205 Intelligence courses in London

Pivot tables are really very easy to create, but very powerful. By using Excel pivot tables, one can get very interesting and valuable business intelligence from your data in very little time. This short session aims to give you the techniques to use this valuable Excel tool creatively. It is enough time to learn a lot about Excel Pivot Tables, but there is very little time for other questions.

SQL Queries Course, 1-Day. Basic SQL syntax. This course is good for any database, covering standard SQL. Most attendees are in-work IT Professional. Private individuals are also very welcome.

Data Visualization Courses London. In this Power BI Course, you will learn how to translate data trends, summaries, statistics and insights from your data into powerful and inspirational visualizations This course is ideal for managers and data analysts who need to make business decisions based on data.

Business Intelligence 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 “ISO 42001:2023 Lead Implementer Course” is designed to provide participants with the knowledge and skills necessary to lead the implementation of an Artificial Intelligence Management System based on ISO 42001:2023. This comprehensive course covers the key principles, requirements, and best practices for establishing and maintaining an effective Artificial Intelligence management system. Participants will learn how to develop, implement, and manage processes that comply with the ISO 42001 standard.

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 “ISO 42001:2023 Lead Auditor Course” integrates the principles of ISO 42001:2023, the International Standard for Artificial Intelligence Management, with the methodologies outlined in ISO 19011:2018, the Guidelines for Auditing Management Systems. The course equips participants with the skills and knowledge required to lead Artificial Intelligence audits effectively, ensuring compliance with ISO 42001:2023, and applies the principles of ISO 17011:2017 for conformity assessment bodies.

Not everyone is born with it, but unlike IQ, Emotional Intelligence can be acquired and improved with practice.

Emotional Intelligence (In-Person) Emotional Intelligence is a set of emotional and social skills that collectively establish how well we: Perceive and express ourselves Develop and maintain social relationships Cope with challenges Use emotional information in an effective and meaningful way It is a skill set that transfers across all categories of relationships. It is also a predictor of success - both in life and at work. This highly-interactive course delivers a practical approach to developing, improving, and sustaining effective and mutually beneficial relationships. The design of the course involves individual reflection and paired activities, interwoven with small and large group interactions. The EQ-i 2.0® assessment reports will be debriefed over the course of the two days. In addition, participants will delve into their personal strengths and blind spots, and will explore topics including: the neuroscience of emotion, the connection between empathy and performance, and how communication styles impact our perceptions of self and other. Role-play activities give participants the opportunity to try out new behaviors and techniques. The program includes: A personal behavioral profile, the results of which you will bring to your training 2-day highly interactive workshop and experiential learning Optional professional coaching activities initiated in class that can continue over the four months after class ends What you will Learn Recognize your interpersonal strengths and potential blind spots regarding Emotional Intelligence Identify the five domains within the EQ-i 2.0 assessment model Summarize what neuroscience research has discovered about emotions and actions Recognize ways that human beings are physiologically impacted by stress Articulate ways to develop and maintain strong working relationships Describe how emotional intelligence translates into high performance Make use of the EI model and associated competencies Employ strategies for enhancing leadership through Emotional Intelligence Getting Started Foundation Concepts The biology of emotion Why Emotional Intelligence matters The impact of EI on performance The EQ-I 2.0 Model Overview of the EQ-i 2.0 framework Exploring your report Balancing your EI domains Self: Awareness and Sensitivity Self-awareness and empathy Perception vs. reality Acting by choice, not impulse Other: Communication and Relationship-Building Elements of effective communication Communication styles Communication techniques Neuroscience and Behavioral Change Insights from social neuroscience Making a change Summary and Next Steps

Emotional Intelligence: In-House Training Emotional Intelligence is a set of emotional and social skills that collectively establish how well we: Perceive and express ourselves Develop and maintain social relationships Cope with challenges Use emotional information in an effective and meaningful way It is a skill set that transfers across all categories of relationships. It is also a predictor of success - both in life and at work. This highly-interactive course delivers a practical approach to developing, improving, and sustaining effective and mutually beneficial relationships. The design of the course involves individual reflection and paired activities, interwoven with small and large group interactions. The EQ-i 2.0® assessment reports will be debriefed over the course of the two days. In addition, participants will delve into their personal strengths and blind spots, and will explore topics including: the neuroscience of emotion, the connection between empathy and performance, and how communication styles impact our perceptions of self and other. Role-play activities give participants the opportunity to try out new behaviors and techniques. The program includes: A personal behavioral profile, the results of which you will bring to your training 2-day highly interactive workshop and experiential learning Optional professional coaching activities initiated in class that can continue over the four months after class ends What you will Learn Recognize your interpersonal strengths and potential blind spots regarding Emotional Intelligence Identify the five domains within the EQ-i 2.0 assessment model Summarize what neuroscience research has discovered about emotions and actions Recognize ways that human beings are physiologically impacted by stress Articulate ways to develop and maintain strong working relationships Describe how emotional intelligence translates into high performance Make use of the EI model and associated competencies Employ strategies for enhancing leadership through Emotional Intelligence Foundation Concepts The biology of emotion Why Emotional Intelligence matters The impact of EI on performance The EQ-I 2.0 Model Overview of the EQ-i 2.0 framework Exploring your report Balancing your EI domains Self: Awareness and Sensitivity Self-awareness and empathy Perception vs. reality Acting by choice, not impulse Other: Communication and Relationship-Building Elements of effective communication Communication styles Communication techniques Neuroscience and Behavioral Change Insights from social neuroscience Making a change