Khan, Arshad

Business Intelligence and Data Analysis in the Age of AI

Campesato, Oswald

Beginning Python 3 with Claude 3

Fortino, Andres

Case Studies in Excel, R, and ChatGPT

Data Analysis for Business Decisions

Zherlitsyn, Dmytro

Financial Data Analysis Using Python

A Prompt-based Exploration of LLMs

Large Language Models for Developers

Beginning Python 3 with Grok 2

Herman, Erik

Using Analytics and Case Studies

Data Science for Decision Makers

Goralski, Walter

Understanding AI, IoT, 6G and The Infrastructure Revolution

Erik, Herman L.

Theory, Applications and Ethics

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CAMPESATO, OSWALD

CSS3 and SVG with Meta AI

A Laboratory Manual

Frontmatter

Contents

Preface

Chapter 1 Shaping and Cleaning Data

Chapter 2 Installing the Analysis ToolPak

Chapter 3 Descriptive Statistics

Chapter 4 Histograms

Chapter 5 Pareto Analysis

Chapter 6 Scatter Plots

Chapter 7 Correlation and Linear Regression

Chapter 8 Multivariate Regression

Chapter 9 Forecasting and Time Series

Chapter 10 Inferential Statistics

Chapter 11 Contingency Analysis

Chapter 12 A/B Testing

Chapter 13 Text Analytics

Chapter 14 Analyzing Big Data Sets

Chapter 15 Data Visualization

Chapter 16 Summary of Analysis Techniques

Index

CompanionFiles.zip

This laboratory manual is intended for business analysts who wish to increase their skills in the use of statistical analysis to support business decisions. Most of the case studies use Excel, today's most common analysis tool. They range from the most basic descriptive analytical techniques to more advanced techniques such as linear regression and forecasting. Advanced projects cover inferential statistics for continuous variables (t-Test) and categorical variables (chi-square), as well as A/B testing.

This laboratory manual is intended for business analysts who wish to increase their skills in the use of statistical analysis to support business decisions....

Format

Data Analysis for Business Decisions

A Laboratory Manual

Andres Fortino

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