SQL Development with MS SQL Server Beginner to Master

Free Download What you'll learn
Understand and write SQL queries to interact with databases
Summarize and analyze data with powerful SQL query techniques
Build stored procedures to create and dynamically access production-level datasets
Migrate Databases from your local machine to the cloud with Azure SQL
Requirements
Must have basic computer skills, and a desire to learn SQL
Must have a computer to follow the course on
Description
Learn how to understand and effectively write SQL Queries to interact with databases and build powerful datasets.The whole course also 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 Expert.The learning objectives below outline what you will learn and be able to do and understand at the end of each section.BasicsCreate resourcesView, add and delete data stored in database tablesFilter, sort, summarize and aggregate data from tablesIntermediate Combine data from different tablesAffect the way data is stored and accessed with indexesUse built in SQL Functions to transform and format dataAdvancedCreate indexes and understand how they workUse window functions to access data from other rows in the datasetStore query logic inside of stored procedures and access then with dynamic filtersImprove query performance with temporary tables and nested queriesIf 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 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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