463 Running courses in Cardiff delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is as follows: • Cisco Unified Communications system channel partners and resellers who are responsible for sales, implementation or administration of a Cisco Unified Contact Center. • System and technical support engineers. • Day 1 and Day 2 support personnel. • Administrative and reporting personnel. Overview Upon completing this course, the learner will be able to meet these overall objectives: • Understand the Cisco Unified CCE solution, architecture, solution options, integrated features, and call flow options. • Understand basic principles and configuration requirements for ACD activity in Cisco Unified CM, Cisco Unified CVP, ICM, and how to access and use the Cisco Finesse Agent Desktop. • Understand requirements and configurations to implement IVR activity in Cisco Unified CVP. • Understand and use administrative features and functions of ICM and implement more complex routing to include Precision Routing, routing from Cisco Unified Communications Manager and routing in a ring-no-answer condition. • Understand basic concepts and terms to access, view, modify reports and use other reporting functions provided by Cisco Unified Intelligence Center. Helps prepare learners to administer the Cisco Unified CCE v11.5 solution. Cisco Unified Contact Center Enterprise Overview Lesson 1: Presenting Cisco Unified Contact Center Enterprise Lesson 2: Cisco Unified CCE Core Components Lesson 3: Cisco Unified CCE Options Lesson 4: Basic Call Flow Models Basic ACD Configurations Lesson 1: Configuring Cisco Unified Communications Manager Lesson 2: Configuring Cisco Unified CVP Lesson 3: Configuring Cisco Unified CCE Lesson 4: Using Cisco Finesse Lesson 5: Using Cisco Unified CCE Script Editor Configuring Cisco Unified CVP for IVR Functionality Lesson 1: Basic IVR Configurations Lesson 2: Basic IVR Scripting using CVP Micro-Applications Extended Functions Lesson 1: ICM User Accounts and Feature Control Sets Lesson 2: Using ICM Utilities Lesson 3: Understanding ICM Variables Lesson 4: Precision Routing Lesson 5: Routing Calls from Cisco Unified CM Lesson 6: Ring-No-Answer Routing Cisco Unified CCE Reporting Lesson 1: Introducing Cisco Unified Intelligence Center Lesson 2: Running and Modifying CUIC Reports Lesson 3: Creating CUIC Reports and Dashboards

Learn more about entering the exciting field of Clinical Research, and how you can quickly start or grow your career! Tuesday, August 27 · 1 - 2am GMT+1 Join us to learn about Clinical Research--a growing field that offers a variety of career opportunities--and how you can acquire the skills to work in Clinical Research! Ask questions of experts working in the field. Discover the PCC Clinical Research program. In this 6 month, part-time class, you learn the foundational terms, concepts, and elements of designing and implementing clinical research, preparing you for a great job for an in-demand role. Most positions offer starting hourly rates ranging between $23-$36 per hour, and typically include benefits. Clinical research skills and knowledge are used in research sites such as medical centers and hospitals, pharmaceutical, device or biotechnology companies, or in contract research organizations. PCC's Foundations of Clinical Research curriculum was developed in partnership with local Oregon healthcare leaders including OHSU, Kaiser Permanente, Providence Health & Services, and Legacy Health. In the Foundations of Clinical Research non-credit certificate program at PCC's Institute for Health Professionals, you will learn will ethical, regulatory, historical and operational, recruitment, reporting, and other principles that support successful clinical trials. Seeking a new opportunity in a growing field? Already a CNA or Nurse and looking to transition to a role that doesn't have you running ragged all day? Check out PCC's IHP Clinical Research program!

Company Accounting - tax return, Annual accounts and Annual return Training Course If you want to work in a Finance or Tax department of a business or as an accountant in well-known accountancy firms it is vital that you know how to prepare accounts for the company and submit them to the right places. This UK Tax accounting course will upgrade your skills to higher level. Completing this course will enable you learn more about the procedures involved in submitting Corporate Tax Return. Once you are skilled on this, you can offer this as a service to potential business clients and earn £££. If you are running a business you can process your own Business Tax return and Accounts, instead of paying someone else to do it. It will save a lot of money (£££) every year. You will stay ahead of the competition if you are looking for a job in the Accounting or Tax Industry once you are skilled Business Accounting and Tax procedures. Identifying requirements to set up a UK Company Identifying Statutory Requirements for Companies Introduction to Confirmation Statement processing Identifying Types of Companies based on size Identifying Types and requirements of various Submissions available Identifying minimum requirements in a Balance Sheet and Profit & Loss Account Identifying Tax Return periods and deadlines Identifying Penalties for Late filing Identifying Closing Down Procedures for Companies Introduction to the Filing Company accounts procedure Company house forms and correspondences Understanding of IXBRL requirements Understanding submission procedures using HMRC Online CT600 (Webfiling) Using one Business(SME/Micro Entity) case to understand the procedures on Annual Submission for Company Tax Return and Accounts submission

Monthly online ekphrastic writing workshops exploring contemporary artworks for story inspiration.

