344 Summary courses in Cardiff delivered Live Online

Project Leadership Skills: Virtual In-House Training To be effective within an organization, project managers need to have a wide variety of skills and abilities. Included among these are: creating and executing on a vision; motivating others; influencing without authority; networking; communicating up, down and laterally; negotiating; managing stakeholders; and managing conflict. This highly interactive workshop focuses on building the soft skills that are critical to leading a team and creating sustainable business change. Participants will gain insight into the social science as well as the brain science behind motivating and empowering others. They will learn and experiment with a variety of influencing strategies and tactics. Working in pairs as well as small groups, they will collaborate with others to brainstorm, share experiences, and apply concepts to everyday challenges. Participants will also discover their personal communication preferences, strengths, and blind spots and will gain insight into how best to communicate with others they find 'difficult.' They will gain insight into managing the people side of change, learning strategies for dealing with each step in the process. Hands-on negotiation and conflict management activities enhance the theoretical learning, grounding it in real life and making it actionable. Interweaving role play with experiential learning and group activities, this course will help participants refine a skill set that is invaluable to their organization, and one that transfers easily across their professional and personal lives. What You Will Learn At the end of this course, you will be able to: Explain the importance of vision in driving motivation and engagement Apply science-based research to better motivate those around you Strategically leverage both personal and positional power to achieve positive project results Determine influencing and networking strategies needed for personal growth Identify ways to problem solve communication challenges when others have different personality styles Connect stakeholder expectations to project success criteria Assess key stakeholders across various dimensions of complexity Apply the four rules of principled negotiation to a real-life conflict situation Recognize key aspects of a physiological response to conflict Utilize selected tools and techniques to 'defuse' an emotional situation Leverage various strategies and tactics to successfully deal with ambiguity at work Getting Started / Foundation Concepts Introductions Course structure, goals, and objectives Beginning a personal action plan Managing Vision and Purpose / Motivating Others Communicating and aligning around vision Tying the present to the future The importance of purpose The art and science of motivation Networking and Influencing Positive politics and project success Types of power within organizations Power and influence Networking best practices Communication The medium and the message Personality and communication styles Communication challenges Stakeholder Management and Negotiation Identifying stakeholders Analyzing stakeholders Negotiation basics Principled negotiation Conflict Management Dynamics of conflict The anatomy of conflict Conflict management approaches and tools Dealing with ambiguity Summary and Next Steps Key concepts review Creating your personal action plan

Access Introduction generally navigate through Access Database, get data fast, update data records by entering, update data and delete data. Run available report, use available forms, create simple forms and reports via wizards. This style tuition helps to maximise the value that you get from the day.

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

Project Leadership Skills: In-House Training To be effective within an organization, project managers need to have a wide variety of skills and abilities. Included among these are: creating and executing on a vision; motivating others; influencing without authority; networking; communicating up, down and laterally; negotiating; managing stakeholders; and managing conflict. This highly interactive workshop focuses on building the soft skills that are critical to leading a team and creating sustainable business change. Participants will gain insight into the social science as well as the brain science behind motivating and empowering others. They will learn and experiment with a variety of influencing strategies and tactics. Working in pairs as well as small groups, they will collaborate with others to brainstorm, share experiences, and apply concepts to everyday challenges. Participants will also discover their personal communication preferences, strengths, and blind spots and will gain insight into how best to communicate with others they find 'difficult.' They will gain insight into managing the people side of change, learning strategies for dealing with each step in the process. Hands-on negotiation and conflict management activities enhance the theoretical learning, grounding it in real life and making it actionable. Interweaving role play with experiential learning and group activities, this course will help participants refine a skill set that is invaluable to their organization, and one that transfers easily across their professional and personal lives. What You Will Learn At the end of this course, you will be able to: Explain the importance of vision in driving motivation and engagement Apply science-based research to better motivate those around you Strategically leverage both personal and positional power to achieve positive project results Determine influencing and networking strategies needed for personal growth Identify ways to problem solve communication challenges when others have different personality styles Connect stakeholder expectations to project success criteria Assess key stakeholders across various dimensions of complexity Apply the four rules of principled negotiation to a real-life conflict situation Recognize key aspects of a physiological response to conflict Utilize selected tools and techniques to 'defuse' an emotional situation Leverage various strategies and tactics to successfully deal with ambiguity at work Getting Started / Foundation Concepts Introductions Course structure, goals, and objectives Beginning a personal action plan Managing Vision and Purpose / Motivating Others Communicating and aligning around vision Tying the present to the future The importance of purpose The art and science of motivation Networking and Influencing Positive politics and project success Types of power within organizations Power and influence Networking best practices Communication The medium and the message Personality and communication styles Communication challenges Stakeholder Management and Negotiation Identifying stakeholders Analyzing stakeholders Negotiation basics Principled negotiation Conflict Management Dynamics of conflict The anatomy of conflict Conflict management approaches and tools Dealing with ambiguity Summary and Next Steps Key concepts review Creating your personal action plan

