System Admin

Robert

King Semba

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<p>Thank you! How to practice writing the query? Is there a SQL server application that i can download?&nbsp; what would be the suggest?</p>
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MySQL is free and would let you practice.
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<p>I would like to learn SQL to be able to retrieve data for analytics. any video's, training that anyone can recommend and know to be great for starter. &nbsp;I need to catch up quickly :(. Also, where can i find it to download for practice.</p>
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I would like to learn SQL to be able to retrieve data for analytics. any video's, training that anyone can recommend and know to be great for starter.  I need to catch up quickly :(. Also, where can i find it to download for practice.


Thank you! How to practice writing the query? Is there a SQL server application that i can download?  what would be the suggest?

MySQL is free and would let you practice.

SQL Startup


I would like to learn SQL to be able to retrieve data for analytics. any video&amp;#39;s, training that anyone can recommend and know to be great for starter.  I need to catch up quickly :(. Also, where can i find it to download for practice.

SQL (Structured Query Language) is designed to be used in conjunction with relational database products as of a means of working with sets of data. SQL consists of data definition, data manipulation, and procedural elements. Its scope includes data insert, query, update and delete, schema creation and modification, and data access control.

Analytics is the discovery and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance. Specifically, areas within analytics include predictive analytics, prescriptive analytics, enterprise decision management, retail analytics, store assortment and stock-keeping unit optimization, marketing optimization and marketing mix modeling, web analytics, sales force sizing and optimization, price and promotion modeling, predictive science, credit risk analysis, and fraud analytics.