A practical project after the basic "SQL" course, pretty familiar to me! Not only for more sql practices, but a good introduction to "Tableau" as well. Highly recommanded after finishing the basic "SQL" course!
This course will give you methods of using SQL and Tableau simultaneously, helping you find hidden value in your data faster than when using them separately.
This course will show you how to combine SQL and Tableau. The included use cases will help you discover professional methods for analyzing and visualizing your data appropriately.
In the introductory part of the course, we will talk about the lessons you will see next and discuss why a data scientist would want to be able to connect tools like SQL and Tableau. We will show you how to do the integration with Tableau Desktop, and we will provide you with a workaround in case you use Tableau Public.
In this section, we will continue to use the ‘employees’ database we worked with in a large part of our SQL training. By connecting Tableau and SQL, you will be able to visualize several trends related to the company’s gender gap situation.
Here, we will continue to explore the ‘employees_mod’ database and will run a sophisticated SQL query to answer the remaining questions in our task. The topic under investigation continues to be ‘gender gap’ policies.
Much like in Problem 2, here, in Problem 3, we will use SQL to extract a particular part of the 'employees_mod' database to respond to another business question related to exploring different statistics for the women and men in the company.
Problem 4 is an exercise that builds on your entire knowledge of SQL and Tableau. It takes you through solving a more challenging business task, using a more sophisticated SQL Code, and creating a different type of visualization in Tableau.
In this short section, we will show you how to gather your data in a well-organized dashboard and will show you how to add an interactive filter which makes analysis much quicker and intuitive.
“In this course, I will teach you how to combine two of the most massively used tools by data analysts and data scientists – SQL and Tableau. This will give you the invaluable know-how to solve diverse kinds of problems in business intelligence and analytics efficiently.”
Worked at the European Commission
SQL + Tableau
with Martin Ganchev