2195 Courses in Cardiff delivered Live Online

Duration 2 Days 12 CPD hours Overview What's New in This Guide? Automatic Payment Reminders for open customer invoices Ability to automatically include the PO# (purchase order number) to Invoice Emails Able to combine multiple emails which allows you to attach multiple sales or purchasing documents to a single email Quickly locate a company file using the new company file search feature Smart Help is an improved search experience that includes access to live experts through messaging and call back options This course covers all features that are in QuickBooks Pro and Premier 2020 and prepares you for the QuickBooks Certified User exam. This course combines all topics in the two 1 day courses ?Get Started with QuickBooks 2021 for Windows? and ?Keep Going with QuickBooks 2021 for Windows?. First-time QuickBooks users will learn the basic features of the software. Experienced QuickBooks users will quickly learn the new features and functionality of QuickBooks 2021. Getting Started Starting QuickBooks Setting QuickBooks Preferences Components of the QuickBooks Operating Environment Using QuickBooks Help Identifying Common Business Terms Exiting QuickBooks Setting Up a Company Creating a QuickBooks Company Using the Chart of Accounts Working with Lists Creating Company Lists Working with the Customers & Jobs List Working with the Employees List Working with the Vendors List Working with the Item List Working with Other Lists Managing Lists Setting Up Inventory Entering Inventory Ordering Inventory Receiving Inventory Paying for Inventory Manually Adjusting Inventory Selling Your Product Creating Product Invoices Applying Credit to Invoices Emailing Invoices Setting Price Levels Creating Sales Receipts Invoicing for Services Setting Up a Service Item Changing the Invoice Format Creating a Service Invoice Editing an Invoice Voiding an Invoice Deleting an Invoice Entering Statement Charges Creating Billing Statements Processing Payments Displaying the Open Invoices Report Using the Income Tracker Receiving Payments for Invoices Making Deposits Handling Bounced Checks Working with Bank Accounts Writing a QuickBooks Check Voiding a QuickBooks Check Using Bank Account Registers Entering a Handwritten Check Transferring Funds Between Accounts Reconciling Checking Accounts Entering and Paying Bills Handling Expenses Using QuickBooks for Accounts Payable Using the Bill Tracker Entering Bills Paying Bills Entering Vendor Credit Memorizing Transactions Entering a New Memorized Transaction Editing a Memorized Transaction Deleting a Memorized Transaction Grouping Memorized Transactions Using a Memorized Transaction Printing the Memorized Transaction List Customizing Forms Creating a Custom Template Modifying a Template Printing Forms Using Other QuickBooks Accounts Other QuickBooks Account Types Working with Credit Card Transactions Working with Fixed Assets Working with Long-Term Liability Accounts Using the Loan Manager Creating Reports Working with QuickReports Working with Preset Reports Sharing Reports Exporting Reports to Microsoft Excel Printing Reports Creating Graphs Creating QuickInsight Graphs Using QuickZoom with Graphs Working with the Sales Graph Customizing Graphs Printing Graphs Tracking and Paying Sales Tax Using Sales Tax in QuickBooks Setting Up Tax Rates and Agencies Indicating Who and What Gets Taxed Applying Tax to Each Sale Determining What You Owe Paying Your Tax Agencies Preparing Payroll with QuickBooks Using Payroll Tracking Setting Up for Payroll Setting Up Employee Payroll Information Setting Up a Payroll Schedule Writing a Payroll Check Printing Paycheck Stubs Tracking Your Tax Liabilities Paying Payroll Taxes Preparing Payroll Tax Forms Using the EasyStep Interview Using the EasyStep Interview Using Online Banking Setting Up an Internet Connection Setting Up Bank Feeds for Accounts Viewing, Downloading, and Adding Online Transactions Creating Online Payments Transferring Funds Online Canceling Online Payments Managing Company Files Using QuickBooks in Multi-user Mode Setting Up Users and Passwords Setting a Closing Date Sharing Files with an Accountant Updating QuickBooks Backing Up and Restoring a Company File Condensing a Company File Estimating, Time Tracking, and Job Costing Creating Job Estimates Creating an Invoice from an Estimate Displaying Reports for Estimates Updating the Job Status Tracking Time Displaying Reports for Time Tracking Tracking Vehicle Mileage Displaying Vehicle Mileage Reports Displaying Other Job Reports Writing Letters Using the Letters and Envelopes Wizard Customizing Letter Templates Additional course details: Nexus Humans Get Smart With QuickBooks 2021 for Windows 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 Get Smart With QuickBooks 2021 for Windows 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.

