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Skill Details

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Skill Overview

With no coding or programming experience required, by joining this course you will begin building a high-level of data literacy knowledge. You will also learn to weigh technologies and their potential impact and discover a confidence in numbers you didn’t realise existed.

Whichever industry you work in, data and AI literacy is fast becoming a fundamental and sought-after skill, and it’s increasingly important for decision-makers to have the ability to integrate this knowledge into the strategic choices they make.

Develop the skills needed to make impactful, data-driven decisions within your business, and build your conceptual understanding of AI and how it can be applied within your organisation.

This practical four-day course will touch on three main themes – the different tools available to analyse and derive predictions, the transparency of models and understanding human bias in data models.

Day one: 

Understand the importance of visual analytics and storytelling
Explore the uses and misuses of statistics
Interact with pre-designed data visualisations, AI models and dashboards
Discover the principles of unsupervised learning and cluster analysis
Explore Alliance Manchester Business School’s Data Visualisation Observatory 
Day two:

An introduction to supervised and deep learning in practice
Understand the difference between Classification vs Regression
Critically evaluate and compare pre-designed models to assess predictions and interpretability
Day three: 

Explore reinforcement learning and optimisation
Understand simulation, including modelling of uncertainty
An introduction to fairness and model boundaries

Day four: 

Explore multi-criterion decision-making within group settings
Understand the difference between augmentation vs automation of decision making
Deliver a presentation critically analysing a data set of your choice and discuss at least one AI application with the data

50% funding available for Greater Manchester based organisations. 

Duration: 4 Days
Delivery: Face To Face
Location: Executive Education Centre, Alliance Manchester Business School

Learning Objectives

Personal Objectives:

1. Strengthen your decision-making capabilities with data and AI models and outputs

2. Understand the ethical, legal and social responsibility issues around the use of AI

3. Develop data literacy and data storytelling capabilities

4. Discover the technical terms and key questions to ask about AI models

5. Gain expert insights through real-world case studies and industry speakers

 Organisational Objectives:

1. Strengthen your ability to spot risks and opportunities for your organisation through data interpretation skills

2. Streamline your organisation’s decision-making and discussions surrounding data and AI when working with and managing technical teams

3. Exceed organisational objectives by improving productivity and performance through data and analytics

4. Confront key issues your organisation may be facing around the deployment of data and AI models and understand how to resolve them

Funding Option

Funding Eligibility

50% funding for Greater Manchester based organisations.

Skill Price ex VAT (£)

Skill Length

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Skill Eligibility (Prerequisites for skill/software requirements)

This course would suit general or technical managers and leaders from a wide range of industries with a basic understanding of data. You should be looking to improve your ability to interpret and critically analyse business data and AI models to meet the needs of your organisation.

No coding or programming experience is required to take part in this course.

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