Data Analytics: SQL for newbs, beginners and marketers

In this course, SQL for marketers, we’ll start from the basics – installing SQL onto your Mac, Linux, or Windows machine and explaining what a relational database is. Next, we’ll look at basic tasks like creating tables and loading data into those tables. We will look at a wide variety of SQL commands and I will show you how to speed things up using indexes.

By end of this course you will learn about Advanced SQL queries on Spark, the big data framework that is the successor to MapReduce and also runs on top of Hadoop.

Participant will learn to:

• Know how to answer all of their marketing-related questions using a SQL query
• Understand what a relational database is
• How to install SQL on Mac, Linux, or Windows
• How to create a table
• How to import data into a table
• How to query a table
• How to insert into, update, and delete from a table
• Speed things up using indexes
• Join tables together to merge data
• Aggregate data using count, sum, and average
• Determine where in the sales funnel customers are being lost
• Chart your year over year revenue
• Group and sort sales by location
• Use SQL on Spark
• Install Spark
• Create a Spark cluster on AWS EC2

This course is intended for professionals who want to learn SQL from a practical, marketing and business analytics perspective, including:

• Marketing Analysts and Digital Marketing Professionals
• Product Managers and Growth Managers
• Business Analysts and Data Analysts
• Sales Analysts and Revenue Optimization Teams
• Professionals making data-driven marketing decisions
• Beginners in SQL who want real-world business applications
• Anyone interested in analyzing customer behavior, funnels, and revenue data
• Professionals looking to expand into Big Data and Spark SQL