Masterclasses? Refreshers? Introductions? It depends what you're looking for and where you want to pitch them, but here are six tried-and-tested highly focused sessions that organisations can take individually or as a series, to help develop their teams' project management capabilities one topic at a time. Objectives for each individual session are set out below, as part of the session outlines. Taken together, as a series, however, these modules are an ideal opportunity to develop your team's levels of project management capability maturity, whether that's by introducing them to the basic principles, refreshing them on best practice, or giving them the opportunity to really drill down into a specific area of challenge in your particular operating environment. Session outlines 1 Stakeholder management Session objectives This session will help participants: Understand why stakeholders matter to projects Be able to identify and engage stakeholders Be able to categorise stakeholders by their significance 1 Key principles What does 'stakeholder' mean - in theory? What does this mean in practice? Why stakeholders matter Consequences of missing stakeholders The stakeholder management process:IdentifyAssessPlanEngage 2 Identifying stakeholders Rapid listing CPIG analysis PESTLE analysis Drawing on the knowledge and experience of others Other ways to identify stakeholders 3 Assessing stakeholders Which stakeholders are significant? Stakeholder radar Power-interest maps Power-attitude maps 4 Planning The adoption curve Dealing with obstacles Who should engage which stakeholder? How should the project's organisation be structured? How will communication happen? 5 Engaging Seven principles of stakeholder engagement 2 Requirements and prioritisation Session objectives This session will help participants: Understand how clarity of requirements contributes to project success Use different techniques for prioritising requirements Agree requirements with stakeholders Manage changes to requirements 1 Understanding and managing stakeholder needs and expectations What are 'requirements'? What is 'requirements management'? Sources of requirements - and the role of stakeholders Are stakeholders sufficiently expert to specify their needs? Do they understand the detail of what they want, or do they need help to tease that out? What do stakeholders want to achieve? Working within constraints Prioritising requirements - three techniques 2 MoSCoW prioritisation 'Must have', should have', 'could have, 'won't have this time' When to use MoSCoW 3 The Kano Model Customer satisfaction - 'attractive' and 'must-be' qualities When to use Kano 4 Value-based prioritisation Understanding risk v value Using risk v value to prioritise features and schedules 5 Agreeing requirements Perfect v 'good enough' Establishing acceptance criteria Requirements traceability Agreeing project scope 6 Changing requirements Why requirements change Why change control matters Impact on projects A formal change control process Paying for change - managing change for different types of project 3 Estimating Session objectives This session will help participants: Understand the different purposes estimates satisfy Be able to use different estimating techniques Understand how to achieve different levels of accuracy 1 Key principles What's an estimate? Informed guesswork What needs to be estimated? Costs, resources, effort, duration Tolerances Precision v accuracy 2 Estimating through the lifecycle Start Plan Do 3 Early estimates Comparative ('analogous') estimating Parametric estimating Using multiple estimating techniques 4 Bottom-up estimating Bottom-up ('analytical') estimating Pros Cons 5 Three-point estimating Three-point ('PERT': Programme Evaluation and Review Technique) estimating Uncertainty and the range of estimates Calculating a weighted average Three-point with bottom-up 4 Scheduling Session objectives This session will help participants: Understand how to create a viable schedule Be able to use different forms of schedule Understand the concept of the critical path 1 Key principles The planning horizon Rolling wave planning Release planning 2 Viable scheduling Creating a viable schedule Define the scope Sequence the work Identify the risks and build in mitigations Identify the resources Estimate the effort and durations Check resource availability Refine until a workable schedule is produced 3 Critical path analysis The critical path Network diagrams Sequence logic Practical application:Network diagram with estimated durationsThe 'forward pass'The 'backward pass'Calculating total floatIdentifying the critical pathCalculating free float Gantt charts 5 Risk and issue management Session objectives This session will help participants: Understand the difference between risks and issues Be able to identify and assess risks Understand ways of mitigating risks Manage issues 1 Key principles Understanding risk Threats and opportunities The risk management processPreparation - proactive risk managementThe process - identify, assess, plan, implementStakeholder communication Roles and responsibilities Risk management strategy The risk register Risk appetite 2 Risk identification Brainstorming Interviews Assumption analysis Checklists 3 Risk assessment and prioritisation Probability, impact and proximity Triggers Qualitative risk assessment Qualitative impact assessment Qualitative probability assessment Probability / impact grid Bubble charts Risk tolerance 4 Planning countermeasures To mitigate or not to mitigate? Categories of risk response Avoid and exploit Reduce and enhance Transfer Share Accept Contingency Secondary risks 5 Issue management What is an issue? Tolerances Issues and tolerances The PRINCE2 view of issues Ownership of issues An issue management process Issue register 6 Budgeting and cost control Session objectives This session will help participants: Understand what to include in a budget - and why Choose - and use - the appropriate estimating technique Align the budget with the schedule Understand how to monitor spend and control costs Trouble-shoot effectively to get projects back within budget Session format Flexible. The session can be tailored to the participants' average level of project management maturity - a 60-minute session (delivered virtually) is an effective introduction. A 90-minute session allows for more in-depth treatment. A half-day session (face-to-face or virtual) gives time for a more challenging workshop, particularly to discuss specific cost control issues with any of the participants' current projects. 1 Where is the money coming from? Can we pay from revenue? Do we need to borrow? How long will the project take to pay back? The lifecycle of the budget Through-life costs Stakeholder involvement 2 Estimating costs Reminder: the relationship between estimates Reminder: possible estimating techniques What do we need to estimate?PeopleEquipmentMaterialsFacilities and operating costsWork package estimateEstimated project costs Estimating agile projects 3 Aligning budget and schedule Scheduling and financial periods Spreading the budget 4 Reserves and agreeing the budget Contingency reserve Management reserve Agreeing the budget 5 Cost control Planned spend over time Actual spend over time Work completed over time Evaluating different scenarios: delivery v spend 6 Trouble-shooting Why are we where we are? What has caused the project to spend at the rate it is? Why is it delivering at the rate it is? What are the root causes? What can we do about it?

