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Description

It is becoming ever more important that companies make
data-driven decisions
.
With
big data
and
data science
on the rise, we have more data than we know what to do with.
One of the basic languages of
data analytics
is SQL, which is used for many popular databases including
MySQL
,
Postgres
,
SQLite
,
Microsoft SQL Server
,
Oracle
, and even big data solutions like
Hive
and
Cassandra
.
I’m going to let you in on a little secret. Most high-level marketers and product managers at big tech companies know how to manipulate data to gain important insights. No longer do you have to wait around the entire day for some software engineer to answer your questions - now you can find the answers directly, by yourself, using SQL!
In this course,
The

Complete SQL Bootcamp for Data Science, Analytics, and Marketing
, 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
.
Once you know all the SQL commands we will start doing advanced examples - answering questions marketers and business people often have, like where are customers dropping off in our
sales funnel
? And which of our locations has the
highest revenue
?
In the last section, we'll do
Advanced SQL queries on Spark
, the
big data
framework that is the successor to
MapReduce
and also runs on top of
Hadoop
. I will teach you how to install Spark, create a cluster very quickly on
Amazon EC2
, and run SQL queries, allowing you to apply everything you learned up until this point in a big data environment.
Do you want to know how to optimize your sales funnel using SQL, look at the seasonal trends in your industry, and run a SQL query on Hadoop? Then join me now in my new class on SQL! Dominate data analytics, data science, and big data!
TIPS (for getting through the course):
Watch it at 2x to learn twice as fast!
Take handwritten notes. This will drastically increase your ability to retain the information.
Ask lots of questions on the discussion board. The more the better!
Write code yourself, don't just sit there and look at my code.
Who this course is for:
This course is for not only marketers but anyone who wants to be able to answer data-related questions on their own
Students who want a different approach to learning SQL
Professionals who are exposed to data but can't yet leverage its power
Developers who build web-applications but don't yet know how to use a database backend
Product managers who want to make data-driven decisions

What you'll learn

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 database table using SQL

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

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Why you should stop depending on engineers and learn SQL
2
1.1-Introduction and Outline
1.2-How to Succeed in this Course
2-Survey of SQL databases and Installation of SQLite
3
2.1-Overview of SQL databases
2.2-Installing SQLite on Mac, Linux, and Windows
2.3-Visual Walkthrough of Windows Installation
3-What is a relational database? Basic commands
9
3.1-What’s a relational database?
3.2-How to load the data used in this class
3.3-Basic commands
3.4-Querying a table
3.5-Creating a table
3.6-Importing Data on Windows
3.7-Modifying a table’s structure
3.8-Drop Columns
3.9-Suggestion Box
4-Indexes and speed comparison
2
4.1-Speeding things up with indexes
4.2-Index Example in the Console
5-Modifying a table's data
2
5.1-Insert / Update / Delete
5.2-What is CRUD?
6-Joining tables
2
6.1-Joining or Merging tables together
6.2-Joins in the console
7-Aggregating, grouping, and sorting. Real marketing queries.
3
7.1-Count, Distinct, Sum, Min, Max, Avg
7.2-Group by, Sort, Limit
7.3-Funnels, YOY revenue, and Sales by Location
8-Advanced: SQL on Spark (Optional)
2
8.1-Spark SQL
8.2-Create your own Spark cluster on Amazon EC2
9-Further Knowledge, Practice and Exercises
4
9.1-How to load the extra dataset (tab-separated tables)
9.2-The "IN" Keyword
9.3-The "BETWEEN" Keyword
9.4-Interview Question-Style Exercises
10-Appendix / FAQ
2
10.1-How to Succeed in this Course (Long Version)
10.2-BONUS