MS-40565: Data Analytics with SQL Server 2019


In this course, you’ll learn to use Structured Query Language (SQL) to extract and analyze data stored in databases. You’ll first learn to extract data, join tables together, and perform aggregations. Then you’ll learn to do more complex analysis and manipulations using subqueries, temp tables, and window functions. By the end of the course, you’ll be able to write efficient SQL queries to successfully handle a variety of data analysis tasks.



This workshop is intended for database managers and IT professionals who have architectural expertise of infrastructure and solutions design in database technologies. 


This course is designed for people who want to answer questions with data. For many, SQL is the “meat and potatoes” of data analysis—it’s used for accessing, cleaning, and analyzing data that’s stored in databases. It’s very easy to learn, yet it’s employed by the world’s largest companies to solve incredibly challenging problems.

Skills Gained

After completing this course, students will be able to:
• Use SQL to apply complex criteria and transformations to database data
• Master SQL functions for sophisticated data manipulation
• Leverage an understanding of relational database design to link together data stored across multiple tables
• Use aggregate queries to produce summarized views and analysis
• Be comfortable putting SQL and SQL Server on your resume
• Gain experience with the kind of SQL coding problems you are likely to encounter in an interview

Course outline

Course outline


Click on the following link to see the current Course Schedule
Our minimum class-size is 3 for this course.
If there are no scheduled dates for this course, it can be customized to suit the time and skill needs of clients and it can be held online, at a rented location or at your premises.
Click on the following link below to arrange for a custom course: Enquire about a course date

Product Information

Product Information

Additional Information

CANCELLATION POLICY – There is never a fee for cancelling seven business days before a class for any reason. Data Vision Systems reserves the right to cancel any course due to insufficient registration or other extenuating circumstances. Participants will be advised prior to doing so.


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