Turn messy data into decisions people trust
Every organisation collects data and most struggle to use it. Data analysts clean it, find what matters and present it clearly. Learn the tools employers ask for, Excel, SQL and Power BI, plus the AI tools that now speed up every step.
Why data analytics is a strong first tech skill
Data analytics sits between business and technology, so it suits people from commerce, accounting, economics, science and management backgrounds, not only computer science. The core tools are learnable in a few months, the work is visible and valued by managers, and the skills transfer across industries from banking and telecoms to healthcare and e-commerce.
AI has made analysts faster, not less needed. AI can write a formula or a SQL query, but someone still needs to know whether the data is right, whether the question makes sense and whether the chart tells the truth. That judgement is what this course builds.
Course roadmap
Excel for analysis
Lookups, PivotTables, Power Query, data validation and dynamic arrays.
Cleaning data
Duplicates, missing values, inconsistent formats, and documenting your steps.
SQL
SELECT, JOINs, GROUP BY, subqueries and window functions on real databases.
Statistics for business
Averages, spread, trends, correlation and simple forecasting.
Power BI
Data models, DAX basics, interactive dashboards and sharing reports.
Data storytelling
Choosing the right chart and writing insights that lead to action.
AI for analysts
Using AI to draft queries and formulas, explain results and check work.
Portfolio projects
Sales dashboard
An interactive Power BI dashboard for a retail dataset.
SQL case study
Business questions answered with SQL on a multi-table database.
Excel financial model
A clean model with assumptions, scenarios and charts.
Data analytics questions
Do I need to be good at maths?
Comfort with percentages and averages is enough. We teach the statistics you need.
Is this useful for ACCA or finance students?
Very. Excel modelling and Power BI are valuable for accounting and finance roles. See also finance and financial modelling.
What comes after this course?
Many learners apply for analyst roles or internships, or continue to machine learning and data science.
Related courses and guides
Book a free data analytics demo
Tell us who the classes are for and what you want to learn. A real person from our admissions team replies on WhatsApp, usually within a few hours, and books your free demo.
- Free first session, no card needed
- Skills check and a written learning plan
- Matched with a specialist tutor within 24 hours
- Prefer to talk? Message us on WhatsApp