributed or skewed and are

1.) Skewness

2.) Kurtosis

 

Studying in this order will help you understand the topics better and you will be able to utilize them practically. We will also post everything in the same order. We already have a blog on Measures of Central Tendency. Please Check the link for the detailed study.

 

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