1194 Communication courses in Cardiff delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) 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 Hands-on Predicitive Analytics with Python (TTPS4879) 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 4 Days 24 CPD hours This course is intended for This is an intermediate course for individuals responsible for developing and implementing effective storage management techniques. Overview Establish a DFSMS configuration to automatically enforce your installation's storage management policies Convert service level requirements into appropriate parameters for data class, storage class, management class, and storage groups Create and test Automatic Class Selection (ACS) routines Convert volumes and move data to system-managed volumes with DFSMS Data Set Services (DFSMSdss) Specify appropriate management class and storage group parameters for DFSMS Hierarchical Storage Management (DFSMShsm) processing of system-managed data sets Plan to maintain your DFSMS environment using Naviquest Establish procedures to control, manage, and recover the storage management subsystem with ISMF and operator commands Develop a DFSMS implementation plan In this course you will learn how to plan and implement DFSMS and learn how to manage temporary and permanent data sets with an emphasis on disk storage. Course introduction and DFSMS overview Specify the storage administration functions that can be automatically performed by the system Identify the types of data set services that need to be established by negotiating service level agreements Correlate data set service requirements to the SMS configuration components: data class, storage class, management class, storage group, and automatic class selection routines Activating SMS Identify the functions eligible for exploitation with the installation of DFSMS Data Facility Product (DFSMSdfp) and the activation of SMS Create SMS control data sets Code SYS1.PARMLIB operands necessary to bring up SMS Create a minimal configuration Activate a configuration Writing ACS routines Identify the purpose of the ACS routines Develop an understanding of the statements Differentiate between literals and masks Describe the read variables available in the ACS routines Managing temporary data sets Create/alter storage classes and storage groups Identify steps to install and use the starter set Write ACS routines to handle temporary data sets Activate a system to manage temporary data sets Code commands to change volume/group SMS status Issue operator commands to display current status Exploiting DFSMS Describe the purpose of the data class Identify the features that the data class can exploit Create data sets using the space parameter Define Virtual Storage Access Method (VSAM) and volume attributes for data class Identify special data sets and their exploitation through the data class Managing permanent data sets Create/alter data classes, storage classes, management classes, and storage groups Translate current (DFSMShsm) service level agreements to management class parameters Identify alternatives and concerns for standard naming conventions Establish the controls for automatic backup of data sets Establish the controls for automatic volume dump Write ACS routines to manage permanent data Create a configuration that manages permanent data sets Create a new managed data set Identify function of storage class exit provided by Custom-Built Installation Process Offering (CBIPO) and resulting System Management Facility (SMF) records Using Naviquest Create test cases using Naviquest Perform storage administration tasks in batch Create online DFSMS reports Create model commands using Naviquest Use the COPYFILT macro Device preparation and data movement Initialize volumes as system-managed Move data into/out from system-managed control Convert volumes to/from system-managed Move data to utilize new hardware capabilities Controlling DFSMS Code commands to change SMS volume/group status Issue commands to save configurations and use alternate Active Control Data Set (ACDS) Issue command to use alternate Communication Data Set (COMMDS) Issue VARY SMS commands Communicate with the security administrator about storage management requirements Additional considerations Establish a plan for implementing SMS Locate sources of implementation planning checklists Identify the tools available to document the current system Identify multiple site considerations for recovery and exploitation Additional course details: Nexus Humans SS84 IBM DFSMS Implementation 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 SS84 IBM DFSMS Implementation 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.

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Course Overview Autism Training is designed to provide a comprehensive understanding of Autism Spectrum Disorder (ASD), equipping learners with the knowledge to support individuals across various settings. This course explores the complexities of autism, including learning difficulties, diagnosis procedures, and cognitive approaches. It highlights best practices for engaging and communicating with autistic individuals, promoting inclusivity and empathy. By completing this course, learners will develop a deeper appreciation of the challenges faced by those on the spectrum and gain strategies to foster supportive environments. Whether you work in education, healthcare, social care, or are simply passionate about autism awareness, this training will enhance your professional competence and personal insight. Learners will emerge with a strong foundation in autism awareness, improved communication skills, and the ability to contribute meaningfully to autism-friendly practices. The course ultimately supports both career advancement and personal growth in areas where understanding autism is essential. Course Description This Autism Training course delves into key aspects of Autism Spectrum Disorder, beginning with an overview of its characteristics and associated learning difficulties. Learners will examine the diagnostic process and explore various cognitive approaches that can enhance interaction with autistic individuals. The course also addresses effective strategies for supporting those on the spectrum, alongside important considerations such as sensory needs and behavioural patterns. Engagement in autism awareness initiatives is also encouraged, fostering a broader societal understanding. Throughout the course, learners will engage with informative content designed to build theoretical knowledge and develop essential support skills. The structured modules are crafted to ensure a well-rounded learning experience, catering to different professional and personal objectives. Upon completion, learners will be equipped to apply their understanding across educational, healthcare, and community contexts, making valuable contributions to environments that prioritise inclusion, accessibility, and respect for neurodiversity. Course Modules Module 01: Autism Spectrum Disorder (ASD) Module 02: Learning Difficulties Related to Autism Module 03: Autism Diagnosis Module 04: Cognitive Approaches in Autism Module 05: Dealing with Autistic Individuals Module 06: Other Considerations for Dealing with Autistic Individuals Module 07: Engagement in Autism Awareness (See full curriculum) Who is this course for? Individuals seeking to improve their understanding of autism and support strategies. Professionals aiming to enhance their skills in education, healthcare, or social care. Beginners with an interest in autism awareness and neurodiversity. Volunteers and community workers looking to foster inclusive practices. Family members and caregivers wishing to better support autistic individuals. Career Path Special Educational Needs (SEN) Support Assistant Autism Support Worker Education and Healthcare Specialist Social Care Assistant Community Outreach Worker Inclusion and Diversity Officer Mental Health and Wellbeing Advisor

