Measures of Central Tendency

Offered byGreat Learning
Private Institute

Measures of Central Tendency
at
Great Learning
Overview

Duration	1 hour
Total fee	Free
Mode of learning	Online
Difficulty level	Beginner
Official Website	Explore Free Course
Credential	Certificate

Table of content

Overview
Highlights
Course Details
Curriculum
Faculty

Measures of Central Tendency
at
Great Learning
Highlights

Earn a certificate of completion

Measures of Central Tendency
at
Great Learning
Course details

What are the course deliverables?

Measures of Central Tendency
Type of Statistics

More about this course

This free Measures of Central Tendency course will start with a briefing about the agenda of using Measures of Central Tendency
By now, you will be aware that Measures of Central Tendency are closely related to Statistics
Thus, you will learn about the importance of Statistics and how it affects Measures of Central Tendency in data analysis
Next, you will understand the types of data that you will come across during data analysis
You will then understand Central Tendency's role in data analysis
You will learn about measures of dispersion through which you will understand the scattering of data
Lastly, you will go through a case study that will help you get familiar with the practical applications of Measures of Central Tendency in data analysis

Measures of Central Tendency
at
Great Learning
Curriculum

Types of Data

Measures of Dispersion

Importance of Statistics

Type of Statistics

Central Tendency

Case Study for Measures of Central Tendency

Measures of Central Tendency
at
Great Learning
Faculty details

Mr. Bharani Akella

Designation : Data Scientist Description : Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.