Data Forecasting and Segmentation Using Microsoft Excel is popular PDF and ePub book, written by Fernando Roque in 2022-05-27, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Data Forecasting and Segmentation Using Microsoft Excel can be Read Online from any device for your convenience.

Data Forecasting and Segmentation Using Microsoft Excel Book PDF Summary

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.

Detail Book of Data Forecasting and Segmentation Using Microsoft Excel PDF

Data Forecasting and Segmentation Using Microsoft Excel
  • Author : Fernando Roque
  • Release : 27 May 2022
  • Publisher : Packt Publishing Ltd
  • ISBN : 9781803235264
  • Genre : Computers
  • Total Page : 325 pages
  • Language : English
  • PDF File Size : 18,6 Mb

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