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Whether you're leading a team or managing relationships across departments, the Managing & Influencing Stakeholders Mini Bundle equips you with the practical skills to thrive. Designed for career climbers, this bundle focuses on what employers want in team players and emerging leaders: credibility, communication, and clarity. With a powerful mix of Team Leader, Problem Solving, Report Writing, MS Word, and HR, this is your fast-track to influence and impact in the workplace. Description Success in stakeholder management isn’t just about communication — it’s about control, clarity, and leadership. This bundle is your shortcut to gaining that edge. With focused training in Team Leader, Problem Solving, Report Writing, MS Word, and HR, you’ll build a profile that speaks directly to hiring managers in professional, public, and private sectors. Report Writing and MS Word remain essential for documentation, briefings, and cross-team collaboration. Pair that with strong Team Leader skills and a foundation in Problem Solving, and you’ve got the blueprint for influencing internal and external stakeholders. Add HR to the mix, and you demonstrate a full-spectrum understanding of team dynamics, compliance, and workplace systems. This bundle is ideal for those targeting leadership assistant roles, HR support, operations coordinators, executive support, or stakeholder liaisons. And as industries tighten hiring criteria, having a clear package like this gives you an undeniable advantage. FAQ Q: What types of jobs align with this bundle? A: Stakeholder coordinator, admin lead, HR officer, operations assistant, junior project manager, and internal communications roles. Q: Will this bundle help with promotions or stepping into leadership roles? A: Yes. The combination of Team Leader, Problem Solving, Report Writing, MS Word, and HR prepares you for mid-level and senior support responsibilities. Q: Is this suitable for people who work in HR or admin already? A: Perfectly. It reinforces your core skills and adds strategic communication and stakeholder confidence. Q: What makes this different from a general admin bundle? A: This bundle is centered around influence and clarity in communication — key elements in managing stakeholders — not just admin tasks.

Medical offices rely on capable professionals to keep systems moving. The Medical Secretary and PA Mini Bundle is your step toward securing roles that demand attention to detail, confidence, and clear communication. Covering report writing, administrative assistant, virtual assistant, first aid, and health and safety, it’s built for the fast-paced world of modern healthcare admin and executive support. If you’ve ever thought about working behind the scenes in the medical field—this is your cue to act. Description The Medical Secretary and PA Mini Bundle delivers career-ready appeal across healthcare, personal assistance, and medical office roles. From mastering documentation like report writing, to operating as an administrative assistant, assisting virtually as a virtual assistant, and managing urgent needs through first aid and health and safety understanding, this bundle hits all the right notes for recruiters. Busy professionals in hospitals, private clinics, and health-focused offices are actively hiring support staff with fluency in report writing, background in first aid, and solid awareness of health and safety protocols. This combination shows that you're prepared to handle administrative pressure and urgent scenarios with confidence. The value here isn't just in what you learn—it's in how quickly you become employable. FAQ Q: Who benefits most from this bundle? A: Anyone aiming for a job as a medical secretary, executive assistant, or virtual PA. Q: Is report writing really a key skill for medical admin? A: Yes—accurate, compliant documentation is vital across all healthcare roles. Q: Will this help with NHS applications? A: Definitely. NHS and private employers want candidates with first aid, health and safety, and administrative awareness. Q: Can I use this bundle for hybrid or remote work? A: Yes. The virtual assistant and administrative assistant skills are adaptable to any setting. Q: Is this suitable for beginners? A: Absolutely. No prior healthcare or admin experience required. Q: Is now a good time to join? A: Yes—jobs are available now, and competition will only increase.

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization. Overview After completing this course delegates will be capable of writing effective R code to manipulate, analyse and visualise data to enable their organisations make better, data-driven decisions. This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualisation in R. Course Outline Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. The R programming language is one of the most powerful and flexible tools in the data analytics toolkit. This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualisation in R. Mastery of these techniques will allow delegates to immediately add value in their work place by extracting valuable insight from company data to allow better, data-driven decisions. The course will explore the following topics through a series of interactive workshop sessions: What is R? Basic R programming conventions Data structures in R Accessing data in R Descriptive statistics in R Statistical analysis in R Data manipulation in R Data visualisation in R Additional course details: Nexus Humans Beginning Data Analytics With R 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 Beginning Data Analytics With R 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.

