The Applied SQL Data Analytics Workshop: Build and manage large-scale data applications with SQL, 3rd Edition

English | 2020 | ISBN: 978-1800560727 | 580 Pages | PDF, EPUB | 138 MB

Take a step-by-step approach to learning SQL data analysis in this interactive workshop that uses fun exercises and activities to make learning data analytics for beginners easy and approachable.
Every day, businesses operate around the clock and a huge amount of data is generated at a rapid pace. Hidden in this data are key patterns and behaviors that can help you and your business understand your customers at a deep, fundamental level. Are you ready to enter the exciting world of data analytics and unlock these useful insights?
Written by a team of expert data scientists who have used their data analytics skills to transform businesses of all shapes and sizes, The Applied SQL Data Analytics Workshop is a great way to get started with data analysis, showing you how to effectively sieve and process information from raw data, even without any prior experience.
The book begins by showing you how to form hypotheses and generate descriptive statistics that can provide key insights into your existing data. As you progress, you’ll learn how to write SQL queries to aggregate, calculate and combine SQL data from sources outside of your current dataset. You’ll also discover how to work with different data types, like JSON. By exploring advanced techniques, such as geospatial analysis and text analysis, you’ll finally be able to understand your business at a deeper level. Finally, the book lets you in on the secret to getting information faster and more effectively by using advanced techniques like profiling and automation.
By the end of The Applied SQL Data Analytics Workshop, you’ll have the skills you need to start identifying patterns and unlocking insights in your own data. You will be capable of looking and assessing data with the critical eye of a skilled data analyst.
What you will learn

• Understand what data analytics is and why it is important
• Experiment with data analytics using basic and advanced queries
• Interpret data through descriptive statistics and aggregate functions
• Export data from external sources using powerful SQL queries
• Work with and manipulate data using SQL joins and constraints
• Speed up your data analysis workflow by automating tasks and optimizing queries