Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasetsKey FeaturesExplore a variety of statistical techniques to analyze your dataIntegrate your SQL pipelines with other analytics technologiesPerform advanced analytics such as geospatial and text analysisBook DescriptionUnderstanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don't know how to use it to gain the most effective business insights from data, this book is for you. SQL for Data Analytics helps you build the skills to move beyond basic SQL and instead learn to spot patterns and explain the logic hidden in data. You'll discover how to explore and understand data by identifying trends and unlocking deeper insights. You'll also gain experience working with different types of data in SQL, including time-series, geospatial, and text data. Finally, you'll learn how to increase your productivity with the help of profiling and automation. By the end of this book, you'll be able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of an analytics professional. Please note: if you are having difficulty loading the sample datasets, there are new instructions uploaded to the GitHub repository. The link to the GitHub repository can be found in the book's preface. What you will learnPerform advanced statistical calculations using the WINDOW functionUse SQL queries and subqueries to prepare data for analysisImport and export data using a text file and psqlApply special SQL clauses and functions to generate descriptive statisticsAnalyze special data types in SQL, including geospatial data and time dataOptimize queries to improve their performance for faster resultsDebug queries that won’t runUse SQL to summarize and identify patterns in dataWho this book is forIf you’re a database engineer looking to transition into analytics, or a backend engineer who wants to develop a deeper understanding of production data, you will find this book useful. This book is also ideal for data scientists or business analysts who want to improve their data analytics skills using SQL. Knowledge of basic SQL and database concepts will aid in understanding the concepts covered in this book. Table of ContentsUnderstanding and Describing DataThe Basics of SQL for AnalyticsSQL for Data PreparationAggregate Functions for Data AnalysisWindow Functions for Data AnalysisImporting and Exporting DataAnalytics Using Complex Data TypesPerformant SQLUsing SQL to Uncover the Truth - A Case Study
Details e-book SQL for Data Analytics
🗸 Author(s): Matt Goldwasser
🗸 Title: SQL for Data Analytics: Perform fast and efficient data analysis with the power of SQL
🗸 Rating : 4.4 from 5 stars (218 reviews)
🗸 Languange: English
🗸 Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
🗸 Supported Devices: Android, iOS, PC and Amazon Kindle
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