SQL training for business analysts is a two-day hands-on program that teaches analysts to query relational databases themselves. It covers SELECT, filtering and sorting, joins, grouping and aggregation, CASE logic, date handling, window functions for running totals and rankings, checking results for errors and turning a business question into a clean table. Practice uses realistic business datasets.
- Recommended: 2 days in person, or 4 × 3.5-hour live virtual labs, plus a 30-day query challenge
- Level: Foundation to Intermediate · In person · Live virtual · Blended
- Designed with the ADDIE model and customised to your context
- Offered by Bodhih since 2008 to 2,000+ organisations across 7 regions
Also known as: SQL for analysts course, SQL course for non-coders, business SQL workshop, SQL querying for MIS teams
Where and how: SQL training for business analysts training as an in-person workshop in Bengaluru, Mumbai, Delhi NCR, Gurugram, Hyderabad, Chennai, Pune, Kolkata, Ahmedabad and Jaipur; as a live online course; or delivered overseas in Dubai, Singapore and across the Middle East, Asia and Africa.
Last reviewed by Siddharthan VGJ, Founder · Bodhih Training, Bengaluru
Why analysts can no longer wait in the data queue
In many Bengaluru and Hyderabad offices, the analyst who owns the business question still files a ticket and waits for someone else to pull the data. By the time the extract arrives, the meeting has moved on and the follow-up question needs another ticket.
SQL is the shared language of relational databases, and a working grasp of it turns analysts into people who answer questions the same afternoon. SQL training for business analysts focuses on the queries that matter for reporting and decisions, not on database administration.
Seven in ten companies see analytical thinking as an essential core skill in 2025.
70% of employers expect to hire staff with new skills.
What participants will be able to do
Query with confidence
Write SELECT queries that filter, sort and limit rows to exactly the slice a business question needs.
Join tables correctly
Combine orders, customers and products with inner and left joins, and explain why row counts change.
Summarise with grouping
Use GROUP BY and aggregate functions to build monthly, regional and product-level summaries.
Apply business logic
Use CASE expressions and date functions to create segments, fiscal periods and ageing buckets.
Rank and run totals
Use window functions for running totals, rankings and period-on-period change without losing detail rows.
Check before you share
Test query results against known totals, duplicates and missing values before they reach a report.
Who should attend
- MIS and reporting analysts in banks, insurers and BPM operations
- Finance and FP&A analysts who reconcile and summarise transaction data
- Product and growth analysts in startups who need answers between releases
- Operations and supply-chain analysts tracking orders, stock and service levels
- Business analysts in GCCs who translate stakeholder questions into data requirements
Program outline
Recommended design, customised to your context after a short needs analysis.
01From question to queryModule 1 · 90 min+
- How relational tables, keys and rows fit together
- SELECT, WHERE, ORDER BY and LIMIT
- Rewriting a vague business question as a precise one
02Joins without surprisesModule 2 · 2 hours+
- Inner and left joins on realistic sales tables
- Why row counts rise or fall after a join
- Finding records with no match
- Joining three or more tables safely
03Grouping and aggregationModule 3 · 2 hours+
- COUNT, SUM, AVG, MIN and MAX
- GROUP BY and HAVING
- Building a monthly regional summary table
04CASE logic and datesModule 4 · 90 min+
- Segments and buckets with CASE
- Date parts, fiscal months and ageing
- Handling NULLs and blanks
05Window functionsModule 5 · 2 hours+
- Running totals and moving averages
- Rankings within groups
- Month-on-month change with lag
- Subqueries and common table expressions for readable steps
06Checking and presenting resultsModule 6 · 90 min+
- Reconciling with known totals
- Spotting duplicates and missing data
- Commenting queries and producing a clean output table
Sample training plan: 2-day hands-on design
This two-day lab puts analysts at the keyboard from the first hour. Day 1 moves from tables and filters to joins and grouping, always starting from a manager's business question. Day 2 adds CASE logic, dates and window functions, then builds the habit of checking every number. The capstone is a regional sales review where the data hides duplicates and a missing month. Each analyst leaves with a library of commented queries and a 30-day challenge.
Participants can turn a business question into a query that filters, joins and summarises data correctly.
- 09:30–10:00The waiting gameEnergiser
- 10:00–11:00Tables, keys and SELECTDemo & practice
- 11:15–12:30Joins without surprisesHands-on lab
- 13:15–14:45Grouping and aggregationHands-on lab
- 15:00–16:15No match, no valueSkill drill
- 16:15–17:30Answer the wallGroup challenge
Participants can apply CASE and date logic, use window functions and check results before they reach a report.
