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This course starts with data transformation strategies, exploring capabilities in the Power Query Editor, and data-cleansing practices. It looks at the Advanced Query Editor to view the M language code. This course focuses on advanced DAX measures that include filtering conditions, with a deep dive into time intelligence measures. Like the M query language, DAX is a rich functional language that supports variables and expression references. This course also looks at the creation of dynamic dashboards and incorporates a range of visualisations available in Power BI Desktop and online in the AppSource. The course finishes with a look at setting up end user level security in tables. 1 The query editor Split by row delimiter AddDays to determine deadlines Advanced query editor 2 Fuzzy matching joins Matching inconsistencies by percentage Matching with transformation table 3 Logical column functions Logical functions IF, AND, OR Using multiple conditions Including FIND in functions 4 Editing DAX measures Make DAX easier to read Add comments to a measure Using quick measures 5 The anatomy of CALCULATE Understanding CALCULATE context filters Adding context to CALCULATE with FILTER Using CALCULATE with a threshold 6 The ALL measure Anatomy of ALL Create an ALL measure Using ALL as a filter Use ALL for percentage 7 DAX iterators Anatomy of iterators A closer look at SUMX Using RELATED in SUMX Create a RANKX RANKX with ALL 8 Date and time functions Overview of functions Create a DATEDIFF function 9 Time intelligent measures Compare historical monthly data Create a DATEADD measure Creating cumulative totals Creating cumulative measures Visualising cumulative totals 10 Visualisations in-depth Utilising report themes Create a heatmap Comparing proportions View trends with sparklines Group numbers using bins Setting up a histogram 11 Comparing variables Visualising trendlines as KPI Forecasting with trendlines Creating a scatter plot Creating dynamic labels Customised visualisation tooltips Export reports to SharePoint 12 User level security Setting up row level security Testing user security

Duration 5 Days 30 CPD hours This course is intended for This is a basic-level programming course designed for attendees with prior development experience in another language, such as COBOL, 4GL, Mainframe or other non-object oriented languages. This course is not geared for non-developers. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in core OO coding and Java development skills, coupling the most current, effective techniques with the soundest industry practices. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working within in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand what OO programming is and what the advantages of OO are in today's world Work with objects, classes, and OO implementations Understand the basic concepts of OO such as encapsulation, inheritance, polymorphism, and abstraction Understand not only the fundamentals of the Java language, but also its importance, uses, strengths and weaknesses Understand the basics of the Java language and how it relates to OO programming and the Object Model Work with the Modular system (Project Jigsaw) Understand and use classes, inheritance and polymorphism Understand and use collections, generics, autoboxing, and enumerations Process large amount of data using Lambda expressions and the Stream API Abstract, static and private methods in interfaces Take advantage of the Java tooling that is available with the programming environment being used in the class Java 11 features covered: Using the Local Variable Type in Lambda expressions; Updates made to the String API This course provides hands-on Java 11 training for developers who have little or no prior working knowledge of object-oriented programming languages such as C, COBOL, and 4GL. You will learn the best practices for writing great object-oriented programs in Java 11, using sound development techniques, new improved features for better performance, and new capabilities for addressing rapid application development. Special emphasis is placed on object oriented concepts and best practices. A First Look The Java Platform Using the JDK The Eclipse Paradigm Getting Started with Java Writing a Simple Class Adding Methods to the Class OO Concepts Object-Oriented Programming Inheritance, Abstraction, and Polymorphism Essential Java Programming Language Statements Using Strings Specializing in a Subclass Fields and Variables Using Arrays Local-Variable Type Inference Java Packages and Visibility Object Oriented Development Inheritance and Polymorphism Interfaces and Abstract Classes Introduction to Exception Handling Exceptions Java Developer's Toolboxÿ Utility Classes Java Date/Time Advanced Java Programming Introduction to Generics Lambda Expressions and Functional Interface Working with Collections Collections Using Collections Stream APIÿ Streams Collectors The Java Module System Introduction to the Module System Time Permitting Formatting Strings Introduction to Annotations Java 12 and beyond Additional course details: Nexus Humans