Duration 3 Days 18 CPD hours This course is intended for This course is designed for broadcast engineers. It might also be of interest to technical solution architects, network engineers, and network administrators. Overview After taking this course, you should be able to: Describe the overall solution and how it works, and identify all components of the solution and their functions Understand initial sizing and capacity Understand the basic requirements for IPFM Understand how Non-Blocking Multicast (NBM) and multicast function in the IPFM Understand and verify Precision Time Protocol (PTP) clocking Describe the DCNM Media Controller Demonstrate the DCNM Media Controller configuration and verification Explain how to deploy an IPFM solution in a high-availability manner Use the DCNM Media Controller to monitor fabric and to troubleshoot basic connectivity and performance issues Understand the approach and basic steps involved in responding to alarms and other notifications The Operating Cisco IP Fabric for Media Solution(IPFMSN) v2.0 course introduces you to the Cisco© IP Fabric for Media (IPFM) solution. The course is designed for broadcast engineers who will use IP technologies to replace Serial Digital Interface (SDI)-based deployments. You will learn about Cisco IPFM deployment, operation, and troubleshooting.The course also covers the Data Center Network Manager (DCNM) Media Controller, a core component of the Cisco IPFM solution. Through lab exercises that focus on building IP fabric as a baseline for a complete IPFM solution, you will learn how to deploy and troubleshoot the DCNM Media Controller to control flows through the fabric. Course Outline Introducing Cisco IP Fabric for Media Media over IP Standardization Designing Cisco IPFM Solution Building Cisco IP Fabric for Media Exploring Non-Blocking Multicast in Cisco IPFM Describing Cisco DCNM Introducing Cisco DCNM PowerOn Auto Provisioning (POAP) Process Implementing Cisco DCNM Flow and Host Policies Precision Time Protocol Cisco IPFM Operations, Administration, and Management Cisco IPFM High Availability Monitoring and Troubleshooting Cisco IPFM Operation

