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
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  • Lectures 25
  • Length 2.5 hours
  • Skill Level Expert Level
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

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.


  • 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.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.


Section 1: Statistical Analysis
Course Content
Descriptive Statistics for Numerical Data Analysis
Excel files - where they are?
Interpret Descriptive statistics output
Pivot Table Analysis - count and percentage for each distinct category
Category wise Numeric data analysis using Pivot table
Cross tab Analysis
Chi Square Test of independence
Simple Linear Regression
Multiple Linear Regression
Comparing Two Sample Variances
Comparing Two Sample Means
Pair T Test
One Factor (One Way) ANOVA
Two Factor ANOVA without replication
Two Factor ANOVA with replication
Generating Random Numbers, which has Normal / Poison / Uniform etc. Distribution
Rank and Percentile calculation
Histogram Procedure and Getting Pareto Chart
Exponential Smoothing and Moving Average
Random Sampling, Co-variance and Correlation procedure
Section 2: Using Goal Seek
Goal Seek Example
Section 3: Solving Linear Optimization Problems using Excel Solver
Example 1 - using solver for linear programming case
Example 2 - using solver for linear programming case
How to download Excel files
2 pages

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Instructor Biography

Gopal Prasad Malakar, Credit Card Analytics Professional - Trains on Data Mining

I am a seasoned Analytics professional with 15+ years of professional experience. I have industry experience of impactful and actionable analytics. I am a keen trainer, who believes that training is all about making users understand the concepts. If students remain confused after the training, the training is useless. I ensure that after my training, students (or partcipants) are crystal clear on how to use the learning in their business scenarios. My expertise is in Credit Card Business, Scoring (econometrics based model development), score management, loss forecasting and MS access based database application development.

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