AI and Data in Business
SQL for Business Analytics
This practical course develops directly applicable capability in SQL for Business Analytics. Participants work in depth on Relational Data Foundations, and Retrieving and Filtering Data, and Aggregating Business Measures, then convert the methods into tools and actions suited to their workplace.
Objectives
- Apply the principles and methods of relational data foundations in a workplace context.
- Apply the principles and methods of retrieving and filtering data in a workplace context.
- Apply the principles and methods of aggregating business measures in a workplace context.
- Apply the principles and methods of joining business tables in a workplace context.
- Apply the principles and methods of analytical sql techniques in a workplace context.
- Apply the principles and methods of building a reliable analysis in a workplace context.
Target audience
- Professionals responsible for the subject area
- Managers and supervisors
- Analysts, coordinators, and specialists
- Project and improvement teams
- Employees preparing for broader responsibilities
Program outline
A clear structure for the learning journey.
Outline points are grouped in one designed block instead of being treated as separate module cards.
01Relational Data Foundations3 topics
- Tables, keys, relationships, and schemas
- Rows, columns, data types, and null values
- Reading an entity-relationship model
02Retrieving and Filtering Data3 topics
- SELECT, aliases, DISTINCT, and calculated fields
- WHERE conditions, operators, and date filters
- Sorting and limiting analytical results
03Aggregating Business Measures3 topics
- COUNT, SUM, AVG, MIN, and MAX
- GROUP BY dimensions and HAVING filters
- Building revenue, volume, and customer summaries
04Joining Business Tables3 topics
- INNER, LEFT, and multi-table joins
- Choosing join keys and relationship direction
- Preventing duplicated measures after joins
05Analytical SQL Techniques3 topics
- CASE logic and business classifications
- Common table expressions and subqueries
- Window functions for ranking and running totals
06Building a Reliable Analysis3 topics
- Validating row counts and control totals
- Handling nulls, duplicates, and changing definitions
- Documenting and presenting a reusable SQL query
Materials provided
- ○ Course-specific presentation slides
- ○ Practical exercises and facilitated activities
- ○ Course-specific worksheets, checklists, and templates
- ○ Applied workplace case studies
- ○ 4D Certificate of Completion issued by 4D Training & Consultancy
- ○ Post-course support for implementation questions
Training Options
Programs can be delivered in-house, online, or in a blended format depending on your team's schedule, location, and learning objectives. When an external certificate or exam is included, certification rules and fees remain under the relevant awarding body's policies, while 4D provides the training and preparation support.
Why choose 4D
4D adapts this program to the participant group and workplace context. Delivery combines structured explanation with course-specific exercises, realistic cases, working tools, and an action-planning component so participants can transfer the learning to their roles.
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