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Advance Analytics with Excel – data analysis toolpak/ Solver

Business

Rating4.5
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Advance Analytics with Excel – data analysis toolpak/ Solver, available at $59.99, has an average rating of 4.46, with 28 lectures, based on 1215 reviews, and has 5996 subscribers.

You will learn about 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 This course is ideal for individuals who are This course is for professionals who quickly want to learn statistical analysis / data analysis procedure / solver usage for getting solution of linear programming cases or 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" . It is particularly useful 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 or 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" .

Enroll now: Advance Analytics with Excel – data analysis toolpak/ Solver

Summary

Title: Advance Analytics with Excel – data analysis toolpak/ Solver

Price: $59.99

Average Rating: 4.46

Number of Lectures: 28

Number of Published Lectures: 28

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 28

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

  • 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" .

Target Audiences

  • 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 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.

Course Curriculum

Chapter 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

Chapter 2: Using Goal Seek

Lecture 1: Goal Seek Example

Lecture 2: Solving a puzzle using Goal Seek

Chapter 3: Solving Linear Optimization Problems using Excel Solver

Lecture 1: Example 1 – using solver for linear programming case

Lecture 2: Example 2 – using solver for linear programming case

Lecture 3: How to download Excel files

Instructors

Rating Distribution

  • 1 stars: 15 votes
  • 2 stars: 21 votes
  • 3 stars: 186 votes
  • 4 stars: 462 votes
  • 5 stars: 531 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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