143 Courses in London

Critical Thinking and Creative Problem Solving: In-House Training Two critical skillsets for the future of work are critical thinking and creative problem solving. These modes of working and thinking intersect and overlap; both are necessary and both can be taught. Having the ability to exercise creativity while at the same time applying structure and discipline to the thinking process is a key competency in the twenty-first century workplace. This course explores the interplay between critical and creative thinking, and the necessity of each to effective problem solving and decision making. Participants will learn a variety of techniques to apply critical thinking to real-life scenarios. They will experiment with different problem-solving approaches and will learn about cognitive influences on our decisions and choices. The course delves into the business value of creativity and involves participants in actively integrating criticality, creativity, and problem solving. What you will Learn At the end of this program, you will be able to: Explain basic concepts of problem solving Infer types of cognitive biases that impact decision making Utilize types of root cause analysis Differentiate among obstacles to sound decision making Apply a variety of problem-solving approaches / processes to existing challenges Evaluate alternative solution methods using various techniques Analyze real world problem scenarios to determine the lateral thinking type needed to address them Foundation Concepts Definitions Thinking modes and cognitive bias Basic problem-solving framework Problem Definition and Solution Generation Root cause analysis Basic problem-solving obstacles Generating alternative solutions Evaluating Alternatives Critical thinking guidelines Obstacles to sound decision making Tools for evaluating alternatives Exploring Lateral Thinking Problem-solving challenge Workplace application

Overview This is particularly important for PPP projects where long-term commitments are made now based on bankability, value for money and risk allocation. During the course, participants will gain knowledge and skills on the frameworks, tools, and methodologies necessary to build quantitative models for financial decision-making in order to improve the financial viability and bankability of PPP projects. Participants will master modelling frameworks on capital budgeting, risk measurement, regression analysis and Monte Carlo Simulation among others.

Overview This is particularly important for PPP projects where long-term commitments are made now based on bankability, value for money and risk allocation. During the course, participants will gain knowledge and skills on the frameworks, tools, and methodologies necessary to build quantitative models for financial decision-making in order to improve the financial viability and bankability of PPP projects. Participants will master modelling frameworks on capital budgeting, risk measurement, regression analysis and Monte Carlo Simulation among others.

Overview Accounting is the methodical approach of updating and keeping track of all the required information related to financial transactions. This course is designed to gain knowledge of how to interpret and analyse financial statements effectively. This course will emphasize in-depth knowledge of financial reporting elements used in Advance Accounting highlighting transactions recognizing, differentiating and efficiently recording information.  Advanced Accounting Techniques course covers difficult complex accounting topics like forecasting, hedging, data aggregation, interval accounting, segment reporting and many more including deeply understanding the financial statement Advanced accounting techniques were developed to provide information appropriate for decision-making in changing internal and external environments. 

