Data Forecasting and Segmentation Using Microsoft Excel

person icon Packt Publishing

Data Forecasting and Segmentation Using Microsoft Excel

Data Forecasting and Segmentation Using Microsoft Excel

person icon Fernando Roque

ebook icon Packt Publishing

language icon Language - English

updated on icon Updated on Jan, 2023

architecture icon Excel,Microsoft,Data & Analytics


This eBook includes

Formats : PDF (Read Only)

Pages : 324

ISBN : 9781803235264

Language : English

About the Book

Book description

Perform time series forecasts, linear prediction, and data segmentation with no-code Excel machine learning

Key Features

  • Segment data, regression predictions, and time series forecasts without writing any code
  • Group multiple variables with K-means using Excel plugin without programming
  • Build, validate, and predict with a multiple linear regression model and time series forecasts

Book Description

Data Forecasting and Segmentation Using Microsoft Excel guides you through basic statistics to test whether your data can be used to perform regression predictions and time series forecasts. The exercises covered in this book use real-life data from Kaggle, such as demand for seasonal air tickets and credit card fraud detection.

You’ll learn how to apply the grouping K-means algorithm, which helps you find segments of your data that are impossible to see with other analyses, such as business intelligence (BI) and pivot analysis. By analyzing groups returned by K-means, you’ll be able to detect outliers that could indicate possible fraud or a bad function in network packets.

By the end of this Microsoft Excel book, you’ll be able to use the classification algorithm to group data with different variables. You’ll also be able to train linear and time series models to perform predictions and forecasts based on past data.

What you will learn

  • Understand why machine learning is important for classifying data segmentation
  • Focus on basic statistics tests for regression variable dependency
  • Test time series autocorrelation to build a useful forecast
  • Use Excel add-ins to run K-means without programming
  • Analyze segment outliers for possible data anomalies and fraud
  • Build, train, and validate multiple regression models and time series forecasts

Who this book is for

This book is for data and business analysts as well as data science professionals. MIS, finance, and auditing professionals working with MS Excel will also find this book beneficial.

Data Forecasting and Segmentation Using Microsoft Excel

eBook Preview

Author Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

Our students work
with the Best

Related eBooks

View More

Annual Membership

Become a valued member of Tutorials Point and enjoy unlimited access to our vast library of top-rated Video Courses

Subscribe now
People having fun around a laptop

Online Certifications

Master prominent technologies at full length and become a valued certified professional.

Explore Now
People having fun around a laptop

Talk to us