Basic Java 11 and OO Programming for Developers New to OO (TT2120-J11) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Basic Java 11 and OO Programming for Developers New to OO (TT2120-J11) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for This course is designed for people who want to learn the Python programming language in preparation for using Python to develop software for a wide range of applications, such as data science, machine learning, artificial intelligence, and web development. Overview In this course, you will develop simple command-line programs in Python. You will: Set up Python and develop a simple application. Declare and perform operations on simple data types, including strings, numbers, and dates. Declare and perform operations on data structures, including lists, ranges, tuples, dictionaries, and sets. Write conditional statements and loops. Define and use functions, classes, and modules. Manage files and directories through code. Deal with exceptions. Though Python has been in use for nearly thirty years, it has become one of the most popular languages for software development, particularly within the fields of data science, machine learning, artificial intelligence, and web development?all areas in which Python is widely used. Whether you're relatively new to programming, or have experience in other programming languages, this course will provide you with a comprehensive first exposure to the Python programming language that can provide you with a quick start in Python, or as the foundation for further learning. You will learn elements of the Python 3 language and development strategies by creating a complete program that performs a wide range of operations on a variety of data types, structures, and objects, implements program logic through conditional statements and loops, structures code for reusability through functions, classes, and modules, reads and writes files, and handles error conditions. Lesson 1: Setting Up Python and Developing a Simple Application Topic A: Set Up the Development Environment Topic B: Write Python Statements Topic C: Create a Python Application Topic D: Prevent Errors Lesson 2: Processing Simple Data Types Topic A: Process Strings and Integers Topic B: Process Decimals, Floats, and Mixed Number Types Lesson 3: Processing Data Structures Topic A: Process Ordered Data Structures Topic B: Process Unordered Data Structures Lesson 4: Writing Conditional Statements and Loops in Python Topic A: Write a Conditional Statement Topic B: Write a Loop Lesson 5: Structuring Code for Reuse Topic A: Define and Call a Function Topic B: Define and Instantiate a Class Topic C: Import and Use a Module Lesson 6: Writing Code to Process Files and Directories Topic A: Write to a Text File Topic B: Read from a Text File Topic C: Get the Contents of a Directory Topic D: Manage Files and Directories Lesson 7: Dealing with Exceptions Topic A: Handle Exceptions Topic B: Raise Exceptions

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

Transform stress into strength with this 4-week course, enhancing resilience, emotional skills, and effective communication for professionals.

Attending this programme will give you the knowledge and skills to transform your communication skills immediately, having learnt: The pros and cons of different communication channels and when best to use them The power of communicating through words, sound and body language Why people behave and communicate differently and how to recognise and adapt to their style What someone's natural behavioural style means when it comes to making decisions How to increase sales through better and more personalised communication How to engage better with audiences of all sizes when presenting

Duration 4 Days 24 CPD hours This course is intended for This advanced course is the third in a series of three classes designed for RPG IV programmers. Programming experience using RPG IV is mandatory when enrolling in this course. You should have attended RPG IV Programming Fundamentals Workshop for IBM i (AS060) and RPG IV Programming Intermediate Workshop for IBM i (AS070). This course is not designed for RPG III programmers who want RPG IV. RPG III programmers should review the agenda carefully before they make a decision to attend this class. Overview Use address pointers and user spaces in RPG IV programs Write database triggers in RPG IV Develop ILE modular objects and package them in service programs Explain the purpose of ILE activation groups Explain the behavior of error handling and percolation in ILE Code an ILE error handling program Call application program interfaces (APIs) from RPG IV program Programmers who can write comprehensive RPG IV programs using the IBM i RPG IV compiler (v7), learn additional skills & techniques. Comprehensive exposure to advanced features of the Integrated Language Environment (ILE) RPG compiler and the IBM i. Programmers who can write comprehensive RPG IV programs using the IBM i RPG IV compiler (v7), learn additional skills & techniques. Comprehensive exposure to advanced features of the Integrated Language Environment (ILE) RPG compiler and the IBM i.

