About Course
Programme purpose
Build practical competence in cleaning, analysing, interpreting and communicating data for public, business and development decisions.
Learning route
- Data and decision questions
- Data quality and preparation
- Descriptive analysis
- Visualisation and dashboards
- Statistical interpretation
- Evidence-based reporting
Tutor LMS delivers theory; the Analytics Lab carries practical evidence and applied assessment.
Practical Data Analytics for evidence-based decision-making
The DatalytIQs Data Analytics course provides a structured pathway for learning how data can be prepared, examined, interpreted and communicated for decision-making. The emphasis is on analytical reasoning and practical use of evidence.
Who this course is for
- Aspiring and practising data analysts
- Researchers and research assistants
- Monitoring and evaluation professionals
- Managers who work with organisational data
- Students and graduates developing analytics capability
What you will explore
- Explore Analytical problem framing.
- Explore Data literacy and preparation.
- Explore Exploratory data analysis.
- Explore Statistical interpretation.
- Explore Insight communication.
- Explore Professional evidence checkpoint.
Course curriculum
The current Tutor LMS curriculum contains the following learning areas and activities.
Analytical problem framing
- Turn a business question into measurable analytical objectives
- Define decisions, stakeholders and success criteria
- Quiz: Data Analytics — Theory Check
Data literacy and preparation
- Recognise data types, structures and common quality issues
- Create a documented cleaning and transformation plan
Exploratory data analysis
- Summarise distributions, relationships and variation
- Use tables and charts to detect patterns and anomalies
Statistical interpretation
- Use descriptive statistics and uncertainty appropriately
- Avoid common errors in comparison and inference
Insight communication
- Build clear visuals and analytical narratives
- Translate analysis into options, actions and limitations
Professional evidence checkpoint
- Submit a cleaned dataset, reproducible analysis file and decision-ready insight brief in the Analytics Lab
Learning with DatalytIQs
DatalytIQs Academy connects structured learning with applied analysis, evidence-based thinking and professional practice. Use the course curriculum and learning activities as your primary pathway through this course.
Course Content
Analytical problem framing
-
Turn a business question into measurable analytical objectives
-
Define decisions, stakeholders and success criteria
-
Data Analytics — Theory Check
Data literacy and preparation
Exploratory data analysis
Statistical interpretation
Insight communication
Professional evidence checkpoint
Student Ratings & Reviews
