The Advanced SQL Server Masterclass For Data Analysis

Do you know the fundamentals of SQL but feel upset when you run across scenarios where the fundamentals aren't enough? Are you a junior analyst looking to move to advanced SQL so that you can grow in your career? Maybe you're a data scientist who understands just enough SQL to get by, but you'd like to improve your skills so you can spend less time wrangling data and more time constructing models.

If any of these scenarios sound familiar, you've come to the correct spot. This advanced SQL for data analysis course covers everything that beginner SQL courses don't. The program is in-depth, covering all of the advanced techniques you'll ever need to manage and analyze data in the quickest and most effective manner. These concepts aren't taught in isolation; instead, they're taught in the context of real-world analytics settings, ensuring that you'll be ready to apply them on the job right away.

There are three features that distinguish this course from others. The first is the scope of the project. This course delves into SQL's advanced toolkit, revealing strategies for solving challenges that have even the most seasoned analysts scratching their heads. Second, there is an unwavering focus on practical, real-world applications. Techniques are taught as answers to common data wrangling and analytics problems, rather than as abstract concepts. Finally, and most significantly, the course includes a plethora of coding activities that allow you to get plenty of practice. And these tasks are spread out throughout the course, rather than being clumped together after hours of watching videos.

So if you want to go from SQL apprentice to SQL master, enroll today.

What you will learn

• SQL Server and SQL Server Management Studio Window Functions Installation
• Subquestions that are relevant
• EXISTS and NOT EXISTS advanced filtering
• Using PIVOT to flatten data
• Using recursive CTEs to create data series
• Breaking down complex processes into manageable parts using CTEs and temporary tables
• DDL and DML instructions are used to define and manipulate tables.
• Designing lookup tables to reduce the amount of time spent on redundant analyses
• Indexes and other SQL optimization approaches
• Variables and IF statements are procedural programming approaches.
• Creating custom SQL functions
• Developing stored methods to allow for flexible and reproducible analysis
• Procedural programming techniques like variables and IF statements can help you improve your SQL understanding.
• With Dynamic SQL, you can create code that writes code.

Who this course is for

• Data Analysts or BI Professionals who wish to advance to Senior Analyst/Developer Data Scientists who want to differentiate themselves from their rivals by going beyond the basics in SQL
• Job hunters with extensive SQL abilities who wish to boost their resumes
• Students who want to learn SQL in a thorough but practical method
• Anyone interested in honing their SQL data analysis skills to the next level.

Instructor: Travis Cuzick

Udemy rate: 4.7/5.0 (796 ratings)

Enroll here: https://www.udemy.com/course/advanced-sql-server-masterclass-for-data-analysis/