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Analysts, Business Process Owners/Team Leads/Power Users, Data Consultants /Managers, Program/Project Managers, and Solution Architects. Overview Gain hands-on experience in running SAP BusinessObjects BI tools on top of SAP NetWeaver BW data In this course, students are provided with detailed knowledge on the integration for reporting of SAP BusinessObjects BI Platform 4.x with SAP NetWeaver 7.x. Overview of SAP BusinessObjects Business Intelligence(BI) 4.x and SAP NetWeaver Describing SAP BusinessObjects 4.x Semantic Layer in SAP BusinessObjects BI 4.x and Data Connectivity Describing Semantic Layer Technology Creating a Universe with the Information Design Tool SAP BusinessObjects Analysis, Edition for Microsoft Office and SAP NetWeaver BW Creating a Workbook in SAP BusinessObjects Analysis, Edition for Microsoft Office Creating a Workbook with SAP BusinessObjects Analysis, Edition for Microsoft Office and SAP BW SAP BusinessObjects Analysis, Edition for OLAP and SAP NetWeaver BW Creating a Workspace with SAP BusinessObjects Analysis, Edition for OLAP Creating a Workspace in SAP BusinessObjects Analysis, Edition for OLAP Based on a BW Query SAP BusinessObjects Design Studio and SAP NetWeaver BW Creating an Analytical Application in SAP BusinessObjects Design Studio Creating an Analytical Application with Scripting SAP BusinessObjects Dashboards and SAP NetWeaver BW Creating a Dashboard with SAP BusinessObjects Dashboards Creating a Dashboard with BEx Query SAP Crystal Reports and SAP NetWeaver BW Creating a Report with SAP Crystal Reports for Enterprise Creating a Report with SAP Crystal Reports 2013 Creating a Report with SAP Crystal Reports 2013 and SAP NetWeaver BW Differentiating SAP Crystal Reports 2013 and SAP Crystal Reports for Enterprise SAP BusinessObjects Web Intelligence and SAP NetWeaver BW Creating a Web Intelligence Document Creating a Web Intelligence Document for SAP NetWeaver BW SAP BusinessObjects Explorer and SAP NetWeaver BW Creating an SAP BusinessObjects Explorer Information Space Describing Data Connectivity between SAP BusinessObjects Explorer and SAP NetWeaver BW Information Distribution Reporting with Mobile Devices Creating Publications with SAP Crystal Reports and SAP BusinessObjects Web Intelligence Integrating BI Content with SAP NetWeaver Enterprise Portal

Duration 4 Days 24 CPD hours This course is intended for Account and project managers Contact Center Enterprise (CCE) administrators Deployment engineers Technical sales Overview After taking this course, you should be able to: Navigate CCE configuration and scripting tools Configure a dialed number, call type, and media routing domain Build a basic Cisco Intelligent Contact Management (ICM) script Configure agents and skill groups Configure basic Interactive Voice Response (IVR) functionality Implement attributes and precision queues Configure Ring-No-Answer (RONA) using CCE configuration tools Configure and populate an agent team and primary supervisor Improve agent efficiency through finesse enhancements Build and test a basic Voice XML (VXML) application Implement roles, departments, and business hours Run Cisco Unified Intelligence Center (CUIC) reports using the Reporting tool The Administering Cisco Contact Center Enterprise (CCEA) v1.0 course teaches you the contextual information around call flow between components in the Cisco© Unified Contact Center Enterprise (UCCE) solution including intelligent contact routing, call treatment, network-to-desktop Computer Telephony Integration (CTI), and multichannel contact management over an IP infrastructure. You receive hands-on practice using administrative tools to perform routine adds, moves, and changes in an inbound contact center environment. Cisco Unified Contact Center Review Contact Center Basics Components and Architecture Deploying Basic Call Settings Associate Basic Call Settings Explore Media Routing Domains Building a Basic Cisco Unified Contact Center Enterprise Script Introduce Script Editor Use Script Editor Nodes Configuring Basic Agent Functionality Introduce Agent Functionality Configure Agent Desk Settings Configuring Basic Call Treatment and Queuing Explore Media Server and Files Introduce Microapps Implementing Precision Routing Introduce Precision Routing Basics Examine the Migration Path Configuring RONA Support Introduce RONA Functionality Identify RONA Timeout Considerations Configuring Agent Teams and Supervisors Configuring Teams and Supervisors Explore Agent Roles Administering the Cisco Finesse Desktop Administering Cisco Finesse Desktop Introduce Cisco Finesse Administration Implementing Voice XML Applications Introduce VXML Build a Basic Call Studio Project Configuring Roles, Departments, and Business Hours Examine Post-Call Survey Functionality Configure Post-Call Survey Running Unified CC Enterprise Reports with Unified Intelligence Center (IC) Configure Unified CC Enterprise Administrators Configure Departments