Duration 2 Days 12 CPD hours This course is intended for This is an Intermediate PowerBI course geared for experienced users who wish to leverage the tool's more advanced capabilities Overview This course is about 50% hands-on lab and 50% lecture, designed to train attendees in essential PowerBI data handling functions and reporting skills, coupling the most current, effective techniques with the soundest practices. Attendees of this course will gain practical examples from the experienced instructor who has deployed and configured Power BI reporting in a wide variety of businesses. Working in a hands-on learning environment led by our expert facilitator, students will learn how to: Create Advanced Power BI Reports Advanced understanding of the data schemas and extracting data Perform advanced transformations of data or any data schema Utilize time-phased data in the creation of complex analyses Create new measures using DAX Filter data using row-level security Create and deploy content packs Use Power BI to integrate with line-of-business applications Next Level Power BI for Experienced Users is a two day, course that provides attendees already experienced with Microsoft Power BI basics with a hands-on exploration of intermediate and beyond level features. This course is geared for attendees ready to learn the advanced techniques that you, your business analysts, and your stakeholders need to create complex information from projects, program, and portfolio reporting to utilizing time-phased data and, potentially, data from your enterprise?s other line-of-business tools. Get Project Online Data Select and mine relevant tables with ODATA Advanced ODATA data mining Importing other data formats Advanced Editing of data queries Advanced Data Transformations Managing table relationships Creating & using data hierarchies Creating custom columns and measures and metrics for filtering and reporting Creating Power BI Reports Using advanced visualizations Configuring drill-down Modifying visual interactions Importing and creating custom visuals Configure Power BI Security Creating Dashboard and row-level security Utilizing Filtering using row-level security Publishing Reports and Dashboards Building Mobile Reporting Creating and deploying content packs Configuring natural language query

This course provides the necessary knowledge, understanding and skills to persons who will knowingly disturb asbestos containing materials during the course of their work activities, including building maintenance workers and supervisory personnel, and building maintenance managers.

Overview OBJECTIVES Develop practical skills enabling effective communication at the time of an incident Familiarize students with both techniques & technologies involved in crisis communication Provide a health check for your personal & organizational readiness Provide the confidence to know that your response strategies are appropriate and effective Build relevant knowledge through exploring relevant case studies and practical exercises Develop flexible creative and well-motivated teams Upcoming Events Online (USD 1950) Online Streaming Live (Flexible Dates) At Venue (USD 4500) Dubai 20 Feb - 24 Feb Istanbul 27 Feb - 3 March London 20 March - 24 March For more dates and Venue, Please email sales@gbacorporate.co.uk

The course covers investigation and risk assessment of asbestos-contaminated soils and sites, including waste classification and land remediation. It will cover the current HSE and EA legislation and guidance, assessing risk to health from asbestos in soils and how to assess the land, analysis types and interpretation, and remedial actions.

Duration 3.5 Days 21 CPD hours This course is intended for This course is aimed at students new to the language who may or may not have experience with other programming languages. Overview Learn how Python works and what it's good for. Understand Python's place in the world of programming languages Learn to work with and manipulate strings in Python. Learn to perform math operations with Python. Learn to work with Python sequences: lists, arrays, dictionaries, and sets. Learn to collect user input and output results. Learn flow control processing in Python. Learn to write to and read from files using Python. Learn to write functions in Python. Learn to handle exceptions in Python. Learn to work with dates and times in Python. In this Python training course by Webucator, Inc, students learn to program in Python. Python Basics Running Python Hello, World! Literals Python Comments Data Types Variables Writing a Python Module print() Function Named Arguments Collecting User Input Getting Help Functions and Modules Defining Functions Variable Scope Global Variables Function Parameters Returning Values Importing Modules Math Arithmetic Operators Modulus and Floor Division Assignment Operators Built-in Math Functions The math Module The random Module Seeding Python Strings Quotation Marks and Special Characters String Indexing Slicing Strings Concatenation and Repetition Common String Methods String Formatting Built-in String Functions Iterables: Sequences, Dictionaries, and Sets Definitions Sequences Unpacking Sequences Dictionaries The len() Function Sets *args and **kwargs Flow Control Conditional Statements The is and is not Operators Python's Ternary Operator Loops in Python The enumerate() Function Generators List Comprehensions File Processing Opening Files The os and os.path Modules Exception Handling Wildcard except Clauses Getting Information on Exceptions The else Clause The finally Clause Using Exceptions for Flow Control Exception Hierarchy Dates and Times Understanding Time The time Module The datetime Module Running Python Scripts from the Command Line The sys Module sys.argv

CCHRC has been specially designed to provide training for anyone who has functional responsibility for controlling health risks on a construction site, such as site supervisors and site managers.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies