Data Literacy for Managers and Leaders

Course Category : Data Management

A management-focused programme that enables leaders to understand, interpret, evaluate, and communicate data effectively while applying evidence-based insights to improve organisational decision-making.
Duration: 5 Days
Level: Intermediate to Advanced

Introduction

Data literacy has become a fundamental leadership competency in organisations where planning, performance management, and decision-making increasingly depend on evidence. Managers do not need to become specialist data analysts; however, they must be capable of asking appropriate questions, interpreting indicators, recognising patterns, and assessing information reliability before acting on it.
This course develops an integrated managerial understanding of data, covering data sources and quality, metrics and visual interpretation, analytical reasoning, communication with analytics teams, and the disciplined use of evidence in strategic and operational decisions..

Targeted Audience

Executives and senior managers
Department and functional managers
Heads of sections and teams
Project and programme managers
Strategy, planning, and performance managers
Leaders involved in data-driven decision-making
Professionals preparing for leadership and supervisory roles

Targeted Skills

Understanding essential data concepts and terminology
Assessing data quality and reliability
Interpreting managerial metrics and indicators
Reading tables, charts, and dashboards
Distinguishing correlation, causation, and unsupported inference
Formulating analytically relevant management questions
Evaluating evidence before making decisions
Communicating effectively with data and technical teams
Developing clear data-informed management narratives

Expected Outcomes

Interpret essential data concepts and terminology from a management perspective.
Assess whether data is sufficiently reliable and relevant for a specific decision.
Read performance indicators, metrics, and visualisations critically.
Identify misleading interpretations and conclusions unsupported by evidence.
Frame management questions that can be translated into analytical requirements.
Interpret analytical findings within their organisational context.
Communicate more effectively with analysts and specialist data teams.
Apply data more systematically to managerial and strategic decisions.

Training Topics Index

The meaning and strategic value of data literacy
Types and sources of organisational data
Distinguishing data, information, and insight
Understanding the journey from raw data to decision
Roles of managers and analysts in decision-making

Data quality dimensions accuracy, completeness, consistency, and timeliness
Understanding metrics, ratios, averages, and rates of change
Key performance indicators and organisational objectives
Selecting meaningful measures and avoiding misleading metrics
Assessing data reliability before managerial use

Principles for interpreting tables and charts
Identifying trends, changes, patterns, and anomalies
Understanding managerial and executive dashboards
Comparisons, time periods, baselines, and benchmarks
Recognising misleading visualisations and interpretation errors

Translating management problems into analytical questions
Distinguishing correlation from causation
Understanding context and assumptions in analytical findings
Cognitive biases in data-informed decisions
Integrating evidence, analysis, and managerial judgement

Defining effective data and analytical requirements
Asking critical questions about analytical findings
Developing persuasive data-informed narratives
Communicating with analysts, technical teams, and stakeholders
Building an organisational culture of responsible data use

Course Features

Updated and Interactive Content
Hypothetical Examples and Case Studies
Pre- and Post-assessments to Measure Impact
Verified Certificate with a QR Verification Code

Data Literacy for Managers and Leaders