SQL for Data Analytics Training Malaysia (2026) — HRDF Claimable
SQL is the universal language for working with databases and the most in-demand technical skill for data analysts. SQL training teaches professionals to write queries that extract, filter, aggregate, and join data — enabling self-service data access without relying on IT.
Quick Answer: SQL for Data Analytics Training
What is it: Training on SQL for analytics — SELECT queries, JOINs, GROUP BY, subqueries, window functions, and practical data extraction for reporting.
Who is it for: Business analysts, data analysts, marketing analysts, finance teams, and anyone extracting data from databases.
Typical cost: RM2,500–RM5,500 for a 2-day program.
What You'll Learn
- Write SELECT queries to extract exactly the data you need
- JOIN multiple tables to combine data from different sources
- Aggregate and summarise data using GROUP BY, HAVING, and window functions
- Create subqueries and CTEs for complex multi-step analysis
- Pull your own data for reports without waiting for IT support
Who Should Attend
Business analysts, data analysts, marketing analysts, finance professionals, operations teams, and anyone querying databases.
Full Curriculum: What This Training Covers
That's the outcome — here's exactly how we get you there, module by module. A typical programme is organised into these modules; content is tailored to your team, roles, and industry.
1.Relational Databases & SQL Foundations
How relational databases and tables are structured, core SQL data types, and setting up a working environment (MySQL / Azure SQL) before writing your first CREATE TABLE and INSERT statements.
2.Querying & Filtering Data with SELECT
Retrieving records using SELECT, narrowing results with the WHERE clause and AND/OR/IN/NOT IN conditions, sorting with ORDER BY, and pattern-matching with LIKE, wildcards (%, _) and regular expressions.
3.Aggregating & Summarising Data
Using aggregate functions (SUM, AVG, MIN, MAX, COUNT, DISTINCT), grouping records with GROUP BY, and filtering aggregated groups with HAVING to produce summary reports for business analysis.
4.SQL Functions & Handling Messy Data
Applying string, numeric, date and user-defined functions to transform values, and correctly handling missing data with IS NULL / IS NOT NULL so analytics results stay accurate.
5.Combining Tables with Joins & Unions
Merging data across multiple related tables using INNER, LEFT, RIGHT, OUTER and CROSS joins, and stacking result sets together with UNION to build a single analysis dataset.
6.Subqueries, Views & Advanced Query Techniques
Writing nested subqueries to answer multi-step questions, creating reusable views to simplify frequent reports, and progressing to T-SQL / window functions for more advanced analytical queries.
7.Indexing & Query Performance
Creating, adding and dropping indexes, and comparing query performance with and without them so large datasets return results efficiently in real-world reporting workloads.
8.Hands-on Analytics Project & Assessment
Applying all learned SQL concepts to design and query a real-world database (e.g. employee or library system), completing a practical assignment and quiz, with an HRD Corp (HRDF) claimable certificate on completion.
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SQL for Data Analytics Training Programmes Available
Frequently Asked Questions About SQL for Data Analytics Training
No. SQL is designed to be readable and is one of the most accessible languages. Training starts from basics.
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Ringkasan dalam Bahasa Melayu
Latihan SQL untuk analitik data di Malaysia mengajar profesional cara menulis pertanyaan SQL untuk mengekstrak, menapis, dan mengagregat data dari pangkalan data. Boleh dituntut melalui HRD Corp.
Prefer to Learn Online at Your Own Pace?
If in-house or public-class SQL for Data Analytics Training isn't what you need right now, these self-paced online certificates are a self-funded alternative. Not HRDF claimable — for personal upskilling, not company-sponsored training.
Last Verified: March 2026