2831 Intelligence courses in Cardiff delivered Online

Join Us for a Webinar: Curious About AI – Empowering You Through Innovation We’re excited to invite you to an engaging virtual session, Curious About AI, where Boris Puncer will explore how artificial intelligence is transforming the way we work and unlocking new opportunities across the business. AI is more than just a technology shift—it’s a powerful enabler of change. Whether you're already familiar with AI or just starting to explore its potential, this session will provide valuable insights into how it can enhance your productivity and creativity. In this session, you’ll discover: How AI is being used to optimise everyday processes Ways AI can help enhance your personal productivity The role of AI in driving innovation across teams and functions How to leverage AI to create more time for strategic, creative thinking Real examples of how AI is already making an impact in our organisation Don’t miss this opportunity to learn how AI can empower you in your role and support a culture of innovation and efficiency. Date: Monday, 12th May Time: 10:00 – 11:00 Location: Virtual Register Now!

CRRUK equips professionals with the concepts, skills and tools to build conscious, intentional relationships, and to coach relationship systems of any size.

Tea 'N Chat free event - Talk with LINETTE MANUEL about 3D Fashion printing.

The Master Practitioner in Emotional Intelligence course explores the concept of emotional intelligence in detail building upon what you know to give you a much deeper understanding. The Master Practitioner in Emotional Intelligence course covers the application of emotional intelligence in different circumstances to improve and enhance performance throughout an organisation and extends to decision making stakeholders outside the organisation. The skills and competencies are also applicable in many situations in families, communities and social settings.

Business Intelligence: In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

The Practitioner in Emotional Intelligence course explores the concept of emotional intelligence in detail building upon what you know to give you a much deeper understanding. The course covers the experience of the inner world; how attitudes, beliefs, values and preferences drive behavioural responses and how feelings can be regulated with more effectiveness.

Join us online on May 15, 2025 when IIL brings together experts from Google, IBM, Microsoft, BAE Systems, and many more to break down the future. Discussions, debates and presentations will cover making AI trustworthy, its many uses, what “AI Agents” are all about, and the exciting things to come! No matter where you stand with AI – just beginning, a true believer, a critical thinker, a forward-looking innovator, or a practical user – AI Frontiers 2025 guarantees valuable takeaways for you.

Business Intelligence: Virtual In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

This course explores little known ways that emotional intelligence can be used in the workplace by investigating what it is and what it is not. It covers the main models of emotional intelligence and what they mean but more importantly how they can be practically applied at work.

Learn the principles of emotional intelligence about how your emotions influence the way you understand yourself, how you build relationships, how you manage stress and how you make decisions. We all have emotions! You will need an open mind and a willingness to learn about how to positively embrace working with your intelligence and your emotions. You should be committed to developing your ability to manage the emotional dimensions of life.