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Introduction to Structured Query Language (SQL) for Data Analytics (Live Online)

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Overview

Structured Query Language (SQL) is used to extract information from a relational database to address an array of business information needs. Thus, the goal of the course is to teach participates how to query a relational database for information and analysis.

Course Objectives:

  • Students will learn how to query a relational database for information and analysis using Transact-SQL.
  • Understand how data is retrieved prior to analyze it

Curriculum:

  • Installing Microsoft SQL Express and Management Studio
  • Learning history of SQL and basic concepts of the structure of a relational database
  • Understanding structured programming
  • Understanding naming convention
  • Understanding basic syntax to query one table
  • Using built-in functions for strings
  • Querying two or more datasets (tables or views) using INNER JOIN, OUTER LEFT JOIN and OUTER RIGHT JOIN
  • Using built-in functions for numeric values including aggregate functions and GROUP BY
  • Using clauses ORDER BY, CASE, WHERE and operators
  • Sub-queries
  • Understanding function FORMAT() for dates and currencies including culture codes
  • Understanding data types
  • Creating, dropping, and altering databases, schemata, tables and columns
  • Inserting values into tables and updating values
  • Differences between DROP, TRUNCATE and DELETE
  • Altering databases, schemata, tables and views
  • Understanding NULL and NOT NULL
  • Understanding functions CONVERT(), CAST(), DAY(), MONTH(), YEAR() and GETDATE()
  • Creating, dropping, and altering views

Taught by

Borough of Manhattan Community College

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3.8 rating at CourseHorse based on 179 ratings

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