Course Outline

Relational Database Models

  • The structure of a relational database for government use.
  • Relational operators and their application in data management for government.

Download the Data

  • Rules for writing SQL queries for government databases.
  • The syntax for the SELECT statement in government applications.
  • Selecting all columns from a table for government operations.
  • Inquiries involving arithmetic operations for government data analysis.
  • Using aliases for columns in government datasets.
  • Literals and their role in government SQL queries.
  • Concatenation techniques for combining data in government reports.

Restrict Results

  • The WHERE clause for filtering government data.
  • The use of comparison operators in government SQL queries.
  • The LIKE condition for pattern matching in government datasets.
  • The BETWEEN ... AND condition for range queries in government databases.
  • The IS NULL condition for handling missing data in government records.
  • The IN condition for multiple value comparisons in government data.
  • Logical operators for complex conditions in government SQL queries.
  • Combining multiple conditions in the WHERE clause for government data filtering.
  • The order of operations in the WHERE clause for government queries.
  • The DISTINCT clause for eliminating duplicate records in government datasets.

Sorting Data

  • The ORDER BY clause for sorting government data.
  • Sorting by multiple columns or expressions for comprehensive government reports.

SQL Functions

  • Differences between single-row and multi-row functions in government SQL queries.
  • Text, numeric, and date functions for government data manipulation.
  • Conversion functions for transforming data types in government datasets.
  • Nesting functions to create complex expressions in government SQL.
  • Handling NULL values in government data functions.

Aggregating Data Using the Grouping Function

  • Grouping functions for summarizing government data.
  • How grouping functions handle NULL values in government datasets.
  • Creating groups of data with the GROUP BY clause for government analysis.
  • Grouping multiple columns for detailed government reports.
  • Reducing the result set of grouping functions with the HAVING clause for government queries.

Retrieving Data from Multiple Tables

  • Types of joins for combining data from multiple tables in government databases.
  • Using table aliases for clarity in government SQL queries.
  • Joins specified in the WHERE clause for government data retrieval.
  • INNER JOIN for matching records across tables in government datasets.
  • LEFT and RIGHT OUTER joins for including all records from one table in government queries.
  • Cartesian product for generating all possible combinations in government data analysis.

Subqueries

  • Placing subqueries in the SELECT command for nested government data retrieval.
  • Single-row and multi-row subqueries for government SQL queries.
  • Operators for single-row subqueries in government applications.
  • Multi-row subquery operators such as IN, ALL, and ANY for government data filtering.

Collective Operators

  • The UNION operator for combining results from multiple queries in government datasets.
  • The INTERSECT operator for finding common records in government data.
  • The EXCEPT operator for identifying unique records in government databases.

Insert, Update, and Delete Data

  • The INSERT command for adding new records to government databases.
  • The UPDATE command for modifying existing records in government datasets.
  • The DELETE command for removing records from government tables.

Transactions

Requirements

  • Proficiency in computer operations
  • Familiarity with various operating systems for government use
 14 Hours

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