43663 Courses in Cardiff delivered Online

Duration 1 Days 6 CPD hours This course is intended for This course is intended for individuals who desire to become more skilled at handling difficult customers. Overview Upon successful completion of this course, students will be able to deal with difficult customers in a way that increases productivity and customer service, and decreases unhappy customers. In this course, students will gain a valuable skill set to deal with difficult customers in various situations. 1 - GETTING STARTED Housekeeping Items Pre-Assignment Review Workshop Objectives The Parking Lot Action Plan 2 - THE RIGHT ATTITUDE STARTS WITH YOU Be Grateful Keep Your Body Healthy Focus on Positive Thoughts Invoke Inner Peace Case Study 3 - INTERNAL STRESS MANAGEMENT Irritability Unhappiness with Your Job Feeling Underappreciated Not Well-Rested Case Study 4 - EXTERNAL STRESS MANAGEMENT Office Furniture Not Ergonomically Sound High Noise Volume in the Office Rift with Co-Workers Demanding Supervisor Case Study 5 - TRANSACTIONAL ANALYSIS What is Transactional Analysis? Parent Adult Child Case Study 6 - WHY ARE SOME CUSTOMERS DIFFICULT? They Have Truly Had a Bad Experience and Want to Vent They Have Truly Had a Bad Experience and Want Someone to be Held Accountable They Have Truly Had a Bad Experience and Want Resolution They Are Generally Unhappy Case Study 7 - DEALING WITH THE CUSTOMER OVER THE PHONE Listen to the Customer?s Complaint Build Rapport Do Not Respond with Negative Words or Emotion Offer a Verbal Solution to Customer Case Study 8 - DEALING WITH THE CUSTOMER IN PERSON Listen to the Customer?s Complaint Build Rapport Responding with Positive Words and Body Language Besides Words, What to Look For? Case Study 9 - SENSITIVITY IN DEALING WITH CUSTOMERS Who are Angry Who Are Rude With Different Cultural Values Who Cannot Be Satisfied Case Study 10 - SCENARIOS OF DEALING WITH A DIFFICULT CUSTOMER Angry Customer Rude Customer Culturally Diverse Customer Impossible to Please Customer Case Study 11 - CUSTOMER ONCE YOU HAVE ADDRESSED THEIR COMPLAINT Call the Customer Send the Customer an Email Mail the Customer a Small Token Handwritten or Typed Letter Case Study 12 - WRAPPING UP Words From The Wise Review Of The Parking Lot Lessons Learned Recommended Reading Completion Of Action Plans And Evaluations

Course Overview Naresh IT's DevOps Online Training is a comprehensive program that explores the multifaceted realm of DevOps. Covering essential components, from foundational concepts to advanced tools and methodologies, this course delves into industry-best practices. DevOps is an innovative approach that combines software development (Dev) and IT operations (Ops) to promote collaboration, enhance efficiency, and boost productivity throughout the software development lifecycle. Participants can learn through live classes, either with or without videos, tailored to their preferences. Description This course provides in-depth training on DevOps principles, practices, and tools used in modern software environments. Topics include version control, continuous integration, continuous delivery, automation, infrastructure as code, and monitoring. Hands-on experience with tools like Git, Jenkins, Docker, Kubernetes, Ansible, and Terraform ensures a practical understanding of DevOps concepts. Course Objectives Understand the fundamental concepts and principles of DevOps. Learn about various DevOps tools and their usage in development and deployment. Gain proficiency in implementing continuous integration and continuous delivery pipelines. Master automation techniques for infrastructure provisioning, configuration management, and deployment. Acquire skills in containerization and orchestration using Docker and Kubernetes. Develop the ability to monitor, measure, and improve DevOps processes and systems. Prepare for industry-recognized DevOps certifications to enhance career prospects. Prerequisites Basic understanding of the software development lifecycle (SDLC). Familiarity with version control systems (e.g., Git). Knowledge of CI/CD concepts. Understanding of containerization technologies (e.g., Docker). Awareness of cloud computing platforms (e.g., AWS, Azure). Experience with the command line interface (CLI). Who can learn this course This course is suitable for: Software developers System administrators Operations engineers Quality assurance professionals IT managers Anyone interested in adopting DevOps practices for improved software delivery and IT operations efficiency. No prior experience with DevOps is required, although a basic understanding of software development and IT concepts is beneficial.