Autism in Early Childhood Course Overview: This course offers an in-depth exploration of autism in early childhood, focusing on understanding its characteristics, identifying early signs, and learning effective intervention strategies. It is designed to equip learners with the knowledge needed to support children with autism and improve their developmental outcomes. By the end of the course, learners will gain a comprehensive understanding of autism spectrum disorder (ASD) in young children, the challenges they face, and the best approaches to support their learning and development. This course is valuable for anyone seeking to make a positive impact on children with autism, whether in a professional or personal context. Course Description: This course delves into the key aspects of autism in early childhood, covering the various diagnostic criteria, early signs of ASD, and its impact on development. Learners will explore evidence-based practices for supporting children with autism, focusing on communication, social skills, and behavioural development. The course also highlights the importance of early intervention and strategies to enhance learning and development in young children with ASD. Learners will gain the skills to assess needs, develop support plans, and collaborate with families and professionals. By the end of the course, participants will be equipped to support children with autism effectively and contribute to their successful integration into educational and social environments. (UK English standards are maintained throughout.) Autism in Early Childhood Curriculum: Module 01: Autism in Early Childhood (See full curriculum) Who is this course for? Individuals seeking to deepen their understanding of autism in early childhood. Professionals aiming to enhance their expertise in supporting children with autism. Beginners with an interest in autism spectrum disorder and early childhood development. Parents, caregivers, and educators wishing to provide better support to children with autism. Career Path: Special Educational Needs (SEN) Teacher Autism Specialist Educator Child Development Practitioner Early Childhood Educator Behavioural Therapist Special Needs Support Worker

Working in Confined Spaces Training Course Overview: The "Working in Confined Spaces Training" course is designed to equip learners with the essential knowledge and skills required to safely work in confined spaces. This training focuses on understanding the hazards associated with confined space environments, the importance of health and safety regulations, and the best practices for minimising risks. Learners will gain an in-depth understanding of the risks, the legislative framework, and the specific procedures required for working in such environments. Upon completion, learners will have a solid foundation in identifying potential dangers, implementing safety measures, and responding to emergency situations. This course is essential for anyone working in industries where confined space work is required, helping to ensure a safe and compliant working environment. Course Description: This course covers key aspects of working in confined spaces, focusing on hazard identification, risk assessment, and emergency procedures. Learners will be introduced to the relevant regulations, including the Confined Spaces Regulations 1997, and the importance of personal protective equipment (PPE) and ventilation systems. The course explores different types of confined spaces, typical hazards such as oxygen deficiency, and how to assess and control these risks effectively. Learners will also examine the importance of teamwork, communication, and safe entry/exit procedures. The content is delivered through engaging, structured modules, combining theoretical understanding with practical guidance to ensure learners develop the knowledge needed to work safely in confined spaces. After completing this training, learners will be confident in implementing safety protocols and responding to emergencies within confined space settings. Working in Confined Spaces Training Curriculum: Module 01: Working in Confined Spaces Training (See full curriculum) Who is this course for? Individuals seeking to work safely in confined spaces. Professionals aiming to enhance their knowledge of health and safety regulations. Beginners with an interest in health and safety or industrial work environments. Workers in industries such as construction, utilities, and manufacturing. Career Path: Health and Safety Officer Industrial Safety Manager Confined Space Supervisor Emergency Response Coordinator Environmental Health and Safety Specialist

