Advance Analytics with Excel - data analysis toolpak/ Solver

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

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" .

More Info