Duration 3 Days 18 CPD hours This course is intended for Individuals involved in IT development, IT operations or IT service management; Those whose role is touched by DevOps and continuous delivery, such as the following IT roles: DevOps engineers, Product owners Integration specialists, Operations managers, Incident & change managers, System administrators, Network administrators, Business managers, Automation architects, Enterprise architects, Testers Overview Know the emergence of DevOps Know the core concepts and principles of DevOps Know what DevOps means for you as professional and for your organization Know the essence of a DevOps culture Understand the key elements of a DevOps culture Know the important aspects when creating a DevOps culture Know the Operational models of DevOps Understand the need for autonomous teams Understand the impact of DevOps on Architecture with respect to deployment Understand governance within DevOps teams Understand Agile, Scrum and Kanban and how these practices relate to one another Understand how ITSM processes relate to practices in a DevOps culture Understand how lean is used to optimise processes Know how to provide a Value Stream Map for a given process Understand the way to harvest new and innovative ideas Know the impact of automation on Software Delivery processes Understand the benefits and core principles of Continuous Delivery Describe the key cloud principles for DevOps organisations Know the relevance of monitoring and logging DevOps This course is designed to provide the core education necessary to build your DevOps vocabulary and to understand its principles and practices. With the help of key DevOps concepts and terminology, real-life case studies, examples and interactive group discussions and extensive exercises in each module you will acquire a fundamental understanding of DevOps. Introduction Let?s Get to Know Each Other Overview Course Objectives Mapping of the Competence Model with the Course Modules Course Agenda Type of Activities Exam Course Book Technical Glossary Group Activity Module Summary DevOps Introduction Module Objectives Module Topics Emergence of DevOps Core Concepts of DevOps DevOps Agile Skills Association (DASA) Module Summary Module End Questions Culture Module Objectives Module Topics Essence of a DevOps Culture Key Elements of DevOps Implementation of a DevOps Culture Module Summary Module End Questions Organization Module Objectives Module Topics Organizational Model Autonomous Teams Architecting for DevOps Governance Module Summary Module End Questions Processes Module Objectives Module Topics Process Basics DevOps in Relation to ITSM Agile and Scrum 12 Principles of the Agile Manifesto Optimizing Processes Using Lean Business Value Optimization and Business Analysis Using Story Mapping Module Summary Module End Questions Automation Module Objectives 6A Automation Concepts Automation for Delivery of Software Continuous Delivery Core Concepts Continuous Delivery Automation Concepts Continuous Delivery Automation Focus Topics 6B Data Center Automation Emergence of Cloud Technology and Principles Cloud Services Concepts in a DevOps Organization Automated Provisioning Concepts Platform Product Characteristics and Application Maturity Module Summary Module End Questions Measure and Improvement Module Objectives Module Topics Importance of Measurement Choosing the Right Metrics Monitoring and Logging Module Summary Module End Questions

