SQL for Data Analysis

This SQL training course will teach students how to write SQL statements to speed up the data analysis process. SQL is the standard language for relational database management systems and is used to communicate with a database. Most of the data processing tasks done under Excel, such as joining tables, calculation, extracting data or data query, can also be accomplished well with SQL. It can even outperform Excel in the context of large volume of data.

Students will be guided through a series of exercises starting from writing simple SQL statements to more complex statements at the end of the course. They will learn how to query data from multiple tables using inner or outer joins methods.

This is an ideal course for analysts who are looking for more efficient ways to analysis and managing data or tools to work in conjunction with Excel.

What you’ll learn

An Overview of Relational Databases

  • The Role of the Database Server
  • Interacting with a Database Server: The Client
  • Databases, Schemas, Tables, Rows and Columns
  • Primary Keys and Foreign Keys Explained
  • Introducing Data Types: Character, Numeric, Date and Time

Introducing SQL

  • Creating and Editing SQL
  • About Statements, Batches and Scripts
  • Executing and Parsing SQL Scripts
  • Using Comments
  • SQL Syntax and The Rules of SQL
  • About Keywords, Identifiers, Operators, Whitespace and Case
  • About the Semi Colon
  • SQL Conventions and Good Practice

Retrieving Data with SQL: First Steps

  • Introducing Queries: The SELECT Statement
  • The Clauses of the SELECT Statement
  • About Optional Clauses and Mandatory Clauses
  • Using FROM to Specify the Source Table(s)
  • Retrieving Entire Tables
  • Retrieving Specific Columns
  • Using Column Aliases to Rename Columns
  • Performing Calculations
  • Using Numeric and String Operators to Create Derived Output
  • Ways of Limiting the Output
  • Using ORDER BY to Sort the Output
  • Ways of Working: Some Tips

Using WHERE to Filter Results

  • Working with Comparison Operators (=, >= etc)
  • Numeric and String Based Filtering
  • Filtering Based on Calculations
  • Eliminating Duplicate Results with DISTINCT
  • Extending Filters with AND and OR
  • Range Filtering using BETWEEN and IN
  • NULL and its Implications Explained
  • Matching Patterns with LIKE

Getting Results From Multiple Tables

  • Joins Explained
  • The Different Types of Joins
  • Creating an Inner Join: WHERE Syntax
  • Creating an Inner Join: INNER JOIN Syntax
  • Table Aliases: Why We Need Them
  • Joining a Table to Itself
  • Outer Joins: An Example
  • How to Simplify Joins: An Approach

Using Standard SQL Functions

  • How to Use Standard SQL Functions to Modify Results
  • Mathematical, String and Conversion Functions
  • Formatting Numbers to Two Decimal Places
  • Replacing NULL with a Specific Value
  • Using Standard Functions in WHERE
  • Using CASE to Specify Output Conditions

Grouping and Summarizing Results

  • Using Aggregate Functions (MAX(), SUM(), AVG(), COUNT() etc)
  • The Way Aggregate Functions Work
  • Using GROUP BY to Group Results
  • The Need for HAVING: Filtering the Result Table

Inserting, Updating and Deleting Data

  • Inserting Single Rows
  • Inserting Multiple Rows
  • Inserting Rows by Column Position
  • Inserting Rows by Column Name
  • Inserting Data from one Table into Another
  • Updating Data
  • Deleting Data

SCHEDULES
 
SQL9095 - Eng 24 Sep enrol
 
SQL9093 - 廣東話 24 Sep enrol
 
SQL9094 - Eng 24 Sep enrol
 
SQL9102 - 廣東話 25 Oct enrol
 
SQL9111 - 廣東話 28 Nov enrol
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