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

This one-day workshop is designed to build upon skills already acquired using Microsoft Word, whether participants are self-taught or have previously attended a course. It gives participants a good understanding of managing different types of paragraph indents, and managing automated numbered paragraph lists. This course will help participants: Create and manage the layout of paragraphs Create and manage multi-level numbered paragraphs Effectively insert, use and manage section breaks Create and manage columns Find, create and apply styles Create and update a table of contents from styles Work with styles to manage formatting Work with sums in tables and use table headings Input and edit text using AutoText Work with SmartArt graphics Link to other files using paste special 1 Managing paragraph layout Controlling paragraph layouts with indents Creating and managing paragraph hanging indents 2 Numbering paragraphs Creating a new multi-level numbered paragraph Managing existing multi-level numbered paragraphs 3 Inserting columns Creating columns from existing paragraphs Setting up columns Managing columns 4 Document section breaks Controlling document layout using section breaks Managing page orientation using section breaks Managing page numbering using section breaks 5 Using styles Applying quick styles Finding existing styles Creating and saving styles Modifying styles Creating a table of contents from styles Updating a table of contents 6 Using quick parts Saving content to quick parts Modifying saved quick parts Inserting content using AutoText Editing AutoText entries Inputting text using AutoCorrect 7 Advanced table features Sorting table columns Running sums in tables Repeating table headings at top of page Importing Excel content in tables Using table properties 8 Creating a mail merge Creating letters, labels and emails Merging addresses from external files Using Outlook's address book to merge Merging to email 9 SmartArt graphic Visually communicate content with SmartArt Choosing a SmartArt graphic Inputting into SmartArt Modifying and formatting SmartArt graphics 10 Linking to other files Linking to files using paste special Linking an Excel chart to a document Managing linked content from Word

Duration 4 Days 24 CPD hours This course is intended for This in an intermediate level Java development course geared for students experienced with Java 8 or later programming essentials who wish to quickly get up and running with advanced Java skills. This course does not cover Java programming fundamentals. Overview Students will leave this course armed with the required skills to improve their Java applications using sound coding techniques and best practices. This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in advanced development skills, coupling the most current, effective techniques with the soundest industry practices. Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Develop modular applications in Java Utilize the tooling that is provided in Java 9 to migrate, monitor and optimize applications Use the new JShell tool to quickly test java constructs Understand how the implementation of the String class has been updated to decrease the memory footprint Use the enhancements made to the Concurrency API, working with Completable Future instance of Thread pools Specific Java 9 features that are covered in the course include: The Java Module System (project Jigsaw) JShell Updated try-with-resources Performance enhancements in Java 9 Multi-Release Jar files This fast-track course is designed for experienced developers who have prior working knowledge of basic Java 8 or Java 9 and want to take advantage of the newest features of Java 9 that can help improve performance and functionality of Java 9 applications. You will gain invaluable insight into how to leverage Modules, scale applications into multi-core environments, improve performance, and become a more effective Java 9 developer. Java 9 Updates Review of What is New in Java 9 Milling Project Coin The Java Module system (Jigsaw) Why JigSaw? Introduction to the Module System The Module Descriptor Working with Modules JShell JShell More Java 9 Other New Java 9 Features Performance Optimizations Memory Management (Optional) Multithreading and Concurrency Multithreading Concurrent Java Java 8 Concurrency Updates Reflection and References Introspection and Reflection Reference Objects Effective Java Objects, Declarations, and Initializations Exceptions Writing High-Performance Applications Profiling and Benchmarking Profiling Tools Code Optimization Techniques Code Optimization Myths Design Optimization Techniques

Whetstone Communications and comms2point0 are pleased to bring you the Data Bites series of free webinars. Our aim is to boost interest and levels of data literacy among not-for-profit communicators.