Our courses have been designed by experienced teachers to make getting TEFL qualified as convenient as possible. These online courses are entirely self-paced, meaning you can fit study around your life in a way that works best for you. Throughout the course, you will have the support of your own personal tutor who is with you from beginning to end to mark your work, provide helpful feedback, and answer all your questions. 120-hour Premier Online TEFL Course: 50-hour Online TEFL Course Learn about classroom management, teaching styles and advanced TEFL methodology. Includes units on business English, young learners, and teaching English one-to-one. Study with a personal tutor and meet fellow students on our course forums. 30-hour Online Grammar Course Do not know your irregular verbs from auxiliary verbs? This course will improve your basic grammar and give you the grounding you will need to communicate complicated language rules to a student audience. 20-hour Online Video Course Seeing an English teacher in action is a potent learning tool and really brings the theory to life. Feel free to steal the ideas in these video courses to use in your first lessons. We do not mind! Two 10-hour specialist mini-modules. Two mini-modules designed for specific TEFL jobs, which will help your CV stand out. One 10-hour unit is about teaching online, and the other 10-hour unit will help you teach large classes. Included in the 120-hour Premier Online TEFL Course: Lifetime access to the TEFL Job Centre The TEFL Virtual Educators course doesn’t just train you to teach; it helps you find and be offered great TEFL jobs around the world. From exclusive access to our job vacancies to a lifetime of free TEFL career advice, we’re here to help you kick-start your new career. Internationally recognised TEFL certificate – hard copy & PDF A widely-recognised certificate posted straight to your door which shows your achievements on our course, something you can show to TEFL employers to secure you a job. Personal online TEFL tutor Work through your course with the help of an experienced and qualified TEFL tutor. Throughout the course, you’ll have the same tutor, so you have one point of contact for advice and assistance. Online TEFL Class breakdown Lesson Planning Teaching English Vocabulary Teaching Pronunciation Understanding English Grammar Teaching Receptive Skills: Listening and Reading Teaching Productive Skills: Speaking and Writing Teaching English Grammar Principles of Teaching English as a Foreign Language Materials and Aids for Teaching English/Classroom Management Strategies Using Resources Effectively when Teaching English as a Foreign Language Case Study, CV and Cover Letter, Job Sites and Resources You will explore the latest theories in topics such as second language acquisition and social discourse and have the chance to apply these to your own classroom practice and curriculum development. You will also learn to conduct your own research, compile and analyse qualitative and quantitative data and develop your critical-evaluative skills. These skills will be used on your own research project at the end of the course, as well as in your future career. Core modules: Second Language Acquisition You will focus on the major themes that have emerged from literature on second language learning over the last three decades. You will examine some of the research on the second-language acquisition process, look critically at reports of second-language research, and examine some of the theories which endeavour to interpret research evidence. You will be encouraged to use your own language learning and teaching experience to assess the relative merits of such materials. Discourse in Society You will examine the relationship between language and society and the construction of discourse in various domains. You will explore sociological and sociolinguistic models and theories, such as speech communities, communities of practice and ethnolinguistic vitality, with a particular focus on social variation and stratification across various linguistic levels (phonology, lexicon, syntax). You will explore discourse's notion (or notions) in both its linguistic and wider meaning and its construction in and through society and language use. You will study methods for collecting and transcribing data and discover various linguistic and discourse analysis approaches. These methods and approaches will then be put into context and used in the analysis of the relevant social spheres and domains, such as educational or institutional discourse. Research Methods in Applied Linguistics This module will provide you with an introduction to research methods in preparation for the MA dissertation. It will familiarise you with the basic processes of conducting research, including general methodological approaches as well as research ethics. You will analyse and discuss both qualitative and quantitative data in order to develop your critical-evaluative skills. Materials and Course Design You will explore the factors involved in the design of language courses and teaching materials, reflecting on one possible course design process. You will start with an analysis of the context in which the course will take place, the needs of the learners, and current theories of language and language learning. You will move on to consider how course content can be selected and ordered in a principled way, how assessment relates to course design, and how and when courses should be evaluated. Finally, you will consider the evaluation, adaptation, and creation of course materials. Classroom Theory and Practice You will examine current research on modern classroom operations, exploring key concepts and issues through relevant professional and academic literature. A more practical element will be realised through filmed observation of teachers in practice. You will also be encouraged to reflect on your teaching and learning experience and analyse and discuss your beliefs and attitudes towards learning and teaching. Major Project This module will support you in the preparation and submission of a master’s dissertation, allowing you to explore in-depth a particular topic that reflects your academic interest. Assessment You will show your understanding of theoretical issues and their practical application through a combination of portfolios, classroom observation tasks and critical essays. After completing your final module, you will also research and prepare a 15,000-word dissertation.

