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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.
  • Price: $279.99
  • Delivery Method: eLearning
NameBuy
SQL for Data Analytics
Test Prep
55+ Pre Assessment Questions | 55+ Post Assessment Questions |
Features
37+ LiveLab | 00+ Minutes
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  • Get assistance every step of the way from our Texas-based team, ensuring your training experience is hassle-free and aligned with your goals.
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Outline

Lessons 1:
Understanding and Describing Data

  • Introduction
  • The World of Data
  • Methods of Descriptive Statistics
  • Statistical Significance Testing
  • Summary

Lessons 2:
The Basics of SQL for Analytics

  • 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

Lessons 3:
SQL for Data Preparation

  • Introduction
  • Assembling Data
  • Transforming Data
  • Summary

Lessons 4:
Aggregate Functions for Data Analysis

  • Introduction
  • Aggregate Functions
  • Aggregate Functions with GROUP BY
  • The HAVING Clause
  • Using Aggregates to Clean Data and Examine Data Quality
  • Summary

Lessons 5:
Window Functions for Data Analysis

  • Introduction
  • Window Functions
  • Statistics with Window Functions
  • Summary

Lessons 6:
Importing and Exporting Data

  • Introduction
  • The COPY Command
  • Using R with Our Database
  • Using Python with Our Database
  • Best Practices for Importing and Exporting Data
  • Summary

Lessons 7:
Analytics Using Complex Data Types

  • 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

Lessons 8:
Performant SQL

  • Introduction
  • Database Scanning Methods
  • Performant Joins
  • Functions and Triggers
  • Summary

Lessons 9:
Using SQL to Uncover the Truth – a Case Study

  • Introduction
  • Case Study
  • Summary

Appendix

  • Installing pgAdmin 4