You're reading from Data Wrangling with SQL

Product typeBook

Published inJul 2023

PublisherPackt

ISBN-139781837630028

Edition1st Edition

Concepts

Data Engineering

Authors (2):

Raghav Kandarpa

Shivangi Saxena

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Forecasting with linear regression

Forecasting with linear regression in SQL is useful because it allows us to make predictions about future values based on historical data and other relevant factors. By using SQL to build and analyze these models, we can gain insights into how different factors affect our business and make more informed decisions about how to allocate resources and plan for the future.

Some of the benefits of using linear regression for forecasting in SQL include the following:

Simplicity: Linear regression is a simple and widely used technique for predicting future values. By using SQL to build and analyze these models, we can easily incorporate data from different sources and perform calculations that might be difficult or time-consuming in other software.
Flexibility: Linear regression can be used to predict a wide range of values, including sales, website traffic, customer engagement, and more. By using SQL to build and analyze these models, we...

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Data Wrangling with SQL

Published in: Jul 2023Publisher: PacktISBN-13: 9781837630028

Authors (2)

Raghav Kandarpa

Raghav Kandarpa is an experienced Data Scientist in Finance and logistics industry with expertise in SQL, Python, Building Machine Learning Models, Financial Data Modelling, and Statistical Analysis. He holds a Masters' degree in Business Analytics specializing in Data Science from the University of Texas at Dallas.
Read more about Raghav Kandarpa

Shivangi Saxena

Shivangi Saxena is an experienced BI Engineer with proficiency in SQL, Data Visualization, and Statistical Analysis. She holds a master's degree in Information Technology and Management from the University of Texas at Dallas. She has several years of experience building several BI tools and products using SQL and BI reporting tools which has helped stakeholders to get visibility to the right data points
Read more about Shivangi Saxena

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Forecasting with linear regression

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