147 Numbers courses in Cardiff delivered Live Online

This one-day workshop is designed to give participants an understanding of the fundamentals of Microsoft Word and its commands, with quick ways to enter text, control formatting and edit paragraphs. This course will help participants: Create, manage and save documents, files and folders Create paragraph lists, bulleted and numbered paragraphs Edit, modify and format paragraphs Create and format tables Use shortcuts to navigate documents Format the layout of documents Manage page headers and footers Insert and managing pictures and diagrams within a document Learn time saving tips and tricks to obtain a professional finish to documents Use printing options 1 Creating documents Getting help Creating and saving documents Accessing recently used documents Managing files and folders 2 Entering and editing text Inserting and editing paragraph text Cutting, copying and pasting text Using tool tips to manage content Applying and removing text formatting Correcting spelling and grammar 3 Creating paragraph lists Creating bulleted paragraphs Creating numbered paragraphs Managing bulleted and numbered lists 4 Modifying paragraphs Changing paragraph alignment Indenting a paragraph Adding borders and shading to paragraphs Formatting paragraphs using styles 5 Navigating documents Using shortcuts for navigating documents Using 'Go To' to navigate documents Finding and replacing text Changing to read view 6 Document layout Inserting page breaks Changing page orientation Adjusting page margins Adding borders to pages 7 Page headers and footers Inserting page headers and footers Using header and footer commands Inserting page numbers Using different first page 8 Inserting pictures and diagrams Inserting pictures from your computer Inserting online pictures Flowing text around a picture Changing a picture Inserting SmartArt diagrams Entering text into SmartArt 9 Inserting tables Using tabs to create tables Resizing and repositioning tables Inserting and deleting rows and columns Using a table's commands Changing a tables text direction Formatting tables 10 Printing documents Previewing and printing documents Using the printing tools Printing parts of a document

This course starts with data transformation strategies, exploring capabilities in the Power Query Editor, and data-cleansing practices. It looks at the Advanced Query Editor to view the M language code. This course focuses on advanced DAX measures that include filtering conditions, with a deep dive into time intelligence measures. Like the M query language, DAX is a rich functional language that supports variables and expression references. This course also looks at the creation of dynamic dashboards and incorporates a range of visualisations available in Power BI Desktop and online in the AppSource. The course finishes with a look at setting up end user level security in tables. 1 The query editor Split by row delimiter AddDays to determine deadlines Advanced query editor 2 Fuzzy matching joins Matching inconsistencies by percentage Matching with transformation table 3 Logical column functions Logical functions IF, AND, OR Using multiple conditions Including FIND in functions 4 Editing DAX measures Make DAX easier to read Add comments to a measure Using quick measures 5 The anatomy of CALCULATE Understanding CALCULATE context filters Adding context to CALCULATE with FILTER Using CALCULATE with a threshold 6 The ALL measure Anatomy of ALL Create an ALL measure Using ALL as a filter Use ALL for percentage 7 DAX iterators Anatomy of iterators A closer look at SUMX Using RELATED in SUMX Create a RANKX RANKX with ALL 8 Date and time functions Overview of functions Create a DATEDIFF function 9 Time intelligent measures Compare historical monthly data Create a DATEADD measure Creating cumulative totals Creating cumulative measures Visualising cumulative totals 10 Visualisations in-depth Utilising report themes Create a heatmap Comparing proportions View trends with sparklines Group numbers using bins Setting up a histogram 11 Comparing variables Visualising trendlines as KPI Forecasting with trendlines Creating a scatter plot Creating dynamic labels Customised visualisation tooltips Export reports to SharePoint 12 User level security Setting up row level security Testing user security

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This course is designed for those already using Power BI Desktop and are ready to work with more comprehensive elements of analysing and reporting in Power BI. The course maintains a balanced look at data analysis including the Power Query Editor, with a deep dive into writing DAX formulas, and enhanced dashboard visualisations. The aim of this course is to provide a more complete understanding of the whole Power BI analytics process, by working with business examples that will equip you with the necessary skills to output comprehensive reports and explore Power BI's analytical capabilities in more depth. 1 The Query Editor Grouping rows in a table Split row by delimiter Add days to determine deadlines The query editor 2 Fuzzy Matching Joins Matching inconsistencies by percentage Matching with transformation table 3 The Query Editor M Functions Adding custom columns Creating an IF function Nested AND logics in an IF function 4 DAX New Columns Functions Including TRUE with SWITCH Using multiple conditions The FIND DAX function The IF DAX function Logical functions IF, AND, OR 5 Editing DAX Measures Making DAX easier to read Add comments to a measure Using quick measures 6 The Anatomy of CALCULATE Understanding CALCULATE filters Add context to CALCULATE with FILTER Using CALCULATE with a threshold 7 The ALL Measure Anatomy of ALL Create an ALL measure Using ALL as a filter Use ALL for percentages 8 DAX Iterators Anatomy of iterators A closer look at SUMX Using RELATED with SUMX Create a RANKX RANKX with ALL 9 Date and Time Functions Overview of functions Create a DATEDIFF function 10 Time Intelligent Measures Compare historical monthly data Create a DATEADD measure Creating cumulative totals Creating cumulative measures Visualising cumulative totals 11 Visualisations In-Depth Utilising report themes Applying static filters Group data using lists Group numbers using bins Creating heatmaps Comparing proportions View trends with sparklines 12 Comparing Variables Visualising trendlines as KPI Forecasting with trendlines Creating a scatter plot Creating dynamic labels Customised visualisation tooltips Export reports to SharePoint

