SQL for Data Analysts with AI
Master SQL for Data Analysts with AI to write reliable, analysis-ready SQL—joins, CTEs, window functions, and views—while AI assistants speed up draft queries, test cases, documentation, and query QA.
- Clean, analyzable datasets with joins & aggregations
- CTEs & window functions for cohort and trends
- Views & materialized views for reuse
- AI prompts for queries, edge cases & docs
Syllabus & Modules — SQL for Data Analysts with AI
Basics to production-ready analytics: joins, CTEs, window functions, views, performance, QA, and AI-assisted workflows.
Module 1 — SQL Foundations & AI Assist
- SELECT/FROM/WHERE; GROUP BY/HAVING; ORDER/LIMIT
- AI to draft queries and propose test cases
Module 2 — Joins & Aggregations (without double-count)
- INNER/LEFT/RIGHT/FULL; anti/semi joins
- De-dupe & correct grain; KPI safety checks
Module 3 — Subqueries & CTEs (readable logic)
- Nested queries, multi-step pipelines
- Reusable CTE patterns for clarity & tests
Module 4 — Window Functions (analytics focus)
- ROW_NUMBER, RANK, DENSE_RANK, NTILE
- LAG/LEAD, moving averages, cohorts & funnels
Module 5 — Views, Materialized Views & Governance
- Reusable logic, access control, refresh cadence
- Naming/versioning & documentation with AI
Module 6 — Performance & Query Plans
- Indexes, predicates, partitioning basics
- EXPLAIN/EXPLAIN ANALYZE; spotting anti-patterns
Module 7 — Data Quality & Testing (AI-assisted)
- Nulls, outliers, referential checks
- AI to propose assertions & edge cases
Module 8 — BI Handoff & Reporting
- Clean views for Power BI/Tableau
- KPIs, date scaffolds & user-friendly fields
Module 9 — Capstone Project (Your Data)
- End-to-end: model → query → views → BI handoff
- Mentor review, AI-assisted docs & action items
Tools & Skills for SQL for Analysts with AI Code Assist
ANSI SQL training across Snowflake, BigQuery, Postgres, MySQL, and SQL Server—enhanced by AI code review and testing prompts.
SQL + AI code assist
Draft, explain & test queries
- Generate SELECT/JOIN scaffolds from specs
- Explain errors, NULL behavior, edge cases
- Create unit tests & QA prompts for SQL
Copilot / ChatGPT compatible
CTEs & Views (governed datasets)
Readable pipelines → reusable outputs
- WITH (CTEs) multi-step transforms
- CREATE/REPLACE VIEW; permissions & naming
- Materialized views & refresh (where supported)
Standardized KPIs
Window functions for analysts
ROW_NUMBER, RANK, LAG/LEAD
- Running totals, moving averages
- Percent-of-total & cohort metrics
- AI prompts to validate partition/order logic
Analytics-ready SQL
Joins & shaping (reliable inputs)
INNER/LEFT/RIGHT, anti/semi
- Key selection, duplicates, NULL handling
- Union vs union all; de-dupe patterns
- AI review for join traps
Performance & EXPLAIN plans
Indexing basics & anti-patterns
- Selective projections (avoid SELECT *)
- Interpreting EXPLAIN output
- AI suggestions for optimization
Governance & Ops
Naming, versioning, validation
- Reconciliation checks and test queries
- Docstrings & AI-generated annotations
- Team standards for consistent outputs
Who is this SQL for Analysts with AI Code Assist course for?
Designed for working professionals who want reliable, faster analytics with governance—using ANSI SQL across Postgres, MySQL, SQL Server, Snowflake, and BigQuery, enhanced by AI code assist.
Data Analysts & BI Professionals (SQL + AI)
Ship trusted insights faster with SQL for Analysts patterns and AI Code Assist for draft/review.
- CTEs & Views for reusable datasets
- Window functions for analytics-ready outputs
- AI prompts to validate joins & aggregations
Finance, RevOps & Operations (SQL reporting)
Build governed metrics and month-close packs using SQL for Analysts with AI-assisted QA.
- Standardized KPIs & reconciliation checks
- Fewer ad-hoc fire drills, clearer intake
- AI to explain queries & edge cases
Managers & Founders (Decision dashboards)
Get SQL-backed, decision-ready dashboards—built via governed datasets and AI Code Assist summaries.
- KPI frameworks, layout rules, cadence
- Readable outputs your teams can adopt
- Audit-friendly documentation
Teams adopting AI for SQL (Copilot/ChatGPT)
Practical AI code assist workflows for SQL in Snowflake/BigQuery/Postgres/MySQL/SQL Server.