Facilitation Skills Training

Facilitation Skills for Business Analysts: In-House Training This course is part of IIL's Business Analysis Certificate Program (BACP), a program designed to help prepare individuals pass the IIBA® Certification exam to become a Certified Business Analysis Professional (CBAP™). Business analysts are communicators who bridge the gap between people with business needs and knowledge and the people who will provide solutions. Business analysts are continuously involved in communications with stakeholders and developers as they create the solution to business problems. They participate in information-gathering sessions including interviewing, joint requirements definition, and Joint Application Design (JAD) workshops which are used to streamline information gathering and get immediate validation from user representatives. The business analyst is also involved with negotiating the solution with the stakeholders, upper-level management, and the developers, mediating among the groups when disagreements take place, and influencing the results of decisions during the solution cycle. This course teaches the methods needed to organize and run information-gathering events. It combines the basics of graphic decision making and modeling with facilitation, communication, and meeting management skills. What you will Learn At the end of this program, you will be able to: Identify the major touch points between key BABOK® Guide knowledge areas and business analysis communication Describe the facilitation skills that are most supportive of those intersections Improve your ability to apply these skills in the context of your business analyst functions Foundation Concepts The role of the Business analyst (BA) An Introduction to the BABOK® Guide Business analyst roles and the product / project life cycle (PLC) Facilitation skills for the business analyst The BABOK® Guide and Communication An introduction to the communication process Addressing basic communications challenges Planning business analysis communication Communication and BABOK® Guide tasks Targeted Elicitation Techniques Synergy between communication and targeted elicitation techniques Preparing for elicitation Cornerstone targeted technique: interviews Other targeted elicitation techniques Related general communication skills Group Elicitation Techniques Synergy between requirements communication and group elicitation techniques Cornerstone group elicitation technique - requirements workshops Other group elicitation techniques Related general communication skills - meeting management best practices Related general communication skills - facilitating best practices Process / Model-Based Elicitation Techniques Synergy between requirements communication and process / model-based elicitation techniques Process / model-based elicitation techniques Related interpersonal skills - problem solving and decision making Investigative Elicitation Techniques Synergy between requirements communication and investigative elicitation techniques Cornerstone investigative elicitation technique - document analysis Other investigative elicitation techniques Summary of elicitation techniques by usage in the requirements process Using Presentations, Structured Walkthroughs, and Influencing Structured walkthroughs, presentations, and influencing within BABOK® Guide tasks Cornerstone technique - structured walkthroughs General communication skill - presenting Related interpersonal skill - influencing Special Facilitation Skills - Negotiating and Mediating Negotiating Mediating

Facilitation Skills for Business Analysts This course is part of IIL's Business Analysis Certificate Program (BACP), a program designed to help prepare individuals pass the IIBA® Certification exam to become a Certified Business Analysis Professional (CBAP™). Business analysts are communicators who bridge the gap between people with business needs and knowledge and the people who will provide solutions. Business analysts are continuously involved in communications with stakeholders and developers as they create the solution to business problems. They participate in information-gathering sessions including interviewing, joint requirements definition, and Joint Application Design (JAD) workshops which are used to streamline information gathering and get immediate validation from user representatives. The business analyst is also involved with negotiating the solution with the stakeholders, upper-level management, and the developers, mediating among the groups when disagreements take place, and influencing the results of decisions during the solution cycle. This course teaches the methods needed to organize and run information-gathering events. It combines the basics of graphic decision making and modeling with facilitation, communication, and meeting management skills. What you will Learn At the end of this program, you will be able to: Identify the major touch points between key BABOK® Guide knowledge areas and business analysis communication Describe the facilitation skills that are most supportive of those intersections Improve your ability to apply these skills in the context of your business analyst functions Foundation Concepts The role of the Business analyst (BA) An Introduction to the BABOK® Guide Business analyst roles and the product / project life cycle (PLC) Facilitation skills for the business analyst The BABOK® Guide and Communication An introduction to the communication process Addressing basic communications challenges Planning business analysis communication Communication and BABOK® Guide tasks Targeted Elicitation Techniques Synergy between communication and targeted elicitation techniques Preparing for elicitation Cornerstone targeted technique: interviews Other targeted elicitation techniques Related general communication skills Group Elicitation Techniques Synergy between requirements communication and group elicitation techniques Cornerstone group elicitation technique - requirements workshops Other group elicitation techniques Related general communication skills - meeting management best practices Related general communication skills - facilitating best practices Process / Model-Based Elicitation Techniques Synergy between requirements communication and process / model-based elicitation techniques Process / model-based elicitation techniques Related interpersonal skills - problem solving and decision making Investigative Elicitation Techniques Synergy between requirements communication and investigative elicitation techniques Cornerstone investigative elicitation technique - document analysis Other investigative elicitation techniques Summary of elicitation techniques by usage in the requirements process Using Presentations, Structured Walkthroughs, and Influencing Structured walkthroughs, presentations, and influencing within BABOK® Guide tasks Cornerstone technique - structured walkthroughs General communication skill - presenting Related interpersonal skill - influencing Special Facilitation Skills - Negotiating and Mediating Negotiating Mediating

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

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

Individuals with great leadership skills empower teams to achieve their full potential, make decisions, and stategise well to help organisations thrive. This course provides the knowledge and skills to help you hone your leadership skills.