
First step of learn SQL is to get familiar with the interface on where you will be writing SQL. This lecture teaches you exactly that.
First step of learn SQL is to get familiar with the interface on where you will be writing SQL. This lecture teaches you exactly that.
Before you can write SQL it is critical to understand what all is in the database. This lecture will help you with it.
In some environments such as Mac, you might not get Skila database by default. This lecture shows you how to add it so that you can follow along.
SELECT is the statement that you will end up using majority of the time. Learn how to write a SELECT statement to find the data that you are looking for.
Learn how to use WHERE clause to narrow down your data. Learn the usage of AND and OR operators to narrow down your result set.
This lecture will show you how to sort the result set to give you the order that you need.
You will learn how to use numeric and date values to narrow down your result set along with string values to get exactly the result set that you need. You will learn about =, >,<, >=, <= and between clauses.
Marketing database are full of erroneous data. This lecture will teach you how to fix the data issues when you find them.
Counting and summing are two common functions that Marketers need to do to identify their targets. Learn the syntax in this lecture.
You will learn how to join multiple tables and use of table alias.
Learn how to export the data from database into Excel for further manipulation
Learn how to connect the data to data visualization tools such as Tableau to create graphs and charts in Tableau.
Generally this is done by a DBA but it is good to know in case you have to create a new table.
Learn following advanced table manipulation commends
Many times the data is available in a csv file (comma separated values file) that needs to be imported in the database to combine it with other data or further manipulation. This lecture will show you how ti import that data into the database.
Learn how to export Microsoft Excel data to mySQL.
Cut the unnecessary jargon and learn SQL with MySQL in a simple and easy way.
Data is a critical part of any job these days. Having SQL skills will help you accomplish many of the data task that your job requires. Whether you are trying to add new skills to enhance your career or looking for a new job, this course will help you add a critical skill that many jobs and employers seek today. SQL skills help you succeed in a large number of careers that range from technical to business.
This course will teach you everything you need to start using SQL and practicing SQL with MySQL.
You don't need hours of lectures to learn SQL and MySQL, that's exactly how I approached this course. I synthesized the information so that it is quick and easy to understand.
In this course I have simplified the process without getting into all the complex technical speak out so that anybody can learn SQL. This course is designed to make each step very easy to understand. I used the same methods that I use to teach business analysts and marketing analysts in my own group.
The course should not take full day, you can learn during your work day and practice as you go.
This course uses MySQL but most of the commands can also be applied to SQL Server.
Note: This is a beginner level course. If you have prior knowledge of SQL than this course might serve as refresher but won't teach you many advanced concepts.
Why you should learn from me?
I have been in Digital Marketing and Analytics for over 15 years. I have trained people from diverse backgrounds and have converted them into high performing Digital Marketers and Analysts. I understand both the technology and marketing side of business. I have dealt with many analytics technologies way before Google Tag manager existed and know the inner working of Digital Analytics.
In addition, I have developed various course and taught students from all over the world. I am online instructor for University of British Columbia (Canada), University of Washington (USA), Bellevue College (USA) and Digital Analytics Association.