SQL for Data & Business
By the end of this course, students will confidently write SQL queries to retrieve, filter, aggregate, and analyze data from relational databases for business reporting and decision-making.
Live Online
Interactive sessions
Hands-On Projects
Query real databases
Certificate
Professional Certificate of Completion
Course Prerequisites
What you need
- Basic computer skills
- Willingness to learn through hands-on practice
- Familiarity with spreadsheets is helpful but not required
✖Not required
- ✖No prior SQL or database experience needed
- ✖No programming knowledge
- ✖No advanced mathematics
Equipment
- Laptop or desktop with internet access
- All database tools provided during the course
What You'll Learn
SQL Fundamentals
Master SELECT statements, filtering with WHERE, sorting with ORDER BY, and limiting results for precise data retrieval.
Joins & Relationships
Combine data from multiple tables using INNER JOIN, LEFT JOIN, and RIGHT JOIN to answer complex business questions.
Aggregations & Grouping
Summarize data with COUNT, SUM, AVG, MIN, MAX and GROUP BY to produce meaningful business reports.
Subqueries & CTEs
Write nested queries and Common Table Expressions to break down complex analytical problems step by step.
Window Functions
Use ROW_NUMBER, RANK, and running totals to perform advanced analytics directly in SQL.
Portfolio Development
Build a set of SQL analysis projects that demonstrate your querying skills to employers or clients.
What You'll Build
Throughout the course, you'll complete portfolio-ready SQL projects that showcase your analytical skills to employers.
Customer Sales Analysis
Query a multi-table sales database to identify top customers, revenue trends, and product performance using joins and aggregations.
Employee & HR Reporting
Build queries to analyze headcount, salary distributions, and departmental metrics from an HR database.
Business Performance Dashboard Queries
Write the SQL behind a KPI dashboard, producing summary tables for revenue, growth rates, and month-over-month comparisons.
Data Quality Audit
Identify duplicates, missing values, and inconsistencies in a dataset using SQL, then produce a clean summary report.
Your Instructor
Likeleli Motheo
Finance Analyst
A professional Finance Analyst with data analytics certification and extensive experience in financial modeling, business intelligence, and data-driven decision making in international companies. Specializes in Excel, SQL, Power BI, dashboard design, and storytelling with data for businesses and finance professionals who want to turn numbers into clear, compelling insights.
Course Curriculum
Shared learning in Weeks 4-6. SQL course students join the Data Analytics cohort for these three weeks, working through the same curriculum at the same time.
SQL Basics
Shared with Data AnalyticsSELECT statements, filtering with WHERE, sorting, and basic queries on single tables
SQL for Analysis
Shared with Data AnalyticsJoins, subqueries, aggregations with GROUP BY, and data manipulation across multiple tables
Advanced SQL
Shared with Data AnalyticsWindow functions, Common Table Expressions (CTEs), performance optimization, and real-world analysis projects
Who This Course Is For
Small Class Sizes for Better Learning
Limited to 25 students per cohort
SQL requires practice, troubleshooting, and understanding how data relationships work. By limiting each cohort to 25 learners, we ensure every student receives personalized support, guided query review, and the hands-on mentoring needed to build real confidence with databases.
Why Learn SQL?
The Language of Data
SQL is the universal language for working with databases. Every major company stores its data in relational databases, and SQL is how you access it.
In Demand Across Industries
SQL is consistently ranked among the top skills employers look for in data, finance, marketing, and operations roles.
Unlock Self-Service Analytics
Stop waiting for someone else to pull your data. SQL lets you go directly to the source and get exactly the answers you need.
Foundation for Advanced Tools
SQL is the foundation for Power BI, Tableau, Python data analysis, and virtually every modern analytics platform.
Course Pricing
M2,000.00
3-Week Program
M350.00 application fee paid upon applying
Full Payment
M2,000.00
Pay in full before course starts
Frequently Asked Questions
Why only 25 students per cohort?
SQL requires hands-on practice and guided troubleshooting. Small cohorts allow instructors to review each student's queries individually, provide targeted feedback, and ensure everyone builds solid, practical database skills.
Do I need any prior experience?
No! This course is designed for complete beginners. Basic computer skills are all you need. We start with the fundamentals and build up step by step.
What if I have a full-time job?
Sessions are held in the evenings for 2 to 2.5 hours, only 2 days per week. You can follow along without disrupting your work schedule.
Will I get a certificate?
Yes, you will receive a Professional Certificate of Completion after finishing the course and submitting your projects.
Can I upgrade to the full Data Analytics program later?
Yes! If you complete the SQL course and want to continue into Power BI, Tableau, and the full analytics curriculum, you can join the Data Analytics program and credit your SQL weeks.
Ready to Master SQL?
Join the next cohort and build the database skills that let you work directly with data.
Enroll in SQL CourseHave questions? Contact us