Online Asset Management Diploma course. Sit the IAM Diploma anywhere in the world

Lean Six Sigma Black Belt Certification Program: In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Effective Presentation Skills (Virtual) In today's results-oriented, global working environment, the ability to create and deliver presentations effectively is a necessary skill set for people at all levels of an organization. Regardless of your role, it's important to know how to synthesize your ideas into a coherent and focused narrative, add visuals that support and reinforce your message, and deliver it in a way that resonates with your audience. In this highly interactive course, we will unpack and practice some of the tools and techniques used by top speakers and influencers all over the world. In this engaging two-day course, you will plan, write, refine, practice, and deliver a presentation to the class. Your presentation will be filmed on both days, and you will leave the course with a flash-drive copy of your videos; participants of the virtual classroom workshop should be prepared to present via webcam. In addition to discovering and enhancing your own personal delivery style, you will learn how to create an overarching goal for your presentation and then organize and structure it for maximum impact. You'll gain insight into how to anticipate your audience's needs and tailor the content and delivery in a way that connects with them and sustains their attention and engagement. You will also learn skills that will help you control nervous energy, remain focused on and attuned to your audience, improvise under pressure, deal effectively with questions, and build a compelling call to action. What you will Learn At the end of this program, you will be able to: Construct an effective presentation goal statement, opening, body, and closing that connect with an audience Analyze an audience's needs and style preferences, including relevant DiSC®-related elements Deliver a complete criteria-based presentation that will persuade others Align usage of visuals as well as verbal and non-verbal techniques to maximize the impact of your presentation Getting Started Introductions and social agreements Course structure Course goals and objectives Opening activities Planning and Organizing Video: 'The Art of Misdirection' Setting your presentation goal Writing a goal statement Analyzing your audience Applying the 'reality' test Creating and strengthening supports Structuring your presentation 5 components of an effective opening Presentation body Presentation closing Write your presentation opening Audience Analysis Video: 'How to Tie Your Shoes' Everything DiSC® introduction Audience DiSC® Styles Analyzing your audience Further audience analysis Effective Delivery Delivery challenges and in-person Keeping your audience engaged Your body as your instrument Verbal / paraverbal elements Body stance and nonverbal communication What are your 'tells?' Controlling nervousness Staying attuned to your audience Responding to questions Review and edit your opening Deliver your opening Visuals and Enriching Elements Using images in your presentation Guidelines for visual composition Using questions to engage your audience The power of the pause Practicing and Applying What You've Learned Preparation Delivery Feedback Opportunity to put into practice the program content and receive a video copy Summary and Next Steps What did we learn and how can we implement this in our work environment? Your personal action plan

Online Asset Management Diploma course. Sit the IAM Diploma anywhere in the world. February to March 2024

Front-line communication plays a vital role in shaping the public perception of every organisation. This course is designed to help delegates organise their ideas and communicate clearly and effectively through email. By improving written communication skills, delegates will become more concise, communicate with conviction, and foster meaningful dialogue with their audience. These skills are essential for professionals who interact with the public, as improved communication leads to greater internal and external customer satisfaction. Delegates will learn how to: Write clearly and professionally, enhancing public perception of expertise Communicate more efficiently in writing, reducing wasted time and increasing profitability Craft concise, rapport-building messages for internal and external customers, fostering productivity and a positive workplace environment Topics Covered: Benefits of using email Determining the purpose of an email Steps to take before writing Inflection in written messages Effects of instant messaging and text messaging on communication Basic email structure and planning Writing effective subject lines Paragraph structure and organisation Including relevant details and summarising problems effectively Proper use of CC and BCC fields Why typing in all caps is considered shouting! Proofreading techniques This Email Etiquette course is a 90-minute interactive virtual session. Upon registration, delegates will receive online login instructions prior to the class date. This format allows delegates to enhance their skills conveniently from their home or office while improving their professional communication abilities.