Items related to Data Forecasting and Segmentation Using Microsoft Excel:...
Data Forecasting and Segmentation Using Microsoft Excel: Perform data grouping, linear predictions, and time series machine learning statistics without using code - Softcover
Synopsis
Perform time series forecasts, linear prediction, and data segmentation with no-code Excel machine learning
Purchase of the print or Kindle book includes a free PDF eBook
What’s inside
- Techniques to segment data, perform regression predictions, and time series forecasts without writing any code
- A guide to grouping multiple variables with K-means using Excel plugin without programming
- Easy-to-follow instructions on building, validating, and predicting with a multiple linear regression model and time series forecasts
You’ll get the most out of this book if
- You're a data analyst, a business analyst, or a data science professional
- You work in MIS, finance, or auditing and have a solid grasp on MS Excel
What your journey will look like
This book guides you through basic statistics to test whether your data can be used to perform regression predictions and time series forecasts. The exercises 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 to find segments of your data that are impossible to see with other analyses. 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, you'll be able to use the classification algorithm to group data with different variable and train linear and time series models to perform predictions and forecasts based on past data.
Some of the things you’ll learn from this book
- The importance of machine learning for classifying data segmentation
- How to perform basic statistics tests for regression variable dependency
- Test time series autocorrelation to build a useful forecast
- Using Excel add-ins to run K-means without programming
- Segment outlier analysis for possible data anomalies and fraud
- Building, training, and validating multiple regression models and time series forecasts
Table of Contents
- Understanding Data Segmentation
- Applying Linear Regression
- What is Time Series?
- An Introduction to Data Grouping
- Finding the Optimal Number of Single Variable Groups
- Finding the Optimal Number of Multi-Variable Groups
- Analyzing Outliers for Data Anomalies
- Finding the Relationship between Variables
- Building, Training, and Validating a Linear Model
- Building, Training, and Validating a Multiple Regression Model
- Testing Data for Time Series Compliance
- Working with Time Series Using the Centered Moving Average and a Trending Component
- Training, Validating, and Running the Model
"synopsis" may belong to another edition of this title.
About the Author
Fernando Roque has 24 years of experience working with statistics for quality control and financial risk assessment of projects since planning, budgeting, and execution. Fernando works applying python k-means and time-series machine-learning algorithms using vegetable activity (NDVI) drones’ images to find the crop´s region with more resilience to droughts. He also applies time-series and k-means for supply chain management (logistics) and inventory planning for seasonal demand.
"About this title" may belong to another edition of this title.
Search results for Data Forecasting and Segmentation Using Microsoft Excel:...
Stock Image
Data Forecasting and Segmentation Using Microsoft Excel: Perform data grouping, linear predictions, and time series machine learning statistics without using code
Published by
Packt Publishing (edition ), 2022
ISBN 10: 1803247738
ISBN 13: 9781803247731
Used
Paperback
Seller: BooksRun, Philadelphia, PA, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. Seller Inventory # 1803247738-11-1
Quantity: 1 available
Seller Image
Data Forecasting and Segmentation Using Microsoft Excel: Perform data grouping, linear predictions, and time series machine learning statistics without using code
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Seller rating 4 out of 5 stars
Condition: very_good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in very good condition! The cover and any other included accessories are also in very good condition showing some minor use. The spine is straight, there are no rips tears or creases on the cover or the pages. Seller Inventory # GWSVV.1803247738.VG
Quantity: 1 available
Stock Image
Data Forecasting and Segmentation Using Microsoft Excel: Perform data grouping, linear predictions, and time series machine learning statistics withou
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 44477139-n
Quantity: Over 20 available
Stock Image
Data Forecasting and Segmentation Using Microsoft Excel: Perform data grouping, linear predictions, and time series machine learning statistics without using code
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Mar2912160219953
Quantity: Over 20 available
Seller Image
Data Forecasting and Segmentation Using Microsoft Excel: Perform data grouping, linear predictions, and time series machine learning statistics withou (Paperback or Softback)
Published by
Packt Publishing 5/27/2022, 2022
ISBN 10: 1803247738
ISBN 13: 9781803247731
New
Paperback or Softback
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Seller rating 5 out of 5 stars
Paperback or Softback. Condition: New. Data Forecasting and Segmentation Using Microsoft Excel: Perform data grouping, linear predictions, and time series machine learning statistics withou 1.23. Book. Seller Inventory # BBS-9781803247731
Quantity: 5 available
Stock Image
Data Forecasting and Segmentation Using Microsoft Excel: Perform data grouping, linear predictions, and time series machine learning statistics without using code
Seller: California Books, Miami, FL, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # I-9781803247731
Quantity: Over 20 available
Stock Image
Data Forecasting and Segmentation Using Microsoft Excel: Perform data grouping, linear predictions, and time series machine learning statistics withou
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 44477139
Quantity: Over 20 available
Stock Image
Data Forecasting and Segmentation Using Microsoft Excel
Print on DemandSeller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9781803247731
Quantity: Over 20 available
Stock Image
Data Forecasting and Segmentation Using Microsoft Excel
Print on DemandSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9781803247731
Quantity: Over 20 available
Seller Image
Data Forecasting and Segmentation Using Microsoft Excel
Published by
Packt Publishing Limited, GB, 2022
ISBN 10: 1803247738
ISBN 13: 9781803247731
New
Paperback
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Seller rating 4 out of 5 stars
Paperback. Condition: New. Perform time series forecasts, linear prediction, and data segmentation with no-code Excel machine learningKey FeaturesSegment data, regression predictions, and time series forecasts without writing any codeGroup multiple variables with K-means using Excel plugin without programmingBuild, validate, and predict with a multiple linear regression model and time series forecastsBook DescriptionData 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 learnUnderstand why machine learning is important for classifying data segmentationFocus on basic statistics tests for regression variable dependencyTest time series autocorrelation to build a useful forecastUse Excel add-ins to run K-means without programmingAnalyze segment outliers for possible data anomalies and fraudBuild, train, and validate multiple regression models and time series forecastsWho this book is forThis 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. Seller Inventory # LU-9781803247731
Quantity: Over 20 available