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Data Analysis for Business Decisions
Data Analysis for Business Decisions

Data Analysis for Business Decisions: A Laboratory Manual

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Profile Icon Mercury Learning and Information Profile Icon Andres Fortino
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$49.99
eBook Jul 2024 180 pages 1st Edition
eBook
$49.99
Arrow left icon
Profile Icon Mercury Learning and Information Profile Icon Andres Fortino
Arrow right icon
$49.99
eBook Jul 2024 180 pages 1st Edition
eBook
$49.99
eBook
$49.99

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Key benefits

  • Practical case studies for hands-on learning.
  • Detailed guidance on using Excel's Analysis ToolPak.
  • Comprehensive coverage of statistical and analytical techniques.

Description

This manual is for business analysts to enhance their statistical analysis skills, with case studies focusing mainly on Excel. It covers basic descriptive techniques, linear regression, forecasting, t-Test, chi-square, A/B testing, text data analysis, and Big Data management. Companion files include solution spreadsheets, sample files, and data sets. The course starts with data shaping and cleaning, installing the Analysis ToolPak, and descriptive statistics. It progresses through histograms, scatter plots, Pareto analysis, correlation, linear and multivariate regression, and forecasting. Advanced topics include inferential statistics, contingency analysis, and A/B testing. The final chapters cover text analytics, big data sets, and data visualization. These techniques are crucial for informed business decisions. This book guides users from basic to advanced analysis, blending theory with practical skills. Companion files enhance learning, making this manual essential for mastering statistical analysis in business.

Who is this book for?

Ideal for business professionals, data analysts, and students aiming to enhance their data analysis skills. Basic knowledge of statistics and familiarity with Excel are recommended.

What you will learn

  • Clean and shape data sets effectively.
  • Install and utilize the Analysis ToolPak in Excel.
  • Apply descriptive and inferential statistical methods.
  • Create and interpret visual data representations.
  • Perform advanced regression and forecasting analyses.
  • Conduct A/B testing and text analytics.

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 29, 2024
Length: 180 pages
Edition : 1st
Language : English
ISBN-13 : 9781836647942
Category :
Concepts :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning

Product Details

Publication date : Jul 29, 2024
Length: 180 pages
Edition : 1st
Language : English
ISBN-13 : 9781836647942
Category :
Concepts :

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Table of Contents

17 Chapters
Chapter 1 Shaping and Cleaning Data Chevron down icon Chevron up icon
Chapter 2 Installing the Analysis Toolpak Chevron down icon Chevron up icon
Chapter 3 Descriptive Statistics Chevron down icon Chevron up icon
Chapter 4 Histograms Chevron down icon Chevron up icon
Chapter 5 Pareto Analysis Chevron down icon Chevron up icon
Chapter 6 Scatter Plots Chevron down icon Chevron up icon
Chapter 7 Correlation and Linear Regression Chevron down icon Chevron up icon
Chapter 8 Multivariate Regression Chevron down icon Chevron up icon
Chapter 9 Forecasting and Time Series Chevron down icon Chevron up icon
Chapter 10 Inferential Statistics Chevron down icon Chevron up icon
Chapter 11 Contingency Analysis Chevron down icon Chevron up icon
Chapter 12 A/B Testing Chevron down icon Chevron up icon
Chapter 13 Text Analytics Chevron down icon Chevron up icon
Chapter 14 Analyzing Big Data Sets Chevron down icon Chevron up icon
Chapter 15 Data Visualization Chevron down icon Chevron up icon
Chapter 15 Data Visualization
The Case
The Analysis Template
Analysis Case 15.1 – Story
Create a Visual Story − Is the point of the visual very clear?
Make It a Prop − Has the visual has been simplified and focused?
Emulate Legendary Storytellers − Are past masters and the basic charts that they pioneered emulated?
Case Analysis
Analysis Case 15.2 – Signs
Give Them a Sign − Is the use of signs and symbols appropriate?
It’s Like a Communication System − Is the signal-to-noise ratio high?
Design for Function − Is the chart functionally informational rather than beautiful art?
Case Analysis
Analysis Case 15.3 – Purpose
Consider the Information Need – Does the chart fulfill organizational information needs?
Consider the Audience – Does the chart allow for audience biases, needs, and journeys?
Answer Well-Framed Analytical Questions – Does the visual answer a well-framed analytical question?
Case Analysis
Analysis Case 15.4 – Perception
Use the Eye-Brain System of Seeing – Does the eye of the viewer focus on the most important point being made?
Employ the Gestalt Principles of Perception – Have the principles of the Gestalt psychology of perception been thoughtfully employed in the visual?
Design with Quality – Does the visual inform the viewer and dispel his ignorance?
Case Analysis
Analysis Case 15.5 – Method
Use Color Effectively – Is color used judiciously and sparsely?
Remove All Chart Junk – Is the visual is clear of unnecessary visual elements not leading to a clear point being made?
Tell the Story with the Title – Does the title of the chart convey the point being made with the chart?
Case Analysis
Analysis Case 15.6 – Charts
Use the Right Chart – Does the type of chart being used match the level of judgment required?
Select the Chart Type Effectively – Does the chart type used match the business question being answered?
Enhance Table Data for Emphasis – Are referenceable visuals (tables) readable with appropriate conditional formatting and thumbnail graphs used for emphasis?
Case Analysis
Analysis Case 15.7 – Putting It All Together
A Possible Solution
Chapter 16 Summary of Analysis Techniques Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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