Data Analytics and AI for Business Leaders

Level(s) of Study: Short course
Course Fee:
Free when subscribed to FutureLearn
Start Date(s): On demand
Duration: 3 weeks, 2 hours a week
Study Mode(s): Part-time
Entry Requirements: More information

Introduction:

Data and artificial intelligence are changing how organisations make decisions, measure performance, and plan for the future.

For business leaders, the challenge is not becoming a data scientist. It’s knowing how to turn data and AI into meaningful action.

On this three-week course, you’ll develop the practical literacy to make more confident, evidence-based decisions. From interpreting analytics to questioning AI-generated insights, you’ll focus on what leaders need to know to navigate an increasingly data-driven workplace.

Turn data and AI into better business decisions: Lead data-enabled teams with confidence to drive performance.
Strengthen your data-driven decision making: Discover how data analytics and AI can help you recognise where to create genuine business value.
Turn analytics into actionable insights: Move beyond dashboards and performance metrics to understand what the data is actually telling you.
Build a responsible AI strategy: Explore how multiple factors influence implementation before creating an AI-readiness roadmap for your organisation.

What you’ll study

In completing this course, you‘ll be able to:

Explain the role of data analytics and AI in modern business leadership and how they support evidence-based strategic decisions.
Differentiate between key analytical approaches.
Interpret dashboards, KPIs, AI-powered insights and visual reports to identify meaningful trends and insights.
Develop an understanding of ethical and responsible leadership in using data and AI, ensuring transparency, fairness, and compliance.

The strategic imperative

Moving from intuition-based to evidence-based leadership
Assessing data and AI maturity
Transforming strategic decisions with analytics and AI

The leader’s toolkit for decision-making

Distinguishing descriptive, predictive, and prescriptive analytics
Interpreting and visualising data and AI-driven insights for clarity
Asking better questions of data and AI teams
AI-driven scenario planning and challenging algorithmic bias

The future and the roadmap

Why buying AI tools fails without a data-culture mindset
Responsible and ethical use of AI in business
What’s coming next: Business leaders’ watchlist and organisational AI-readiness roadmap

Entry requirements

This course is designed for business leaders, managers, and decision-makers who want to use data analytics and AI with greater confidence. It’s ideal for professionals leading strategy, performance, transformation, or data and AI-enabled teams.