Sql Development With Ms Sql Server Beginner To Master

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Learn SQL (Structured Query Language) with MS SQL Server and T-SQL from Mac, Linux or Windows!


  • Must have basic computer skills, and a desire to learn SQL
  • Must have a computer to follow the course on


Learn how to understand and effectively write SQL Queries to interact with databases and build powerful datasets.

The whole course only uses resources that are available to all operating systems so that you can follow along from Windows, Linux or MacOS.

Learning Path:

There are 3 different levels you will go through in your journey to becoming a SQL Query Writing Expert.

The learning objectives below outline what you will learn and be able to do and understand at the end of each section.

  1. Basics
    1. Create resources
    2. View, add and delete data stored in database tables
    3. Filter, sort, summarize and aggregate data from tables
  2. Intermediate
    1. Use built in SQL Functions to transform and format data
    2. Combine data from different tables
    3. Return dynamic results with case statements and type casting
  3. Advanced
    1. Create indexes and understand how they work
    2. Use window functions to access data from other rows in the dataset
    3. Store query logic inside of stored procedures and access then with dynamic filters
    4. Improve query performance with temporary tables and nested queries

If you are new to programming, or just new to SQL you will get a floor up explanation of everything you need to know to write clean and powerful SQL Queries and Datasets for Applications, Reporting, or Data Analysis.

If you already know some SQL, you will get explanations of how things work that will lead to a strong understanding of complex topics, and a great reference for anything that is new to you!

By the end of the course your SQL toolbox will be full of great tools to transform, manage, and read data using Structured Query Language.

Who this course is for:

  • Anyone who want to learn about SQL (Structured Query Language)
  • Anyone interested in building datasets for Data Analysis, Reporting, or DataWarehouse management
  • Anyone Interested in persistent data storage for application development

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