Duration 1 Days 6 CPD hours This course is intended for Leaders, Managers, Individuals who lead meetings This course is designed to help leaders run effective virtual meetings as well as managing their team virtually. We will explore communication styles and understanding their team as well as productivity. This course involves a lot of open discussion as well as teaching leaders how to manage the virtual workplace and run productive meetings. Defining the Virtual Workplace What does it look like? Tools available Communication strategies Understanding communication styles Leading different communication styles Building a Virtual Workplace Strategy Goals & agenda Check-ins Communication strategies Virtual Leadership Strategies Making connections & check ins Managing virtual meetings with team members Defining availability & creating schedules Open Discussion & Action Plan

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Database architects Database administrators Database developers Data analysts and scientists Overview This course is designed to teach you how to: Discuss the core concepts of data warehousing, and the intersection between data warehousing and big data solutions Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3, to contribute to the data warehousing solution Architect the data warehouse Identify performance issues, optimize queries, and tune the database for better performance Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3. Additionally, this course demonstrates how to use Amazon QuickSight to perform analysis on your data Module 1: Introduction to Data Warehousing Relational databases Data warehousing concepts The intersection of data warehousing and big data Overview of data management in AWS Hands-on lab 1: Introduction to Amazon Redshift Module 2: Introduction to Amazon Redshift Conceptual overview Real-world use cases Hands-on lab 2: Launching an Amazon Redshift cluster Module 3: Launching clusters Building the cluster Connecting to the cluster Controlling access Database security Load data Hands-on lab 3: Optimizing database schemas Module 4: Designing the database schema Schemas and data types Columnar compression Data distribution styles Data sorting methods Module 5: Identifying data sources Data sources overview Amazon S3 Amazon DynamoDB Amazon EMR Amazon Kinesis Data Firehose AWS Lambda Database Loader for Amazon Redshift Hands-on lab 4: Loading real-time data into an Amazon Redshift database Module 6: Loading data Preparing Data Loading data using COPY Data Warehousing on AWS AWS Classroom Training Concurrent write operations Troubleshooting load issues Hands-on lab 5: Loading data with the COPY command Module 7: Writing queries and tuning for performance Amazon Redshift SQL User-Defined Functions (UDFs) Factors that affect query performance The EXPLAIN command and query plans Workload Management (WLM) Hands-on lab 6: Configuring workload management Module 8: Amazon Redshift Spectrum Amazon Redshift Spectrum Configuring data for Amazon Redshift Spectrum Amazon Redshift Spectrum Queries Hands-on lab 7: Using Amazon Redshift Spectrum Module 9: Maintaining clusters Audit logging Performance monitoring Events and notifications Lab 8: Auditing and monitoring clusters Resizing clusters Backing up and restoring clusters Resource tagging and limits and constraints Hands-on lab 9: Backing up, restoring and resizing clusters Module 10: Analyzing and visualizing data Power of visualizations Building dashboards Amazon QuickSight editions and feature

Duration 1 Days 6 CPD hours This course is intended for This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines. Completed either AWS Technical Essentials or Architecting on AWS Completed Building Data Lakes on AWS Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a data warehouse analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Using Amazon Redshift in the Data Analytics Pipeline Why Amazon Redshift for data warehousing? Overview of Amazon Redshift Module 2: Introduction to Amazon Redshift Amazon Redshift architecture Interactive Demo 1: Touring the Amazon Redshift console Amazon Redshift features Practice Lab 1: Load and query data in an Amazon Redshift cluster Module 3: Ingestion and Storage Ingestion Interactive Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API Data distribution and storage Interactive Demo 3: Analyzing semi-structured data using the SUPER data type Querying data in Amazon Redshift Practice Lab 2: Data analytics using Amazon Redshift Spectrum Module 4: Processing and Optimizing Data Data transformation Advanced querying Practice Lab 3: Data transformation and querying in Amazon Redshift Resource management Interactive Demo 4: Applying mixed workload management on Amazon Redshift Automation and optimization Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster Module 5: Security and Monitoring of Amazon Redshift Clusters Securing the Amazon Redshift cluster Monitoring and troubleshooting Amazon Redshift clusters Module 6: Designing Data Warehouse Analytics Solutions Data warehouse use case review Activity: Designing a data warehouse analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

