Use SQL to summarize and identify patterns in dataApply special SQL clauses and functions to generate descriptive statisticsUse SQL queries and subqueries to prepare data for analysisPerform advanced statistical calculations using the window functionAnalyze special data types in SQL, including geospatial data and time dataImport and export data using a text file and PostgreSQLDebug queries that won't runOptimize queries to improve their performance for faster results
Understanding 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 business insights from data, this book is for you.
SQL for Data Analytics covers everything you need progress from simply knowing basic SQL to telling stories and identifying trends in data. You’ll be able to start exploring your data by identifying patterns 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 understand how to become productive with SQL with the help of profiling and automation to gain insights faster.
By the end of the book, you’ll able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of analytics professional.
Explore a variety of statistical techniques to analyze your dataIntegrate your SQL pipelines with other analytics technologiesPerform advanced analytics such as geospatial and text analysis