Spiritual Life Coaching Course Overview This course on Spiritual Life Coaching is designed to equip learners with the essential knowledge and skills required to guide others through transformative life changes. Covering the basics of spiritual coaching, it explores the role of a coach, the key qualities required, and how to develop a successful practice. Learners will also gain an understanding of ethical considerations, advanced coaching techniques, and strategies to market and grow their business. Upon completion, participants will be able to confidently offer coaching services while aligning with ethical standards and effectively promoting their practice. This course provides a well-rounded foundation for those interested in becoming spiritual life coaches or enhancing their existing skills. Course Description In this comprehensive course, learners will explore the core principles and methodologies of spiritual life coaching. Beginning with an introduction to coaching basics, the course progresses to more advanced topics such as effective communication techniques, the significance of empathy, and the ethical responsibilities of a coach. Learners will develop key qualities such as emotional intelligence, active listening, and mindfulness, which are essential to guide clients through their spiritual and personal journeys. The course also covers strategies for marketing a coaching business, helping participants reach a wider audience and successfully build their practice. By the end of the course, learners will be equipped with the expertise to offer impactful, ethical spiritual coaching services and expand their professional opportunities. Spiritual Life Coaching Curriculum Module 01: Basics of Spiritual Life Coaching Module 02: Understanding Spiritual Life Coaching Module 03: Fundamental Qualities of a Coach Module 04: Advanced Coaching Module 05: Ethical Guidelines Module 06: Marketing Your Business Module 07: Growing Your Business (See full curriculum) Who is this course for? Individuals seeking to become certified spiritual life coaches. Professionals aiming to develop their coaching skills for career advancement. Beginners with an interest in personal development and coaching. Those looking to build a new career in spiritual coaching. Career Path Spiritual Life Coach Personal Development Coach Wellness Coach Life Coach Entrepreneur in Coaching Business Business Consultant in Personal Development

Microsoft Office 2016 Complete Course Course Overview: The "Microsoft Office 2016 Complete Course" is designed to provide learners with comprehensive knowledge and essential skills in the core Microsoft Office applications. This course offers in-depth coverage of Microsoft Word, Excel, PowerPoint, Outlook, and Access, enabling participants to confidently use these programs in professional environments. By the end of the course, learners will be equipped to create, manage, and analyse documents, spreadsheets, presentations, emails, and databases with proficiency. This course is an invaluable resource for those looking to enhance their productivity and improve their digital skills, making them more competitive in the job market. Course Description: The "Microsoft Office 2016 Complete Course" delves into the key functionalities of Microsoft Office, with modules dedicated to each major application. Learners will explore the features of Word for document creation and editing, Excel for data analysis and management, PowerPoint for effective presentations, Outlook for email and calendar management, and Access for database handling. Each module is structured to help learners understand the software’s core functions and how to apply them in real-world scenarios. Upon completion, learners will have developed a strong foundation in using Office 2016, boosting their ability to operate efficiently and effectively in modern workplaces. This course is suitable for individuals seeking to increase their office productivity and streamline their daily tasks. Microsoft Office 2016 Complete Course Curriculum: Module 01: Microsoft Word 2016 Module 02: Microsoft Excel 2016 Module 03: Microsoft PowerPoint 2016 Module 04: Microsoft Outlook 2016 Module 05: Microsoft Access 2016 (See full curriculum) Who is this course for? Individuals seeking to improve their office productivity skills. Professionals aiming to advance in roles requiring Microsoft Office proficiency. Beginners with an interest in data management, communication, and office software. Those wishing to enhance their CV and increase career opportunities in administrative and support roles. Career Path: Office Administrator Executive Assistant Data Analyst Personal Assistant Administrative Support Specialist Project Coordinator

Introduction to AI for Business

Our course empowers you to handle workplace issues effectively and fairly. Learn best practices, procedures, and communication skills to maintain a harmonious and compliant workplace. Course overview Duration: 1 day (6.5 hours) This course will enable participants to manage disciplinary and grievance issues effectively. The emphasis is on the use of a structured approach where positive action and problem-solving is highlighted as a priority. The course will build knowledge, skill and confidence in handling these areas objectively, fairly and appropriately in line with policies/procedures, best practice and legal requirements. Objectives  By the end of the course you will be able to: Describe the purpose of disciplinary and grievance procedures and how these relate to relevant laws and other procedures Know your role as managers in fairly and consistently applying the procedures at the informal and formal stages Explain the grounds for disciplinary or grievance action and the need to collect, assess and present evidence Describe the structure and roles of disciplinary meetings Explain of the basis for reaching fair and reasonable decisions and possible remedies and penalties Describe the grounds and procedure for appeals Content Disciplinary Procedures Employment Contract – what an employee and employer expect and how to manage when broken. Natural Justice – ensuring ‘fair play’. Misconduct v Capability - what is the difference and which process should be used to manage both. Informal v Formal Action – understanding the processes for both informal and formal disciplinary actions. Suspensions – when, why and how to suspend an employee. Investigations – how to undertake a robust investigation and what to include in the report. Disciplinary Meeting – how to conduct the meeting, the different roles involved. Appeals – understanding how people can appeal and the process to appeal. Grievance Procedures What the law requires – what are the legal requirements for handling a grievance. Informal v Formal Action – understanding the processes for both informal and formal grievance procedures. Conducting the hearing – how to undertake a robust hearing and who should be involved. Appeals - how can people appeal and what is the process.