- 09:30–10:00Spot the bugEnergiser
- 10:00–11:00CASE logic and datesHands-on lab
- 11:15–12:45Window functionsHands-on lab
- 13:30–14:30Check before you shareSkill drill
- 14:45–16:15Capstone: the regional sales reviewSimulation
- 16:15–17:30My query library and 30-day challengeAction planning
Every session’s activity, timings, outputs and materials, plus pre-work, a 90-day reinforcement plan and how impact is measured. Free, emailed to you instantly.
Recommended: 2 days in person (09:30–17:30 each day) with a laptop per participant, or 4 × 3.5-hour live virtual labs, plus a 30-day query challenge. A sample design: every Bodhih program is customised after a short needs analysis.
How long is SQL training for business analysts?
The recommended design is two full days in person with a laptop each, or four live virtual labs of three and a half hours, followed by a 30-day challenge to rebuild one recurring report in SQL.
What activities are included in SQL training for business analysts?
Analysts write queries from the first hour: joins with planted duplicate traps, grouped summaries, exception lists, CASE and date logic, window functions and a checking routine, ending with a regional sales review built against the clock from messy data.
How we deliver it
Keyboard time from the first hour
Every concept is followed by a lab, so analysts write dozens of queries over two days rather than watching slides.
Realistic business datasets
Labs use sales, customer and operations tables with the messy dates, duplicates and gaps analysts meet at work.
Question-first exercises
Each lab starts with a business question from a manager, not a syntax prompt, so the skill transfers to real requests.
Pair debugging
Analysts swap queries and hunt for the wrong join or filter in a partner's work, which builds the habit of checking.
Tailored versions
For finance and MIS teams
Labs centre on reconciliations, ledgers, branch summaries and month-end reports, with extra time on dates and ageing buckets.
For product and growth analysts
Labs use event, signup and retention tables, with cohort counts and funnel steps built from window functions.
Spaced virtual labs
Four live virtual labs spread over two weeks, with short homework queries between sessions on a shared practice database.
How we measure impact
We measure against the Evaluate stage of ADDIE. Before the program, analysts take the AssessAll SQL Query Writing Assessment with Executed Queries and Data Interpretation — Tables & Charts, and retake both as a post-assessment after the 30-day query challenge. Managers check in at 30, 60 and 90 days on how many data requests analysts now answer themselves and how often numbers need correcting after the SQL training for business analysts.
Pair this program with AssessAll, Bodhih’s AI assessment platform, for pre- and post-program skill measurement.
Frequently asked questions
What is SQL training for business analysts?
SQL training for business analysts is a hands-on program that teaches analysts to pull and summarise data from relational databases themselves. It covers SELECT, filtering, joins, grouping, CASE logic, dates and window functions, plus checking results for errors. Bodhih runs it on realistic business datasets so the queries match the questions analysts get at work.
Do business analysts need SQL?
Most do. Analysts who can write their own queries answer questions faster, test ideas without waiting and understand the data behind every report. Even where a data team owns the warehouse, SQL lets analysts check numbers and explain them confidently. Many analyst job descriptions now list it as a baseline skill.
How long does it take to learn SQL for analysis?
Analysts can write useful queries after the first day of practice. Two focused days cover the core most business work needs: filtering, joins, grouping, CASE logic, dates and window functions. Fluency then comes from daily use, which is why the program ends with a 30-day challenge built on real work questions.
What SQL should a business analyst know?
Start with SELECT, WHERE and ORDER BY, then joins, GROUP BY and aggregate functions. Add CASE expressions for segments, date functions for periods and window functions for running totals and rankings. Just as important is the habit of checking results against known totals before sharing them.
What are window functions in SQL?
Window functions calculate across a set of related rows while keeping each row visible. They let you add a running total, rank customers within a region or compare this month with last month in one query. For analysts, they replace many manual steps and are taught on the second day of the program.
How do you check if a SQL query is correct?
Compare the result with a known total, such as monthly revenue from a finance report. Check row counts before and after each join, look for duplicates and test edge cases like nulls and month ends. Reading a partner's query aloud also catches many mistakes. The program builds these checks into every lab.
Do participants need coding experience?
No. The program is designed for analysts who work with reports and spreadsheets but have not written code. It starts with how tables relate and builds step by step. Analysts who already know basic SELECT queries can join a shorter version that begins with joins and moves faster to window functions.
Can SQL training for analysts run online or outside India?
Yes. The live virtual version runs as four labs of three and a half hours on a shared practice database. Master trainers travel from Bengaluru for in-person delivery across India, the Middle East, Singapore and Bodhih's other regions. Bodhih has run over 18,000 programs since 2008 and adapts datasets to each client's industry.