# Advance Analytics with Excel - data analysis toolpak/ Solver

Analytics using Excel. How to use Data Analysis tools (toolpak add-in) for statistics / solver for linear optimization
4.0 (21 ratings) 320 students enrolled
\$20
• Lectures 25
• Length 2.5 hours
• Skill Level Expert Level
• Languages English
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Available on iOS and Android
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Published 10/2014 English

### Course Description

What is this course all about?

1. This course demonstrates how to use "Data Analysis ToolPak".
2. It explains the business scenario and then shows application of statistical procedure using data analysis tool pack on the given data.
3. The course also shows how to use Goal Seek and Solver (to solve linear optimization problems)
4. 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

1. Numeric data Analysis
2. Categorical data Analysis
3. Chi square test of independence
4. Simple Linear regression / Multiple linear regression
5. F test for equality of variances
6. T- Test for Comparing two sample means
7. Pair t test
8. ANOVA – single factor
9. ANOVA – two factor with / without replication
10. Generating random numbers with uniform / normal / poison distr.
11. Rank and Percentile
12. Histogram and pareto charts
13. Goal seek
14. Linear programming problem - Solver example

Why Take this course

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

### What are the requirements?

• Basic usage of Excel

### What am I going to get from this course?

• 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

### Who is the target audience?

• 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" .

### What you get with this course?

Not for you? No problem.
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Desktop, iOS and Android.

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Certificate of completion.

# Curriculum

Section 1: Statistical Analysis
Course Content
02:39
Descriptive Statistics for Numerical Data Analysis
08:59
Excel files - where they are?
02:39
Interpret Descriptive statistics output
15:09
Pivot Table Analysis - count and percentage for each distinct category
05:06
Category wise Numeric data analysis using Pivot table
05:07
Cross tab Analysis
04:33
Chi Square Test of independence
15:02
Simple Linear Regression
11:07
Multiple Linear Regression
09:19
Comparing Two Sample Variances
06:13
Comparing Two Sample Means
06:20
Pair T Test
06:57
One Factor (One Way) ANOVA
04:47
Two Factor ANOVA without replication
03:43
Two Factor ANOVA with replication
05:37
Generating Random Numbers, which has Normal / Poison / Uniform etc. Distribution
06:07
Rank and Percentile calculation
03:55
Histogram Procedure and Getting Pareto Chart
06:45
Exponential Smoothing and Moving Average
05:17
Random Sampling, Co-variance and Correlation procedure
06:29
Section 2: Using Goal Seek
Goal Seek Example
02:49
Section 3: Solving Linear Optimization Problems using Excel Solver
Example 1 - using solver for linear programming case
06:51
Example 2 - using solver for linear programming case
08:41
2 pages