Advanced SQL: Analytics and Window Functions

Advanced SQL: Analytics and Window Functions is an original Mai Studies programme in data science & analytics. Over 8 weeks and roughly 40 guided hours you work through recorded classes, written notes, practical activities, knowledge checks and assessed tasks marked against a published rubric with an 80% pass mark. All material is written in-house. Mai Studies is independent: no official examination content, question bank, recording or branding from any certification body is reproduced, and completion leads to a Mai Studies completion certificate rather than a regulated or accredited qualification.

8 weeks 40 guided hours Advanced

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No account needed to buy. Pay with your card and we create your student account from the email you enter, with this programme ready inside it for twelve months.

Advanced SQL: Analytics and Window Functions course artwork

What you will achieve

Explain the core principles of advanced sql: analytics and window functions in plain language
Apply the methods safely and correctly to realistic scenarios
Produce a documented portfolio piece assessed against a published rubric
Plan your next steps in data analysis and analytics engineering

Entry guidance

— Solid intermediate experience in data analysis and analytics engineering
— Prior hands-on project work recommended

Original Mai Studies learning material. This is a professional completion programme, not a regulated qualification or university accreditation.

Programme syllabus

3 applied modules

Lessons: 6
Assessed tasks: 3
Practice questions: 68
Timed mock papers: 4

Foundations of Advanced SQL: Analytics and Window Functions

Core concepts, vocabulary and working environment for advanced sql: analytics and window functions.

2 lessons · 23 practice questions · 1 assessed task

1. What advanced sql: analytics and window functions really involves21 min study · 3 learning objectives · practical activity
A grounded tour of the problems this advanced programme solves and the language practitioners use.
2. Setting up your working environment21 min study · 3 learning objectives · practical activity
Prepare the tools, accounts and folder structure you will use throughout the programme.

Foundations of Advanced SQL: Analytics and Window Functions: assessed task — marked out of 100, pass at 80%

Applied practice in Advanced SQL: Analytics and Window Functions

Hands-on work that turns theory into a repeatable method for data analysis and analytics engineering.

2 lessons · 23 practice questions · 1 assessed task

1. Working through a realistic scenario21 min study · 3 learning objectives · practical activity
Follow a complete worked example end to end, explaining each decision as you go.
2. Common mistakes and how to avoid them21 min study · 3 learning objectives · practical activity
The errors that cost practitioners most time, and the checks that catch them early.

Applied practice in Advanced SQL: Analytics and Window Functions: assessed task — marked out of 100, pass at 80%

Portfolio project, assessment and next steps

Produce assessed evidence of your capability and plan the study that follows this programme.

2 lessons · 22 practice questions · 1 assessed task

1. Building your portfolio piece21 min study · 3 learning objectives · practical activity
Plan, build and document a piece of work you can show to an employer or client.
2. Where to go next21 min study · 3 learning objectives · practical activity
Honest guidance on further study, practice habits and how this fits a wider career path.

Portfolio project, assessment and next steps: assessed task — marked out of 100, pass at 80%

Timed mock papers

Advanced SQL: Analytics and Window Functions: timed mock paper 1 — 180 minutes, 30 objective questions plus written and computational tasks
Advanced SQL: Analytics and Window Functions: timed mock paper 1 — 180 minutes, 30 objective questions plus written and computational tasks
Advanced SQL: Analytics and Window Functions: timed mock paper 2 — 180 minutes, 30 objective questions plus written and computational tasks
Advanced SQL: Analytics and Window Functions: timed mock paper 2 — 180 minutes, 30 objective questions plus written and computational tasks

Lesson pages, assessed tasks and mock papers open the moment you join this programme. Teaching material is studied online; the notes you write are yours to download.

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