Essential Statistics for Machine Learning and AI

About Essential Statistics for Machine Learning and AI

This Course on Statistics will help you with all the

basic knowledge

of Statistics that you need to know . You will see Surprising Results in your scores. What is

Statistics?

Statistics is a branch of Mathematics dealing with the collection, organisation ,representation and interpretation of data. This course deals with the graphical representation of data, measures of Central tendency:

Mean ,Median

and Mode and Measures of Dispersion : Mean Deviation and

Standard Deviation.

Statistical data can be easily understood if we represent it in the form of

Charts

and

graphs

. Here, you will study the following types of graphs: Pie Charts, Bar graphs, Histograms, Frequency Polygons. You will learn how to draw these graphs and interpret them. These form an integral part of quantitative aptitude tests. You will learn how to draw a

Pie Chart.

Given a pie chart you will answer questions based on it. How to draw a bar graph to represent data is shown . You are taught how to interpret the data. You will also learn how to draw a

Histogram and Frequency Polygon

and use these in analysing data. Statistical data has the tendency to cluster around a central value. This is called Central tendency. The different ways of measuring Central tendency are Mean,

Median

and Mode. You will learn how to calculate these for grouped and ungrouped data, Problems of the type given below are discussed: Learn the three types of methods for calculating arithmetic mean, namely,

direct method, shortcut method and step deviation

method. Find the mean for a frequency distribution having class intervals using the Shortcut Method. You are introduced to

Quartiles

and how to calculate them using the formula. A few of the problems include: How to calculate the

mode

for a given data. In order to interpret the data, you should know how data is spread around a central value. This leads to measures of dispersion, namely

mean deviation and standard deviation.

You will learn about Mean Deviation about the mean and mean deviation about the median for discrete and continuous frequency distributions. You move on to learning

variance and standard deviation

. Three methods of calculating the standard deviation are discussed. These include the Direct method, Shortcut method and Step Deviation method. Learn the basics of

Regression Analysis

. You'll learn about dependent and independent variables, scatter diagrams and basic formulas of regression. You'll be introduced to

Correlation Analysis

and how to calculate it. Learn Essential Data Visualization Skills-Interpreting Bar Graphs, Line Graphs and more.