Data Analysis Statistical Optimization Using Ms Excel

Advanced data analysis in excel: Data Analysis tools (toolpak add-in) for statistics / solver for linear optimization

Last updated 2022-01-10 | 4.4

- Perform Data Analysis / Statistical Analysis using Excel
- Be comfortable with data analysis tool pack / solver / goal seek
- Understand the business context / scenario where the statistical procedure is applicable

What you'll learn

Perform Data Analysis / Statistical Analysis using Excel

Be comfortable with data analysis tool pack / solver / goal seek

Understand the business context / scenario where the statistical procedure is applicable

Understand the most important portion of statistical procedure output and how to interpret it for a given scenario

Know how to solve linear programming cases using solver

* Requirements

* Basic usage of Excel

Description

What is this course all about?

This course demonstrates how to use "Data Analysis ToolPak".
It explains the business scenario and then shows application of statistical procedure using data analysis tool pack on the given data.
The course also shows how to use Goal Seek and Solver (to solve linear optimization problems)
It gives clue about what is the most important portion of statistical procedure output and how to interpret it with respect to problem at hand.

Tags

Statistical Analysis using Excel
Linear optimization using Excel
Data Analysis toolpak (Excel Add-in)
Statistical Analysis case studies
Data Analysis examples
Data analysis using Excel

What Kind of Material is included

All the excel files that has been used in videos are available to download.
These excel contains data files, so that students can practice it on their own.

How long it should take to complete the course

It should take roughly 10 hours to practice and master all the procedure.

How is the course structured

The course first explains a business context and the data. Then it demonstrates how to use statistical procedure using data analysis tool pack. It Also explains how to solve linear programming problem using solver. It demonstrates how th use goal seek. The content of the course will be

Numeric data Analysis
Categorical data Analysis
Chi square test of independence
Simple Linear regression / Multiple linear regression
F test for equality of variances
T- Test for Comparing two sample means
Pair t test
ANOVA – single factor
ANOVA – two factor with / without replication
Generating random numbers with uniform / normal / poison distr.
Rank and Percentile
Histogram and pareto charts
Goal seek
Linear programming problem - Solver example

Why Take this course

To quickly understand how to perform statistical analysis using excel.
The understand, which are the most important portion of statistical procedure output and how to interpret it for a given context.
To understand the process of formulating linear programming cases in solver and getting solution.

Who this course is for:

This course is for professionals who quickly want to learn statistical analysis / data analysis procedure / solver usage for getting solution of linear programming cases
This course is not for someone, who is looking to get deep understanding of statistics / genesis of formula etc. For that I will recommend you to check my course "Statistics by Example" .