- Prompt patterns for draft, review & tests
- Privacy, bias, and governance guardrails
- Team standards & naming conventions
Corporate SQL Training with AI Code Assist
KPI-aligned workshops (4–8 hrs). Governed datasets, window functions, and AI review prompts your teams adopt.
KPI-aligned corporate SQL workshop
CTEs & Views • Window functions • EXPLAIN plans
- Reliable joins & aggregations (AI code review)
- Reusable datasets; fewer ad-hoc fire drills
- Performance basics and guardrails
Stacks we support
Snowflake • BigQuery • Postgres • MySQL • SQL Server
Before → After: SQL for Analysts with AI Code Assist
From ad-hoc SQL to governed, AI-assisted pipelines with CTEs/Views, window functions, and clear KPIs.
Ad-hoc SQL without AI
Manual joins • Nested subqueries • Fragile outputs
- Inconsistent filters; slow debugging
- No governed KPIs; hidden logic
- Unversioned SQL powering dashboards
SQL for Analysts with AI Code Assist
CTEs & Views • Window functions • EXPLAIN plans
- Readable pipelines → reusable datasets
- AI draft/review prompts reduce errors
- Faster fixes; indexing and anti-patterns
Long-tail: governed datasets, analytics-ready SQL
Ready to start SQL for Analysts with AI Code Assist?
Join the public cohort or bring a private, KPI-aligned workshop to your team.
Early-bird ₹X,XXX
- Live mentor + hands-on labs
- Prompt packs & SQL templates
- Certificate + LinkedIn badge
Custom — per team size & scope
- CTEs & Views • Window functions • EXPLAIN
- Governance: naming, versioning, QA prompts
- Post-class support & adoption guide
FAQ — SQL for Analysts with AI Code Assist
Answers about ANSI SQL training, AI code review prompts, governed datasets (CTEs & Views), performance tuning, and corporate workshops.
What are the prerequisites for this SQL for Analysts course?
Basic data literacy is enough. We start with foundations and quickly ramp into joins, aggregations, and window functions, using AI code assist to draft and review SQL safely.
Beginner → Intermediate · Analyst/BI/RevOps friendly
Which databases and stacks are supported?
We teach portable ANSI SQL patterns that work across Snowflake, BigQuery, Postgres, MySQL, and SQL Server. We also discuss dbt-style handoffs and BI exposure (Power BI/Tableau).
Keyword: Snowflake / BigQuery / Postgres / MySQL / SQL Server
How does AI help with SQL draft, review, and testing?
AI code assist for SQL: prompts that save time
- Draft JOIN scaffolds from plain-English specs
- Explain errors, NULL behavior, and edge cases
- Generate QA queries and reconciliation checks
Works with Copilot / ChatGPT / similar tools
What do “governed datasets” mean in this training?
You’ll build readable pipelines using CTEs and publish Views with clear naming, versioning, and documentation—so KPIs are standardized and dashboards are trusted.
Keyword: CTEs & Views for standardized KPIs
Do you cover performance tuning (EXPLAIN plans, indexes)?
Yes. You’ll read EXPLAIN plans, learn indexing basics, avoid anti-patterns (e.g., SELECT *), and use AI to suggest optimizations without guesswork.
Keyword: SQL performance & indexing basics
Will I get recordings, templates, and a certificate?
- Session recordings (for review and catch-up)
- Prompt packs, SQL templates, and checklists
- Verifiable completion certificate + LinkedIn badge
Keyword: SQL certificate with AI workflows
Is there a capstone project in this SQL with AI course?
Yes—using your data where possible. You’ll design a governed dataset (CTEs → View), ship first-cut insights, and document logic with AI. Mentor feedback included.
Keyword: SQL for Analysts course project
What’s the format and duration? (Evening/weekend)
Typical cohorts run 8–12 hours across evenings/weekends. Corporate workshops run 4–8 hours in a single sprint—onsite or virtual.
Keyword: evening/weekend ANSI SQL training
How does the BI/dbt handoff work after SQL?
We show how to expose metrics for Power BI/Tableau, and outline a dbt-style approach to documentation and versioned datasets.
Keyword: dbt handoff · Power BI / Tableau
Is a corporate SQL workshop available? Do you support GST/PO?
Yes—KPI-aligned Corporate SQL Training with AI for teams (up to ~25 participants). We support GST invoices and company POs.
What about data privacy when using AI for SQL review?
We cover privacy & governance guardrails. You’ll learn prompt patterns that avoid sensitive data exposure and options for on-prem/enterprise AI where required.
Keyword: AI governance & approvals
How do I enroll or talk to an advisor?
Use the form to enroll in the next cohort or request a corporate workshop. Prefer a quick call? We’re happy to help.