Data Analytics Fundamentals
Turn data into decisions: collection, cleaning, analysis, KPIs, visualisation, reporting and decision making.
Level & requirements
Build practical skills and prepare for your first professional role.
- Required experience
- Basic knowledge of the subject; little or no professional experience.
- Prerequisites
- None — you can start today.
- Career roles this supports
- TraineeData Analyst
Recommended next step — Intermediate level
SQL for Business →Data Analytics Fundamentals is a professional, project-driven course designed for career-focused learners. Across 32 lessons in 8 modules you build hands-on skills, complete practical exercises, and finish a real project that is assessed against professional standards.
What you will learn
- Collect and clean data
- Analyse data with basic methods
- Build KPIs and visualisations
- Use data to make decisions
Curriculum
Data Fundamentals
What data is · Data types · Data sources · Data quality
- Lessons are being published.
Data Collection
Gathering data · Surveys and systems · Data capture · Data ethics
- Lessons are being published.
Data Cleaning
Why cleaning matters · Missing and duplicate data · Outliers · Preparing data
- Lessons are being published.
Data Analysis
Descriptive analysis · Basic statistics · Trends and patterns · Asking questions of data
- Lessons are being published.
KPIs
Choosing KPIs · Defining metrics · Benchmarks · KPI hierarchies
- Lessons are being published.
Visualization
Visualisation principles · Chart types · Design for clarity · Avoiding distortion
- Lessons are being published.
Reporting
Report structure · Dashboards · Storytelling with data · Regular reporting
- Lessons are being published.
Decision Making
Evidence-based decisions · Interpreting results · Uncertainty · Communicating findings
- Lessons are being published.
Requirements
- No prior experience required
- A computer with internet access
- Commitment to the practical project