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    Advanced SQL Course

    Advanced SQL Course Certificate
    Structured Query Language (SQL) is fundamental to all relational database operations. In this hands-on Advanced SQL course, you will learn to maximize the potential of the SELECT statement by writing robust queries using the most effective methods for your application. You'll test your queries and learn to avoid common errors and pitfalls. The course also covers alternative solutions to various problems, allowing you to choose the most efficient solution for each situation.

    Advanced SQL Course Objectives

    • Maximise the potential of SQL to build powerful complex and robust SQL queries.
    • Query multiple tables with inner joins outer joins and self joins.
    • Construct recursive common table expressions.
    • Summarise data using aggregation and grouping.
    • Execute analytic functions to calculate ranks.
    • Build simple and correlated subqueries.
    • Thoroughly test SQL queries to avoid common errors.
    • Select the most efficient solution to complex SQL problems.

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    • Advanced SQL Course Prerequisites

      This is an advanced course, and knowledge of the basics of SQL at the level of Ratio's Introduction to SQL Course, or equivalent is assumed.

    • Advanced SQL Course Delivery Methods

      In-Person

      Online

    • Advanced SQL Course Outline

      Module 1: Introduction and Overview
      SQL fundamentals

      Why SQL can be both easy and difficult
      Recommendations for thorough testing
      Retrieving data with SELECT

      Expressions
      Literals
      Handling NULLs properly
      Executing queries

      Analysing query plans
      Enhancing query performance
      Retrieving partial results with FETCH and OFFSET
      Selecting the best alternatives
      Avoiding errors and pitfalls

      Module 2: Querying Multiple Tables
      Implementing various types of joins

      Inner joins
      Cross joins
      Left, right, and full outer joins
      Equijoins vs. theta joins
      The performance implications of joins
      Adding filter conditions to outer joins
      Writing self joins

      Joining a table to itself
      Chaining self joins
      Solving time-interval problems
      Combining queries with set operators

      UNION
      UNION ALL
      INTERSECT
      EXCEPT

      Module 3: Aggregate Functions
      Summarising data with aggregate functions

      COUNT
      SUM
      AVG
      MIN
      MAX
      Managing NULLs
      identifying duplicates
      Grouping data

      GROUP B
      Applying conditions with HAVING
      Calculating moving averages
      Building crosstab reports
      Extending group queries

      Nesting grouped aggregates
      Joins and grouping
      Introducing subtotals with CUBE and ROLLUP

      Module 4: Performing Extensive Analysis with Analytic Functions
      The OVER clause

      Specifying the ordering before applying the function
      Splitting the result set into logical partitions
      Calculating ranks

      RANK and DENSE_RANK
      ROW_NUMBER with ordered sets
      Calculating percentiles
      Extending the use of aggregates

      Partitioning in multiple levels
      Computing running totals
      Comparing row and aggregate values
      Top-N queries
      Defining sliding window boundaries

      Module 5: Building Subqueries
      Self-contained subqueries

      Subqueries in conditions and column expressions
      Creating multilevel subqueries
      Avoiding problems when subqueries return NULLs
      Handling multirow subquery results
      Finding gaps in number series
      Correlated subqueries

      Accessing values from the outer query
      EXISTS vs. IN
      Identifying duplicates
      Avoiding accidental correlation
      Common table expressions

      Reusable subqueries
      Recursive subqueries
      Traversing hierarchies

      Module 6: Breaking Down Complex Queries
      Overcoming SQL limitations
      Reducing complexity and improving performance