Duration 3 Days 18 CPD hours This course is intended for This is an introductory-level XML training course, designed for those needing an introduction to concepts and technologies associated with XML and its related recommendations. Previous experience or knowledge of HTML is helpful but not essential. Overview This course is an intensive, hands-on introduction to XML, XPath, and XSLT. The course is a balanced mixture of theory and practical labs designed to take students from the basic fundamentals of XML through to the related advanced technologies. The students walk through the different standards in a structured manner to enable them to master the concepts and ideas, which are reinforced in the lab exercises. The course starts with the fundamentals of XML, including coverage of DTDs and XML Schema. It then moves on to the XPath and XSLT standards, and how to use them to transform XML documents into other documents such as HTML documents or other XML documents. This course provides indoctrination in the practical use of W3C standards (including XSL and XML Schema) and of implementing tools and technologies. This course is programming language independent, making it useful for Java, .NET, C++, and any other programming orientation. Graduates will hit the ground running, applying XML to projects at both an architectural as well as a line by line coding level. We can easily adapt this course to industry and client specific needs.In addition to valuable knowledge and working examples, students receive a copy of the 'Xtensil' product. This unique software was developed to assist in implementing, testing, and fielding XML applications. Xtensil is used as both a teaching aid and a straightforward, basic, fully functional XML toolkit that students can use on Windows and Linux platforms. Working in a hands-on learning environment student will learn to: Write well-formed XML documents Model business requirements using XML Handle XML reserved characters Validate an XML document with a DTD and with a Schema Centralize data and markup definition with entities Create DTDs and Schemas using XML tools Generate XML documents from databases Write XSL templates to transform XML documents into HTML Integrate XML, XSL and the DOM to implement a complete solution The Extensible Markup Language (XML) is a standard that is enabling a revolution in web applications and business to business interactions. XML is the basis for Wireless Markup Language (WML), Voice Markup Language (VoiceML), Simple Object Access Protocol (SOAP), Web Services, and numerous industry initiatives such as ACORD (insurance), PXML (proposal/RFP) and OTA (travel). Introduction to XML is a three-day, hands-on course geared for software developers who need to understand what XML is and how to use in with today's systems and architectures. This course covers the topics from tags to architectures. The course is a balanced mixture of theory and practical labs designed to take students from a quick review of the basic fundamentals of XML through to the related advanced technologies. The students walk through the different standards in a structured manner to enable them to master the concepts and ideas, which are reinforced in the lab exercises. The course starts with a quick review of the fundamentals of XML before covering XML Schema in detail. It then moves on to the XPath and XSLT covering advanced topics in both. Finally, XML and Web Services security mechanisms and issues are addressed. XML Content Introduction to XML XML Mechanics XML Structure Namespaces Structure Using Schemas XML Formatting CSS and Rendering XML XSL Transformations XSLT and XPath XPath 2.0 and XSLT 2.0 Overview XSL FO (Formatting Objects) Applying XML XML Interoperability XML Performance Improvements Web Services Overview XML Applications Additional course details: Nexus Humans Introduction to XML (TT4300) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Introduction to XML (TT4300) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

“Meaning-Fullness” critiques traditional psychiatric diagnosis, advocating for an existential/phenomenological approach to mental health. We aim to explore the lived experiences on irregular perceptions of reality with an open mind. Each Saturday includes: a live dialogue between Prof. Ernesto Spinelli and an International Existential Therapist; a moment to share your thoughts and feelings with the teachers; and a final integration facilitated by Bárbara Godoy. This series of ten dialogues set out to explore the multifaceted dimentions and complexities associated with Existential Therapies. It attempts to engage with various interpretations of insanity through the lens of patients often painful, confounding, and deeply unsettling life experiences. Meaning- between Prof. Ernesto Spinelli and Dr. Jan Resnick “Meaning-Fullness aims to