679 Health & Wellbeing courses in Cardiff delivered Live Online

Are you ready to start gentle slow Yoga online? ​Beginners and Seniors welcome Best Yoga classes if you feel nervous about Yoga, especially Online Yoga​ Best Yoga classes if you feel stiff and have sore aching stiff joints This Yoga is not gymnastics. You dont have to be flexible or touch your toes

Wouldn't sales be a 'walk in the park' without challenging customers? Why is it that some customers are so difficult to please, so quick to call 'foul' at the slightest blip and so mean with their gratitude after we've bent over backwards to accommodate them? Whether we are looking at prospective or existing customers, there is a toolkit for dealing with the most challenging of them. This course will help participants: Use broad open questions to give the customer a platform for their opinions or issues Improve listening skills to really understand what's behind the customer's challenging style Probe specific phrases to show listening and earn deeper disclosure Use silence to let challenging customers 'blow off steam' Understand the negative impact of certain phrases on a challenging customer Summarise effectively and reassure the customer of our understanding of their needs Recognise the 'behaviour cycle' and avoid emotional escalation Understand 'transactional analysis' and how to bring people from 'child' to 'adult' state Create loyalty in customers who are slow to give trust 1 What makes a customer 'challenging'? Why customers challenge us - understanding their drivers 'Wearing their shoes' - seeing things from their perspective Understanding our own personality style How to flex with a style that is different from our own Ways to quickly recognise a customer's style The benefits of flexing with a challenging customer's style 2 Practical exercise - forum theatre Participants take it in turns to deal with the trainer (who plays the role of the challenging customer) Observers stop the action when they hear or see something they deem wrong The participant in the seat gets a chance to use a suggested alternative line The participant who makes the suggestion has the chance to occupy the seat and deliver it themselves Frequent feedback from the trainer as to how the participant's words are making him feel Opportunities to rewind the action if an ill-advised line is suggested and delivered Flipchart for capturing what worked, what didn't work and why Mehrabian principle - the importance of body language and tone over words used 3 Questioning and listening skills How to use open questions to get the customer talking What questions to avoid and why The use of pauses and silence to reduce tension and build trust What listening is and what it isn't Question funnelling - how to earn deeper disclosure through probing The power of summary 4 Transactional analysis explained What is transactional analysis (TA)? Exploring the TA states and why people behave in that way under pressure How to bring challenging customers to 'adult' state to reduce tension How 'parent' or 'child' behaviours can be inadvertently triggered Understanding the 'behavioural cycle' and how to break it Mini-role play 'vignettes' to demonstrate real time impact of ill-chosen words 5 How to build trust with challenging customers Techniques for placating current challenging customers Methods that the participants have already used effectively - understanding why those methods worked and how other participants can model them Participants' experiences of trust having been lost - understanding why those experiences had that negative outcome How to 'go the extra mile' with challenging customers 6 Bringing a 'real' challenging customer to life Participants give the trainer a brief profile of a specific challenging customer of theirs 5-10 minute roleplay in which the trainer brings that individual to life Observing participants - without interrupting - make notes on what is and isn't working Trainer stops the action half-way through to give feedback on how he is feeling Participant goes back into the roleplay having recalibrated their approach based on feedback Observers give feedback on what did and didn't work Trainer comes out of character to explain the impact of the participant's words and behaviours 7 Wrap-up Key learnings from each participant Individual action planning - steps that can and will be implemented in the workplace

Part 1: ‘Lunch and Learn’ with Max & Fi ✨ ( About 15-20 min) Max and Fi will share various psychological models, resources and ideas to help you feel positive, purposeful and inspired in your EP career. We draw upon positive psychology, with the aim of helping you feel motivated, engaged and purposeful in your EP Career. Part 2: Time to connect 🧠🧠 ( About 40-45 min) Come and find your 'tribe' and connect with like-minded EPs. W e will organise breakout rooms for small group chats, reflections and connection-building within the EP community. You might want to share some ideas with others, find out what others are up to, make connections and explore possible collaborations. Maybe you're feeling isolated (easy in this role!) and just fancy some EP company and connection. We will offer some prompts for your chats and do our best to reduce any awkwardness and make it fun and friendly! Come with an open mind. Be brave. Be curious. See where the session takes you... Bring your own lunch and a cup of PositiviTEA. If your cup is feeling a bit empty, we hope we can fill it during the session* * This is a metaphor. No actual tea is included ;) P.s. Sorry this session is not suitable for aspiring EPs . Please do look out for more appropriate events via Twitter.

Understanding Trauma-Informed practices and becoming a more empathetic leader, coach, teacher and or self-employed individual.

Come and learn the basics of Kinesiology in this fun, interactive online course. The modules covered include History of Kinesiology The 7 Factors of the Intervertebral Foramina How to Muscle Test A Kinesiologist Toolkit Testing for Hydration Testing for Protein Deficiency Kinesiology Food Sensitivity Testing Emotional Stress Release How to become a Kinesiology Professional Learning Objectives Your takeaways from the Introduction to Kinesiology course will include the ability to: Understand the origins of Kinesiology Explain the toolkit of a Kinesiologist Perform a basic muscle test Describe the different muscle tests for protein deficiency and hydration Understand how food sensitivity muscle testing works Implement basic Kinesiology tools such as Emotional Stress Release

Learn how to support employees living with chronic health conditions and get answers to your workplace wellbeing questions from recognised experts in the field.

Duration 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.

Compassion-focussed leadership is a transformative move for driving both individual and organisational performance. Long-term success comes from creating a workplace where people actually want to stay and thrive. For all leaders and managers of all levels to attend — Learn an actionable workplace wellbeing action plan that generates a real culture change to workplace wellbeing

A webinar about the simple stuff and how it can help get you through when everything else feels too tough.

Duration 2 Days 12 CPD hours This course is intended for This is an advanced course for DBAs and technical individuals who plan, implement, and maintain Db2 11.1 databases Overview Please refer to course overview This course is designed to teach you how to:Perform advanced monitoring using the Db2 administrative views and routines in SQL queries.Manage the disk space assigned in Database Managed Storage (DMS) and Automatic Storage table spaces, including the activities of the rebalancer.Use SQL queries and Db2 commands to check the high water mark on table spaces and to monitor the rebalance operation.Utilize the REBUILD option of RESTORE, which can build a database copy with a subset of the tablespaces using database or tablespace backup images.Plan and execute the TRANSPORT option of RESTORE to copy schemas of objects between two Db2 databases.Create incremental database or tablespace level backups to reduce backup processing and backup image storage requirements.Implement automatic storage management for table spaces and storage groups or enable automatic resize options for DMS managed table spaces to reduce administration requirements and complexity.Describe the various types of database memory including buffer pools, sort memory, lock memory and utility processing memory.Adjust database or Db2 instance configuration options to improve application performance or processing efficiency.Implement Db2 Self Tuning Memory management for specific database memory areas. Advanced MonitoringDb2 Table Space ManagementDb2 Database Memory ManagementDatabase rebuild supportDb2 database and tablespace relocationDb2 Incremental Backup