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SQL Server 2014: Management Studio
SQL Server Core 2016
SQL Server 2014: T-SQL Fundamentals
SQL 2014 Developer: VS 2012 and Data Types
SQL for Beginners
SQL Server for Data Analysis
SQL Server is a powerful tool allowing users to store and manage large amounts of data. Its ability to handle complex queries makes it an ideal choice for data analysis. This course will give you everything you need to use SQL Server to analyze and interpret large datasets from the basics of SQL Server database management to advanced query optimization techniques. Travis Cuzick your instructor will guide you through each step showing you how to install SQL Server 2019 Express and SQL Server Management Studio. You will be introduced to the fundamentals of SQL Server including creating and managing databases renaming and selecting columns and exporting data from SQL Server Management Studio. Next you'll dive deeper into data analysis techniques like filtering and sorting data with logic and criteria demonstrating how to select numerical values from your data by range and match text patterns using wildcards. Learn how to use the SORT BY DESC and ASC keywords to sort data quickly including the SELECT DISTINCT keyword to avoid duplicate records in a table. Explore how to create essential derived columns and concatenate strings. We'll cover some standard functions in SQL including some time-saving tips and tricks you can use in SQL Server Management Studio. Understanding the differences in data types is crucial to analyze data. This course discusses the three data types and explains how to perform date calculations in SQL. You'll examine the aggregate functions and how to use them to calculate the total number of records in a table. This course is designed for anyone who wants to learn how to use SQL Servers for data analysis. It contains a resource section with many engaging exercises to help sharpen your skills. If you want to handle large datasets and complex analyses like a pro enroll today and become a data analysis expert!
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Disclaimer: Some of the links on this website are affiliate links, meaning we may earn a commission if you click through and make a purchase. This comes at no additional cost to you.
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Product information, including title, description, and images, is sourced/provided by our affiliate partner, Alison US CA.
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Refer a friend and earn 0.05 CEC when they click the link, plus an additional 1.00 CEC if they register. Share this Product and boost your earnings together!