Correlation Techniques :

Correlation is a mathematical concept. In a multi-variable environment, correlation is the statistical technique that helps find out if and to what extent pairs of variables depend on one another. A very simple and oft-quoted example is that of height and weight as variables. Taller people have a tendency to be heavier but this relationship between the two is hardly uniform and seldom perfect. In fact, there are many cases that can outright violate the above statement. Correlation would be find how the two variables depend on each other.

However, in larger data sets, there are a number of variables and correlation is more than a little difficult, mostly because many correlations aren’t qualitatively anticipated and can be unprecedented. Good correlation techniques can help make greater sense out of the data available.

As is common among statistical techniques, correlation is limited to certain types of data- those that are quantitative in nature and where it makes sense to correlate how the quantitative values are dependent on one another. It is not applicable in cases of categorical data like colours, gender etc.

The crucial result of any correlation technique is the correlation co-efficient, say r. The value of r ranges from -1 to +1.  A correlation coefficient of 0 indicates complete independence of the variables. More the dependence, closer is the value of r to +1 or -1.  Negativity or positivity of r refers to negative or positive correlation.

Minitab:

Minitab is a specialised tool(a statistics package) that helps you analyse data effectively. It was developed in 1972 at the Pennsylvania State University by Brbara F. Ryan, Thomas A. Ryan Jr and Brian L. Joiner. The is distributed by the privately owned Minitab Inc headquatered at State College, Pennsylvania.

About the Course:

Educba’s  tutorial is aimed at teaching how to implement correlation techniques using Minitab. The course shall address the importance of correlation in model fitment in regression courses and shall cover Basic Correlation theory, interpretation of correlation constant and using it to predict relationships and implementation on sample data sets using Minitab. The course is completely online and demands no paperwork whatsoever or any fixed schedule. It is free for anybody registered on the website.  The course shall be extremely helpful for those interested in learning about and applying correlation techniques in real time and using proper .

Course details:

The course consists of a series of video , arranges systematically offering instructions on correlation techniques and implementation using minitab. Here is the breakdown of the course:

Section 1:

1. Introduction to the course
2. Basic Correlation Theory
3. More about Basic Correlation Theory
4. CT implementation using Minitab
5. A continuation of CT implementation using Minitab
6. Interpretation of correlation values

Section 2:

1. Results for return
2. Correlation Values- observations
3. Correlation Values- interpretation
4. Heart Beat- Objective
5. Heart Beat- Interpretation
6. Demographics and living standards
7. Observations on Demographics and living standards
8. Graphical implementation
9. Addition of regression fit
10. Scatterplot with regression
11. Scatterplot of Rhdeq vs Rhcap

Prerequisites:

This course is about a statistical technique used in data analysis and interpretation and therefore there are a few prerequisites for this course.

1. Knowledge of Quantitative Methods

Way of quantification of data analysis (done by statistical, mathematical or numerical means) using computation are known as Quantitative methods. Since Correlation techniques are strictly mathematical and statistical tools, understanding of the concepts require a certain basic knowledge of Quantitative mathematics. Hard core statistical techniques and concepts of this course make it difficult for those without such a background.

1. Ms Office

This course also demands a prior knowledge of MS Office and the various softwares that it includes. MS Office is a widely used package that almost everyone with a computer is familiar with and therefore should not be a problem for those wishing to take up this course.

1. Ms Paint

MS Paint is again a very grass-root level and popularly used for most users. It is an important prerequisite for taking up this course.

1. Proper Device

Since the course is audiovisual in nature, you must have a device that can stream and display videos properly. Also ensure that the device has Minitab preloaded in it.

1. Internet

Since this course is entirely online, ensure that you have proper and steady internet connectivity

 Target Audience:

The course is freely available on the educba website for those wishing to pursue it. However, this course, being strictly need-based in nature, the target audience for the course are:

1. Statistical Analysts

Those dealing with large amounts of data and making sense out of them will find immense benefit from taking this course. Correlation is a fundamental statistical tool and its implementation using is a very important learning point. The course is meant to teach you how to explore the various way of implementation of this tool and is of utmost importance to analysts.

1. Programmers

Programmers, particularly those working on regression will find this course beneficial because this course, among other things, covers how correlation techniques find usage in regression fit. The course relates to immediate subject fields and will a great professional help in terms of increasing your productivity as a programmer.

1. Students

This demographic will possible benefit the most from the course. Mathematics and CS student or anyone with a background and interest in the two subjects will find a whole new area to explore as a possible research or career option, not to mention an important learning experience.

Besides these, anybody with an interest and a will to commit to the course can take up this course and find ways to apply the learning.

For any query call/miss call-

Mob-+918587999769

Section 1 Introduction

1              Basic Correlation Techniques

2              More on Basic Correlation Techniques

3              CT Implementation Using Minitab

4              Continue on Implementation using Minitab

5              Interpretation of Correlation Values

Section 2 Implementation using Minitab

6              Results for Return

7              Correlation Values – Observations

8              Correlation Values – Interpretations

9              Heart Beat – Objective

10           Heart Beat – Interpretation

11           Demographics and Living Standards

12           Demographics and Living Standards – Observation

13           Graphical Implementation

14           Add Regression Fit

15           Scatterplot with Regression

16           Scatterplot of Rhdeq vs Rhcap

Here is a sample for the course completion certificate which you will receive after complete the course. This certificate is widely accepted across industries and will boost your chances to grab the job opportunities.

Mail us at: [email protected] with below details to receive your certificate:

• Name
• Course Name
• Date of Completion
• Address

Course Certificate:-