1225 Communication courses in Viewpark delivered Live Online

Corporate Process & Maintenance Course Overview: The "Corporate Process & Maintenance" course provides a comprehensive understanding of core administrative and operational processes within a corporate environment. It covers essential tasks such as managing priorities, maintaining office resources, and effectively communicating expectations. Learners will develop the skills necessary to initiate and complete tasks efficiently while managing administrative responsibilities. The course is designed to enhance organisational abilities and foster professional growth, making it valuable for anyone aiming to streamline corporate operations and improve workplace productivity. By the end of the course, learners will be equipped with the skills to manage office processes with confidence and precision. Course Description: This course delves into key aspects of corporate maintenance and process management, focusing on improving office operations. Key topics include prioritising and completing tasks, mastering communication and expectation management, and leveraging email software for strategic purposes. Learners will explore how to maintain office resources, provide administrative services like document production, and handle meeting necessities. Throughout the course, learners will gain valuable insights into effective office management, improving both individual and organisational performance. The course is structured to facilitate a deep understanding of corporate processes and ensure learners are prepared to handle various office-related responsibilities with efficiency and clarity. Corporate Process & Maintenance Curriculum: Module 01: Responsibility For Initiating And Completing Tasks Module 02: Managing Priorities And Time Module 03: Communicating And Managing The Expectations Module 04: Strategic Approach & Use Of Email Software Module 05: Maintenance Of Office Resources Module 06: Providing Administrative Services: Document Production Module 07: Meeting Necessaries & Documents (See full curriculum) Who is this course for? Individuals seeking to develop their office management skills Professionals aiming to enhance their organisational efficiency Beginners with an interest in corporate operations Those looking to improve administrative capabilities in the workplace Career Path Office Administrator Executive Assistant Administrative Coordinator Operations Manager Office Manager

Course Overview This comprehensive course in Digital Marketing offers an in-depth exploration of the strategies that define modern online success. From brand positioning and content creation to platform-specific approaches across Facebook, Instagram, and YouTube, this guide covers every key area to help learners thrive in a fast-evolving marketing landscape. You will examine essential digital concepts such as SEO, mobile outreach, and email campaign structuring, all while gaining the strategic mindset needed to implement effective marketing solutions. By the end of this course, learners will have a strong understanding of how to structure marketing plans, reach targeted audiences through various channels, and evaluate digital performance metrics. This course is ideal for those looking to enhance their marketing knowledge, keep up with digital trends, and align themselves with career opportunities in a digitally driven economy. Course Description The course delves into the strategic core of digital marketing, equipping learners with the knowledge to understand consumer behaviour, design impactful campaigns, and master various online platforms. You will begin with the fundamentals before advancing through growth hacking techniques, customer journey mapping, and platform-specific strategies across Facebook, Instagram, Twitter, and more. Topics such as SEO, email communication, content strategy, and mobile marketing are presented with clarity, ensuring learners develop a thorough grasp of marketing logic and campaign planning. This course also explores how to build audience engagement and interpret campaign performance using reliable frameworks. Whether you're aiming to support a brand, manage digital channels, or enhance visibility through marketing strategies, this course offers a structured foundation that meets the demands of today’s digital environment. Course Modules Module 01: Fundamentals of Digital Marketing Module 02: Growth Hacking Module 03: Customer Journey Module 04: Content Marketing Module 05: SEO Module 06: E-Mail Marketing Module 07: Facebook Marketing Module 08: Instagram Marketing Module 09: Twitter Marketing Module 10: YouTube Marketing Module 11: Mobile Marketing (See full curriculum) Who is this course for? Individuals seeking to understand digital marketing strategy from the ground up. Professionals aiming to expand their expertise in multi-channel marketing. Beginners with an interest in online promotion, brand development, or digital outreach. Entrepreneurs, freelancers, and content creators wanting to enhance their marketing knowledge. Career Path Digital Marketing Executive Social Media Manager SEO Specialist Content Marketing Strategist Email Marketing Coordinator Digital Campaign Analyst Brand Engagement Consultant Online Marketing Assistant

A professional for direct customer support within all sectors and organisation types.

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.

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 1 Days 6 CPD hours This course is intended for This course is intended for individuals who want to improve their phone skills. Overview Upon successful completion of this course, students will be more confident in handling the phone, resulting in new customers while retaining current clientele. In this course, students will learn about different types of calls and the etiquette associated with them. Getting Started Housekeeping Items Pre-Assignment Review Workshop Objectives The Parking Lot Action Plan Aspects of Phone Etiquette Phrasing Tone of Voice Speaking Clearly Listen to the Caller Case Study Using Proper Phone Language Please and Thank You Do Not Use Slang Avoid Using the Term ?You? Emphasize What You Can Do, Not What You Can?t Case Study Eliminate Phone Distractions Avoid Eating or Drinking Minimize Multi-Tasking Remove Office Distractions Do Not Let Others Interrupt Case Study Inbound Calls Avoid Long Greeting Messages Introduce Yourself Focus on Their Needs Be Patient Case Study Outbound Calls Be Prepared Identify Yourself and Your Company Give Them the Reason for the Call Keep Caller Information Private Case Study Handling Rude or Angry Callers Stay Calm Listen to the Needs Never Interrupt Identify What You Can Do For Them Handling Interoffice Calls Transferring Calls Placing Callers on Hold Taking Messages End the Conversation Case Study Handling Voicemail Messages Ensure the Voice Mail Has a Proper Greeting Answer Important Messages Right Away Ensure Messages are Delivered to the Right Person When Leaving A Message for Others... Case Study Methods of Training Employees Group Training One-on-One Training Peer Training Job Shadowing Case Study Correcting Poor Telephone Etiquette Screening Calls Employee Evaluations Peer Monitoring Customer Surveys Case Study Wrapping Up Words From The Wise Review Of The Parking Lot Lessons Learned Recommended Reading Completion Of Action Plans And Evaluations

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.

This dynamic programme empowers attendees to enhance their emotional intelligence, forge meaningful connections in every interaction, engage in impactful coaching conversations, and cultivate resilience and psychological safety. Through interactive workshops, compelling discussions, and practical exercises, participants will acquire skills and insights necessary to foster a space for collaboration helping shape an environment of trust and openness in their professional and personal spaces

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

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