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

Duration 5 Days 30 CPD hours This course is intended for Application Developers; Programmers, Sales and Pre Sales, Technical Support, Project Managers, Cisco customers, partners and employees involved in UCCE/CVP or CVP stand alone deployments Overview Upon completing this course, the learner will be able to meet these overall objectives: Introduction to the Java API, its capabilities and limitations - Practice - This course is applicable for any version of CVP and Studio. Introduction to Voice Elements and their complexity - creating every different Java component to extend Studio (see below) Overview of a UCCE with CVP Comprehensive Call Flow Module 1 Overview of a UCCE with CVP Comprehensive Call Flow Module 2 ICM routing scripts to route calls to CVP VXML Server applications Passing data (e.g., global variables) Parsing and evaluating data returned Queueing Assigning data to send to Finesse. Module 3 Writing Call Studio scripts (applications) Prompting Callers ? using pre-recorded audio; TTS text-to-speech; Say it Smart to format audio as digits, date, time, currency; input error reprompting Menus Collecting and confirming caller input, such as account numbers, dates of birth, etc Working with variables ? Session data, Element data, Call data, Local data (CVP11) Introduction to retrieving data from back end systems: SQL Database interaction ? using the Studio Database element to select data Web service interaction- Studio Web Services element for SOAP-web services and calling a simple REST web service Playing audio to callers during back-end data retrieval Catch events Working with counters, decisions, math Introduction to javascript for substrings and string length Setting VoiceXML properties affecting the gateway Multi-Language applications Module 4 Working with Version Control Module 5 ÿImplementing a Post Call Survey Module 6 Using the Studio Debugger to test applications within Studio Module 7 CVP Reporting Server and CVP CUIC Reports Best practices regarding naming elements and variables Configuring data to pass to the Reporting Server using OAMP Understanding Reporting Server tables Understanding the Application Summary CUIC reports Module 8 Administration covered throughout the course OAMP Operations Console to deploy applications to VXML Server Using Studio Documenter to print Visio-like diagrams of the application Configuring log file properties Using logs for debugging applications Administrative scripts for graceful updates or suspensions of the server Important log, debug, administration files Module 9 Cisco Courtesy Callback Detailed discussion of the CCB Call flow, the ICM script, and the 5 Studio scripts used for Courtesy Callback.

