# 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

4.3/5

## Advance Analytics with Excel data analysis toolpak Solver

### 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.

### Overview

Section 1: Statistical Analysis

Lecture 1 Course Content

Lecture 2 Descriptive Statistics for Numerical Data Analysis

Lecture 3 Excel files – where they are?

Lecture 4 Interpret Descriptive statistics output

Lecture 5 Pivot Table Analysis – count and percentage for each distinct category

Lecture 6 Additional Topic – Creating BI kind of dashboard using Excel Pivot table part 01

Lecture 7 Additional Topic – Creating BI kind of dashboard using Excel Pivot table part 02

Lecture 8 Category wise Numeric data analysis using Pivot table

Lecture 9 Cross tab Analysis

Lecture 10 Chi Square Test of independence

Lecture 11 Simple Linear Regression

Lecture 12 Multiple Linear Regression

Lecture 13 Comparing Two Sample Variances

Lecture 14 Comparing Two Sample Means

Lecture 15 Pair T Test

Lecture 16 One Factor (One Way) ANOVA

Lecture 17 Two Factor ANOVA without replication

Lecture 18 Two Factor ANOVA with replication

Lecture 19 Generating Random Numbers, which has Normal / Poison / Uniform etc. Distribution

Lecture 20 Rank and Percentile calculation

Lecture 21 Histogram Procedure and Getting Pareto Chart

Lecture 22 Exponential Smoothing and Moving Average

Lecture 23 Random Sampling, Co-variance and Correlation procedure

Section 2: Using Goal Seek

Lecture 24 Goal Seek Example

Lecture 25 Solving a puzzle using Goal Seek

Section 3: Solving Linear Optimization Problems using Excel Solver

Lecture 26 Example 1 – using solver for linear programming case

Lecture 27 Example 2 – using solver for linear programming case