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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
Testimonials (5)
It was very interactive and it kept us interested.
Raluca Alexandra PUNGA
Course - SQL Fundamentals
Philip was very kind, his style of explaining SQL concepts is outstanding. I liked that he give us information and answered to questions which were not part of this course.
Stefan
Course - SQL in SQL Server
analytical functions
khusboo dassani - Tech Northwest Skillnet
Course - SQL Advanced
The training materials.
Mona Dobre - DB Global Technology
Course - SQL Advanced level for Analysts
Interactive exercises