Duration 1.75 Days 10.5 CPD hours This course is intended for The course is aimed at experienced project managers, business management and specialists in both private and public companies. A good understanding of the basic mechanisms in organisations and markets is required. Overview Knowledge of the 4 dimensions needed for efficient business transformation and digital transformation: Platform, Planning, People and Processes Be able to look at your own organisation in an outside-in perspective Insight into the journey from a precise project scope to the project's components of work packages and to the following organisational implementation Ability to define precise digital service processes Understanding of business and organisational dynamics Tools to break down a defined business algorithm to specific specifications for an IT project Transformation Framework integrates well known management theory with common project management methods. Provides access to a unique and coherent toolbox and IT workbench, which includes the ability to transform digital strategies. The Structure Of 4Dimensions Framework The Digital Ecosystem Organisational setup Structure of the Business Platform Understanding of the course goal The 4D Framework Platform Dimension Plan Dimension People Dimension Working with the framework Views Approaches Wrap up of the day How To Work With 4Dimensions Framework Wrap up of day 1 Toolbox Change sheets Agile Transformation Plan Case work How to use the transformation tool 4dimensions.info How to succeed with the transformation Transformation roles How to get started

Complete Massage Therapy Online Course This Investment Banking Training: LBO, IPO and M&A course gives you a clear and practical introduction to the world of investment banking. You will learn how investment banks operate, how they value companies, and how major financial deals like leveraged buyouts, initial public offerings and mergers and acquisitions work. The course explains these processes in a simple, step-by-step way, helping you build the skills to succeed in corporate finance and deal-making. Course Curriculum Module 1: Introduction to Investment Banking Module 2: Structure and Side of Investment Banking Module 3: Valuation Methods in Investment Banking Module 4: Leveraged Buyout (LBO) Module 5: Initial Public Offering (IPO) Module 6: Merger and Acquisition Module 7: Ethics in Investment Banking (Learn more about this online course)

Investment Banking: LBO, IPO and M&A Online Course This Investment Banking Training: LBO, IPO and M&A course gives you a clear and practical introduction to the world of investment banking. You will learn how investment banks operate, how they value companies, and how major financial deals like leveraged buyouts, initial public offerings and mergers and acquisitions work. The course explains these processes in a simple, step-by-step way, helping you build the skills to succeed in corporate finance and deal-making. Course Curriculum Module 01: COSHH Explained Module 02: COSHH Regulations Module 03: Health Problems Related to Hazardous Substances Module 04: Identifying Hazardous Substances Module 05: COSHH Risk Assessments Module 06: Control Measures and Monitoring Module 07: Implementing Control Measures (Learn more about this online course)

Online Video Marketing Online Course This Investment Banking Training: LBO, IPO and M&A course gives you a clear and practical introduction to the world of investment banking. You will learn how investment banks operate, how they value companies, and how major financial deals like leveraged buyouts, initial public offerings and mergers and acquisitions work. The course explains these processes in a simple, step-by-step way, helping you build the skills to succeed in corporate finance and deal-making. Course Curriculum Module 1: Introduction to Investment Banking Module 2: Structure and Side of Investment Banking Module 3: Valuation Methods in Investment Banking Module 4: Leveraged Buyout (LBO) Module 5: Initial Public Offering (IPO) Module 6: Merger and Acquisition Module 7: Ethics in Investment Banking (Learn more about this online course)

Medical Administration, Clinical Coding and Billing This course teaches you the core skills needed for medical administration, clinical coding, and billing. You will learn how to manage schedules, organise patient records, handle medical files, maintain confidentiality, and use proper codes for billing. The course also explains medical terms, ethics, safety rules, and how technology supports healthcare systems. It is ideal for anyone who wants to work in a medical office or support clinical operations. Course Curriculum Module 01: Introduction To Medical And Clinical Administration Module 02: Organise Schedules Module 03: Maintaining Medical Records Module 04: Effective Filing Systems In Medical Offices Module 05: Confidentiality In A Medical Environment Module 06: Controlling Stocks And Supplies Module 07: Medical Jargon And Terminology Module 08: Maintaining Workplace Safety Module 09: Information Technology In Health Care Module 10: Medical (Clinical) Coding And Billing Module 11: Legal Aspects And Ethics (Learn more about this online course)