develop an alternative approach to traditional psychiatric diagnosis of psychopathology through an understanding of the existential vacuum and a phenomenology of language and the body. There is a growing epidemic of mental un-wellness even though there has never been so many psychiatrists and psychologists available. This contradiction demonstrates how a bio-medical approach is far too limited at best and a radical mistake, at worst. Through the use of theory, philosophical discussion and case studies, Meaning-Fullness seeks to elaborate how mental disturbance and emotional suffering, traumatic and dissociative experience, emptiness and meaninglessness, can be understood differently and then worked with in psychotherapy. When an existential/phenomenological perspective informs the therapeutic relationship, terms like treatment, healing, cure, recovery, growth and development, can be seen in a different light from the standard narratives and take on a wholly different meaning.” Dr. Jan Resnick. Dr. Jan Resnick is a senior psychotherapist, supervisor, and author. He has a PhD in Psychology (Psychoanalysis). As founder and Director of Training, he ran a Nationally Recognized and Accredited Registered Training Organisation called The Churchill Clinic for 18 years which became the largest such organisation in Australia for conferring post-graduate qualifications for training Psychoanalytic Psychotherapists. He was the Founding President of the Psychotherapists & Counsellors Association of Western Australia where he later received an Outstanding Achievement Award after serving 10 years on the Management Committee. He was an Editorial Advisory Board Member of the national journal Psychotherapy in Australia for 20 years and currently, an Advisory Board member of Blue Knot Foundation (formerly ASCA – Adult Survivors of Child Abuse). He is accredited by the Royal Australian New Zealand College of Psychiatrists to supervise psychiatry registrars in psychotherapy and has taught in the Advanced Psychotherapy Training Program. He has presented at many conferences including last year in Valencia, Spain for the International Association for Relational Psychotherapy and Psychoanalysis, also for the Mental Health Practitioners Network of Australia, and 3 times for the RANZCP Psychotherapy Section bi-national conference. He runs a supervision group for Psychiatrists practicing psychotherapy for the past 15 years and supervises Developmental Paediatricians at the State Child Development Centre in West Perth. He has presided over 4 mental health charities and has over 100 publications including two books. His book based on his clinical work as a couples’ therapist is How Two Love, Making your Relationship Work and Last. His latest book published by Karnac Books (Oxford) is called Meaning-Fullness, Developmental Psychotherapy and the Pursuit of Mental Health, an existential/phenomenological and relational approach based on his clinical work over more than 47 years. Prof. Ernesto Spinelli was Chair of the Society for Existential Analysis between 1993 and 1999 and is a Life Member of the Society. His writings, lectures and seminars focus on the application of existential phenomenology to the arenas of therapy, supervision, psychology, and executive coaching. He is a Fellow of the British Psychological Society (BPS) as well as an APECS accredited executive coach and coaching supervisor. In 2000, he was the Recipient of BPS Division of Counselling Psychology Award for Outstanding Contribution to the Profession. And in 2019, Ernesto received the BPS Award for Distinguished Contribution to Practice. His most recent book, Practising Existential Therapy: The Relational World 2nd edition (Sage, 2015) has been widely praised as a major contribution to the advancement of existential theory and practice. Living up to the existential dictum that life is absurd, Ernesto is also the author of an on-going series of Private Eye novels. Date and Time: Saturday 19 July from 2 pm to 3 pm – (UK time) Individual Dialogue Fee: £70 Venue: Online Zoom FULL PROGRAMME 2025: 25 January “Knots” with Prof. Ernesto Spinelli and Bárbara Godoy 22 February “Healing” with Dr. Michael Guy Thompson and Prof. Ernesto Spinelli 22 March “Difference” with Prof. Tod DuBose and Prof. Ernesto Spinelli 12 April “Polarisation” with Prof. Kirk Schneider and Prof. Ernesto Spinelli 3 May “Character” with Prof. Robert Romanyshyn and Prof. Ernesto Spinelli 21 June “Opening” with Dr. Yaqui Martinez and Prof. Ernesto Spinelli 19 July “Meaning” with Dr. Jan Resnick and Prof. Ernesto Spinelli 25 October “Invention” with Dr. Betty Cannon and Prof. Ernesto Spinelli 15 November “Hallucination” with Prof. Simon du Plock and Prof. Ernesto Spinelli 13 December “Hysteria” with Bárbara Godoy and Prof. Ernesto Spinelli Read the full programme here > Course Organised by: