SQL for Data Analytics

(SQL-DA.AJ1) / ISBN: 978-1-64459-222-9
This course includes
Lessons
TestPrep
Lab
Mentoring (Add-on)
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SQL for Data Analytics

Gain hands-on expertise to work with SQL for Data science with the SQL for Data Analytics course and lab. Lab simulates real-world, hardware, software, and command-line interface environments and can be mapped to any textbook, course, or training. The SQL course and lab will teach everything from the basics of SQL for Analytics to SQL for Data preparation, aggregate functions for Data analysis, importing and exporting data; analytics using complex data types, and more.
Here's what you will get

Lessons
  • 10+ Lessons
  • 60+ Quizzes
  • 40+ Flashcards
  • 40+ Glossary of terms
TestPrep
  • 55+ Pre Assessment Questions
  • 55+ Post Assessment Questions
Lab
  • 36+ Performance lab
Here's what you will learn
Download Course Outline
  • Introduction
  • The World of Data
  • Methods of Descriptive Statistics
  • Statistical Significance Testing
  • Summary
  • Introduction
  • Relational Databases and SQL
  • Basic Data Types of SQL
  • Reading Tables: The SELECT Query
  • Creating Tables
  • Updating Tables
  • Deleting Data and Tables
  • SQL and Analytics
  • Summary
  • Introduction
  • Assembling Data
  • Transforming Data
  • Summary
  • Introduction
  • Aggregate Functions
  • Aggregate Functions with GROUP BY
  • The HAVING Clause
  • Using Aggregates to Clean Data and Examine Data Quality
  • Summary
  • Introduction
  • Window Functions
  • Statistics with Window Functions
  • Summary
  • Introduction
  • The COPY Command
  • Using R with Our Database
  • Using Python with Our Database
  • Best Practices for Importing and Exporting Data
  • Summary
  • Introduction
  • Date and Time Data Types for Analysis
  • Performing Geospatial Analysis in Postgres
  • Using Array Data Types in Postgres
  • Using JSON Data Types in Postgres
  • Text Analytics Using Postgres
  • Summary
  • Introduction
  • Database Scanning Methods
  • Performant Joins
  • Functions and Triggers
  • Summary
  • Introduction
  • Case Study
  • Summary
  • Installing pgAdmin 4

Hands on Activities (Performance Labs)

  • Using the ORDER BY Clause
  • Using the SELECT Statement
  • Using the WHERE Clause
  • Using the AND Clause
  • Using the NOT IN Clause
  • Using the LIMIT Clause
  • Using the CREATE TABLE Statement
  • Using the INSERT INTO…VALUES Statement
  • Using the UPDATE Statement
  • Adding a Column to a Table
  • Using the DROP TABLE Statement
  • Using the DELETE Statement
  • Using the Cross Join
  • Using the Inner Join
  • Using the Left Outer Join
  • Using the Right Outer Join
  • Using the DISTINCT Keyword
  • Using the CASE WHEN Statement
  • Using the AVG Function
  • Using the COUNT Function
  • Using the GROUP BY Clause
  • Using the HAVING Clause
  • Using the PARTITION BY Clause
  • Using the COPY Command
  • Using the INTERVAL Keyword
  • Using the EXTRACT Keyword
  • Using the now() Function
  • Understanding the current date Keyword
  • Using the STRING_TO_ARRAY Function
  • Using the REGEXP_REPLACE Function
  • Using the row_to_json Function
  • Using the ARRAY_TO_STRING Function
  • Using the DROP INDEX Command
  • Using the CREATE INDEX Command
  • Using the EXPLAIN Command
  • Creating an Index on a Column of a Table of a Database
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