2771 Intelligence courses in Sheffield delivered Online

The Real Estate Analyst course has been taught non-stop to global real estate firms over the last 25 years, and is without doubt the core financial modelling training in your career portfolio. Whether you have an upcoming financial modelling test for a new job or an APC exam, the Real Estate Analyst course is the choice for you.

Sales and trade exist because people need and are looking for that which is better than what they have. Sometimes, they don’t even know that they have a need. The critical piece of this process is “connecting the dots.” We must demonstrate that we have listened respectfully, and, as experts, show how the needs are tied directly to our answer. Just because they have a need and we have a solution doesn’t mean that it’s a guaranteed sale. Connecting their needs to our solution is precisely what the Sales Presentation Skills class is all about. Outcomes – Participants will be able to: Research and understand each unique customer to demonstrate expertise; Conduct productive meetings to discover useful information to formulate the most effective solution(s); Propose plans that are fully aligned with the target’s situation and needs; Increase abilities to engage and motivate the prospect/client through compelling presentations; Convey emotional intelligence enthusiasm and sincerity to get client buy-in; Strengthen professionalism through dynamic story-telling, elevating the level of rapport; and Create positive messages even from negative, modeling a problem-solving, can-do attitude for the audience.   Online Format—Sales Presentation Skills is a 4-hour interactive virtual class. Register for this class and you will be sent ONLINE login instructions prior to the class date. Overall, your professionalism, your teaching style, and the content of the course kept it interesting and easy to follow. We believe in what you have taught us, having tried it first hand, I can honestly say, your course works; your methods and ideas have proven themselves. I look forward to working with you again and again in the future. Alan M. Kriegstein, PresidentALA Scientific Instruments, Inc.

Some of you may have joined us for our February ORSC Community event, Is There Space for Love in Organisations? Thank you to those who joined us, your insights, curiosity, and willingness to explore this complex topic made for a powerful conversation. One thing is clear: this dialogue is far from over. As we navigate shifts in corporate culture, the need to balance masculine energy with love, connection, and relational intelligence is more important than ever. That’s why we’re continuing the conversation in our next Community Event on 29th April. Together, we’ll build on what we uncovered, deepen our practice, and explore how we can actively create workplaces where love and power coexist. Key questions we’ll address: What does love mean in a professional setting? How can love thrive alongside masculinity? Can masculinity be expressed in a loving, intentional way? What does “masculine aggression through a lens of love” look like in leadership and team dynamics? Keith McMahon and Dylan Smith will again guide us through an interactive session. This event isn’t just a discussion—it’s a space for practice, reflection, and transformation. Whether you’re a coach, leader, or someone passionate about building healthier workplace dynamics, you’ll leave equipped to inspire positive change. 📅 Date: February 29th April 📍 Location: Virtual Via Zoom Save the date and join us for this thought-provoking, practice-rich session. Together, let’s reimagine the role of love in a changing corporate world.

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.

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.

This course is for you if you work with people as a leader or manager and are looking at ways to help improve performance by developing emotional intelligence through coaching. The GROW (Goal, Reality, Options, Will) Model is a well-respected tool in coaching and this is explored to improve your questioning and listening techniques. It demonstrates the power of coaching through the use of a structure that enables questioning to flow conversationally and in a logical sequence.