SQL Fundamentals
Develop the skills to query and validate a small relational dataset through a learning path centred on SQL Fundamentals. Explore concepts, guided practice and an applied project.
Build practical SQL Fundamentals skills.
Skills and knowledge developed in this course.
- Relational foundations
- Query essentials
- Combining data
- Data changes
- Applied project: Query and validate a small relational dataset
- SQL Fundamentals — validation and review
About this course
This course develops practical capability in SQL Fundamentals. Its course-specific content covers Relational foundations, Query essentials, Combining data, Data changes, followed by an applied project focused on query and validate a small relational dataset. The lessons include concrete configuration, design, testing or operational decisions appropriate to the subject.
Who this is for
Learners starting in databases & data administration and professionals who want an organized foundation before more advanced work.
Before you start
Basic computer literacy and comfort using the relevant operating system. No prior production experience is assumed; any lab accounts or software are confirmed before training.
Query and validate a small relational dataset
Deliver query and validate a small relational dataset. Use the module outcomes to state requirements, demonstrate a working result, test an expected failure or boundary case, and document assumptions and follow-up work.
Course content
Course-specific syllabus and practical exercises. Lab release, access arrangements and final delivery scope are confirmed before enrolment.
01Relational foundations
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- Tables, keys and constraints
- NULL values and data types
Practical exerciseApply relational foundations to the query and validate a small relational dataset and capture the validation evidence.
02Query essentials
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- SELECT, filtering and ordering
- Expressions and aggregate functions
Practical exerciseApply query essentials to the query and validate a small relational dataset and capture the validation evidence.
03Combining data
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- Inner and outer joins
- Grouping, subqueries and common table expressions
Practical exerciseApply combining data to the query and validate a small relational dataset and capture the validation evidence.
04Data changes
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- INSERT, UPDATE and DELETE
- Transactions and safe change verification
Practical exerciseApply data changes to the query and validate a small relational dataset and capture the validation evidence.
05Applied project: Query and validate a small relational dataset
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- Define inputs, assumptions and acceptance criteria for: Query and validate a small relational dataset.
- Implement the project using relational foundations, query essentials, combining data, data changes.
Practical exerciseQuery and validate a small relational dataset.
06SQL Fundamentals — validation and review
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- Demonstrate the completed project against its acceptance criteria.
- Exercise an invalid-input or failure scenario and document the observed result.
Practical exercisepresent the project evidence, limitations and a repeatable handover.
Technical references
These primary vendor, project or standards sources inform this independent IT Purview outline. Reference pages checked 25 October 2026; current provider documentation and exam objectives take precedence when versions change.
From understanding to application.
Progress by learning milestone. The schedule is agreed around your starting level and learning goals.
- 01Learning milestone 1 In progress
Set the context
Relational foundations · Query essentials
Establish the SQL Fundamentals scope, baseline concepts and operating assumptions. - 02Learning milestone 2 In progress
Build the working skills
Combining data · Data changes
Apply the core SQL Fundamentals techniques in the course lab and record the result. - 03Learning milestone 3 In progress
Validate and handle exceptions
Check expected behavior, investigate a failure case and capture evidence for query and validate a small relational dataset. - 04Learning milestone 4 In progress
Deliver the applied project
Complete query and validate a small relational dataset, explain key decisions and identify a practical next step.
Career outlook after this learning path
Typical roles this roadmap can support, with broad salary ranges by relevant work experience.
| Role | 0–3 years | 3–7 years | 7–12+ years |
|---|---|---|---|
| Database Administrator | ₹5–11 LPA | ₹12–24 LPA | ₹25–45 LPA |
Ranges are indicative India-market compensation estimates in ₹ lakh per annum, not a salary promise. They reflect broad market guides and vary by location, employer, skills and role scope; the experience bands refer to relevant work experience, not time since training. Completing this course does not guarantee employment, a role, compensation or career progression. View market reference ↗