It is next to impossible to analyze data in SQL. 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.
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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.
This course is part of Module 2 of the 365 Data Science Program. The complete training consists of four modules, each building upon your knowledge from the previous one. In contrast to the introductory nature of Module 1, Module 2 is designed to tackle all aspects of programming for data science. You will learn how to work with relational databases and SQL, as well as how to code in Python and R. By the end of this Module, you will have a versatile programming skill set.See All Modules
Real-life project and data. Solve them on your own computer as you would in the office.
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The course is in-depth and is delivered at a steady pace with eye catching visuals. The instructors go through all the basics really well. They try not to over-simplify the material, you get a good sense аof how deep Data Science is in the course. Great job!!!
This course is amazing! After watching the video carefully and doing all the exercises, I am even capable of having discussions with Machine learning major Master’s students! High standard course with reasonable pricing.
Very clear and in-depth explanation of data science and how all the inter-related concepts apply in real life business environment. Absolutely great for beginners! Best data science course I have come across so far!
I would highly recommend the course to any beginner who wants to venture into the world of Data Science. The concepts are very well explained and there is an emphasis on practical application which really helps create a better understanding of the concepts.