The Project Support Officer Mini Bundle is your direct route into high-functioning support roles across industries. With project management, team leader, communication skills, MS Word, and the art of writing bundled together, this package does more than add skills—it adds professional confidence and hireability. It’s not just a course bundle—it’s a career accelerator. Description Project-based roles are booming. From construction to IT, from public sector to private enterprise—organisations need team players who can manage tasks, communicate effectively, and document progress clearly. That’s where this bundle shines. Designed to make you immediately useful in support roles, this bundle highlights your ability to manage documentation in MS Word, assist with communication skills, contribute as a project management support, step in as a team leader when needed, and master the art of writing professionally. You become more than just a support act—you become the keystone that holds a project together. With demand rising for adaptable professionals, being equipped in project management, communication skills, MS Word, team leader duties, and the art of writing gives you a rare edge. Don’t miss your chance to become the backbone of tomorrow’s project teams. FAQ What jobs will this help me apply for? Project support officer, admin coordinator, executive assistant, project assistant, and similar project-aligned roles. How does it increase hireability? By demonstrating functional knowledge in project management, MS Word, communication skills, and leadership—employers know you can contribute immediately. Is this useful for new professionals? Yes—it’s ideal for anyone looking to break into project support or business admin roles. What industries does it benefit? Construction, tech, education, government, finance—any sector using team structures and projects. Why are these skills in demand? Projects are everywhere, and organisations value those who bring structure, clear communication, and leadership initiative. Why should I act now? Hiring managers are prioritising project support skills. Secure your place in the shortlists with project management, team leader, communication skills, MS Word, and writing proficiency.

Delve into the world of data analysis with 'R Programming for Data Science,' a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations. A highlight of this course is its in-depth exploration of R's versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts. Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language's capabilities. Learners will also gain expertise in the 'apply' family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R. Learning Outcomes Develop a foundational understanding of R's role in data science and proficiency in RStudio. Gain fluency in R programming basics, enabling the handling of complex data tasks. Acquire skills in managing various R data structures for efficient data analysis. Master relational and logical operations for advanced data manipulation in R. Learn to create functions and utilize R packages for expanded analytical capabilities. Why choose this R Programming for Data Science course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this R Programming for Data Science course for? Beginners in data science eager to learn R programming. Data analysts and scientists looking to enhance their skills in R. Researchers in various fields requiring advanced data analysis tools. Statisticians seeking to adopt R for more sophisticated data manipulations. Professionals in finance, healthcare, and other sectors needing data-driven insights. Career path Data Scientist (R Expertise): £30,000 - £70,000 Data Analyst (R Programming Skills): £27,000 - £55,000 Bioinformatics Scientist (R Proficiency): £35,000 - £60,000 Quantitative Analyst (R Knowledge): £40,000 - £80,000 Research Analyst (R Usage): £25,000 - £50,000 Business Intelligence Developer (R Familiarity): £32,000 - £65,000 Prerequisites This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's next? 00:02:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00 Assignment Assignment - R Programming for Data Science 00:00:00

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I’ll share a case of visual hallucinations, showing how an existential-phenomenological approach helps understand their meaning and purpose. 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. Hallucination- between Prof. Ernesto Spinelli and Prof. Simon du Ploc “The phenomenon of hallucination has been a subject of debate for centuries. It has been suggested that its function was one of revelation or prophesy, and those who hallucinated were often considered to have a ‘sacred’ affliction. In recent times, their function, at least in the West since the Age of Reason, has been often been reduced to primary indicators of schizophrenia and other forms of psychosis. Lumped into the ‘core phenomena’ of schizophrenia, the concern is not so much what they are, or what they mean to the client, or even their content, but their treatment and control. I will present an excerpt from my own clinical practice with a client who presented with distressing visual hallucinations. This piece of work illustrates how approaching such irregular perceptions of reality from an existential-phenomenological perspective can provide a way of understanding their meaning and purpose within a client’s lived experience. I will suggest that such an approach also enables us to take a creative position regarding wider notions of sanity and madness, a position which enables us to navigate a path between, on the one hand, the medical model which typically focusses on reduction and management of hallucinations, and on the other hand, a Laingian view of hallucination as a route to ‘hyper-sanity’. Adopting such a path may enable us to work more confidently with clients when they present with unusual or disturbing perceptions.” Prof. Simon du Ploc. Prof. Simon du Plock is Senior Research Fellow at the Metanoia Institute, London. He was Head of the Faculty of Post-Qualification and Professional Doctorates at the Institute from 2007 to 2020, in which role he directed counselling psychology and psychotherapy research doctorates jointly with Middlesex University. He is a Fellow of the Royal Society for Medicine, a Foundation Member with Senior Practitioner Status of the BPS Register of Psychologists Specialising in Psychotherapy, and a Member of the BPS Register of Applied Psychology Practice Supervisors. He has been a BPS Chartered Counselling Psychologist and UKCP Registered Psychotherapist since 1994. He has authored nearly one hundred journal papers and book chapters on existential therapy, and he has co-edited Existential Analysis, the Journal of the British Society for Existential Analysis, since 1993. He was an editor of the 2019 Wiley World Handbook of Existential Therapy. He has lectured and trained internationally, and in 2006 he was made an Honorary Member of the East European Association for Existential Therapy in recognition of his contribution to cooperation between West and East Europe in the development of existential psychotherapy. His clinical and research interests include phenomenological research methodology, clinical and research supervision, existential pedagogy, and working with issues of addiction and dependency. 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 15 November 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:

This course is focused on concepts of Python Boto3 Module and Lambda using Python. It covers how to use Boto3 module, concepts of Boto3 (session, resource, client, meta, collections, waiters, and paginators), and AWS Lambda to build real-time tasks with lots of step-by-step examples.

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