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Description
Last updated 1/2021
Duration: 2h50m | Video: .MP4, 1280×720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 1.35 GB
Genre: eLearning | Language: English
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” .
Homepage
https://www.udemy.com/course/data-analysis-statistical-optimization-using-ms-excel
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Shipping & Delivery
DIGITAL DELIVERY ONLY
This is digital product THE DOWNLOAD LINK SEND 12-24 HOURS AFTER UPON PURSUASE AND PAYMENT CLEARS"
- The digital files are uploaded on PCLOUD
- 12-24 hours delivery time
- the download links expire after 7 days and need to download them
- to renew the download link after expiration have one additional fee $5 per product
REQUESTS
Also we accept requests (in this page) and course exchanges
In Course exchanges we are sending credits only
The credits will be the same price as we can sell course
"REFUNDS & RETURNS"
No Refunds on digital product
ONLY EXCHANGE
- Because of the abuse of the refunds from many customers i don't accept refunds
- We accept only 1 time exchange with product of the same price
- if you done mistake on the exchangeable product i don't recognize it as your mistake
- Exchanges only 3 days after the payment of your digital product. (if abused again i will do it 1 day)
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