Course Description
A foundation program designed to strengthen data literacy and help participants read, understand, question, and interpret data before using it for decision making. It covers data types, data quality, metrics, charts, interpretation techniques, bias, and the importance of context. The course also addresses communicating with data, avoiding misleading conclusions, and using evidence to support everyday decisions. It aims to build greater confidence in working with data across different functions and management levels.
Course Objectives
- Understand fundamental data terminology.
- Differentiate data types and measures.
- Read tables, charts, and dashboards.
- Ask effective analytical questions.
- Distinguish correlation from causation.
- Recognize common visualization errors and biases.
- Use performance indicators correctly.
- Communicate a clear data-driven story.
Course Content
- What is data?
- Data types
- Mean, median, and ratios
- Performance indicators
- Reading tables
- Reading charts
- Dashboards
- Framing analytical questions
- Correlation and causation
- Data quality
- Bias and sampling
- Comparisons and context
- Data storytelling
- Decision-making exercises
Target Audience
Employees, supervisors, managers, and users of reports or dashboards; no analytics specialization is required.
Duration
5 training days