– in yourself and others Research shows that exercising self-compassion creates more resilience against stress, greater ability to focus, increases happiness and optimism, improves relationships and more. This live online course explains why and gives you a range of effective techniques you can use straight away…  Accredited CPD Certificate: 6 hours Length: 1 day (9.15am - 4.00pm BST) Absolutely brilliant live workshop from beginning to end!CARMEL AUSTIN Many people struggle with showing themselves compassion – they may be highly critical of themselves, or wracked with feelings of shame, self-doubt or self-worth – but with the right approach it is possible to help them develop this key component of recovery and wellbeing. This new online self-compassion course provides you with all you need to know to bring self-compassion into your practice, your personal life and the lives of others – with plenty of time to try out the techniques for yourself. Join our expert tutor Julie Johnson live online on Tuesday 4th June 2024 for this helpful CPD training delivered via Zoom. When you book, we’ll email your booking confirmation – your link for joining the Zoom workshop will be sent the day before the event – numbers are limited so book soon to ensure your place. BONUS RECORDING – the training is recorded, in case anyone experiences technical difficulties, so you’ll also get a recording afterwards for a limited time to maximise your learning. Why take this course Being compassionate towards ourselves when things go wrong, or we are struggling to cope, is not self-pity – it is an essential skill that can be learnt and developed, giving people the strength to move forward. When things don’t go our way or we feel we can’t cope – or something bad has happened to us – we may feel ashamed or blame ourselves for not being good enough, capable enough, strong enough and so on. This negative self-criticism can be highly damaging and hold us back. It is far more empowering to turn towards ourselves with compassion (which is what self-compassion literally means). Helping people to find the best ways to draw out their self-compassion is a skill that needs to be learned. Different from empathy (the ability to appreciate what another person is experiencing) and from self-pity (which is self-focused, exaggerates personal suffering and is disempowering and draining), self-compassion enhances resilience, allowing us to recognise our personal failings while appreciating that we are all human and make mistakes – thus helping us to move on past them. Learning how to use self-compassion from a human givens perspective makes it an extra-valuable tool for supporting our clients in getting their innate needs met and making best use of their innate resources. It may also help you in your own life. This indepth 1-day live online self-compassion experiential training day shows you how. A wonderful online learning experience, jam-packed full of useful teaching and loads of references to resources for further self study and development...KARSTEN ALVA-JORGENSEN, EXECUTIVE COACH What will you learn What self-compassion is and isn’t Research findings that demonstrate the positive effects on the body and mind of exercising self-compassion Why some people find self-compassion difficult The roots of self-compassion A new empowering perspective on making mistakes How practising self-compassion helps our ability to problem solve An important adjunctive tool for working with harsh self-criticism, trauma, emotional pain; bereavement, loss, change, and chronic-conditions Why self-compassion increases resilience Simple techniques for self-soothing and self-care How to apply these new understandings in therapy The especial value of using these techniques with parents and children How to bring these technique seamlessly into everyday life Ways that self-compassion helps with meeting emotional needs The impact of self-compassionate practice on organisations How self-compassion can help children become happier and kinder Why compassion for oneself enhances sense of status Ways that exercising self-compassion lowers emotional arousal and unhelpful thinking How self-compassion differs from both compassion and empathy The dangers of too much self-compassion How self-compassion helps focus the imagination positively Creative applications of self-compassion How self-compassion maps onto every human need and innate emotional resource, making it an essential tool in every HG practitioner’s toolbox Practical examples and case histories to learn from Who is this course suitable for? Anyone interested for personal or professional reasons Including anyone working as a practitioner helping those in mental distress or with chronic physical conditions Anyone interested in skills to help promote their own wellbeing and that of others Anyone working or living with children, or young and older people Anyone working with parents Anyone working within a caring context, such as carers, teachers, NHS workers, foster carers, social workers etc Therapists, counsellors and mental health professionals Course Programme The ‘Developing Self-Compassion’ live online training day starts at 9.15am and runs until 4.00pm. (BST). 9.15am Join the Zoom meeting 9.00am Introduction to self-compassion 11.00am Comfort break and discussion 11.30am Unpacking self-compassion 1.00pm Lunch break 1.45pm Self-compassion skills 2.45pm Comfort break and discussion 3.00pm Pulling it all together 4.00pm End days This course has been independently accredited by the internationally recognised CPD Standards Office for 6 hours of CPD training. On completion of this training you’ll receive CPD certificates from the College and the CPD Standards Office.

This course is for kids and young learners who: Have completed Level 1. Know how to read, write and speak basic Greek. Communicate in simple every day activities with family and friends. Understand and use simple and common expressions in Greek.

Duration 2 Days 12 CPD hours This course is intended for This course is designed for people who want to learn the Python programming language in preparation for using Python to develop software for a wide range of applications, such as data science, machine learning, artificial intelligence, and web development. Overview In this course, you will develop simple command-line programs in Python. You will: Set up Python and develop a simple application. Declare and perform operations on simple data types, including strings, numbers, and dates. Declare and perform operations on data structures, including lists, ranges, tuples, dictionaries, and sets. Write conditional statements and loops. Define and use functions, classes, and modules. Manage files and directories through code. Deal with exceptions. Though Python has been in use for nearly thirty years, it has become one of the most popular languages for software development, particularly within the fields of data science, machine learning, artificial intelligence, and web development?all areas in which Python is widely used. Whether you're relatively new to programming, or have experience in other programming languages, this course will provide you with a comprehensive first exposure to the Python programming language that can provide you with a quick start in Python, or as the foundation for further learning. You will learn elements of the Python 3 language and development strategies by creating a complete program that performs a wide range of operations on a variety of data types, structures, and objects, implements program logic through conditional statements and loops, structures code for reusability through functions, classes, and modules, reads and writes files, and handles error conditions. Lesson 1: Setting Up Python and Developing a Simple Application Topic A: Set Up the Development Environment Topic B: Write Python Statements Topic C: Create a Python Application Topic D: Prevent Errors Lesson 2: Processing Simple Data Types Topic A: Process Strings and Integers Topic B: Process Decimals, Floats, and Mixed Number Types Lesson 3: Processing Data Structures Topic A: Process Ordered Data Structures Topic B: Process Unordered Data Structures Lesson 4: Writing Conditional Statements and Loops in Python Topic A: Write a Conditional Statement Topic B: Write a Loop Lesson 5: Structuring Code for Reuse Topic A: Define and Call a Function Topic B: Define and Instantiate a Class Topic C: Import and Use a Module Lesson 6: Writing Code to Process Files and Directories Topic A: Write to a Text File Topic B: Read from a Text File Topic C: Get the Contents of a Directory Topic D: Manage Files and Directories Lesson 7: Dealing with Exceptions Topic A: Handle Exceptions Topic B: Raise Exceptions

Duration 1 Days 6 CPD hours This course is intended for Individuals who have knowledge, skills, and experience developing front-end and/or back-end JavaScript applications for the web stack. Developers who have experience designing, developing, testing, and deploying applications using an object-oriented programming language and would like to transfer those skills to building applications with JavaScript. Overview When you complete this course, you will be able to: Understand the different exam objectives and their weighting on the exam. Know which JavaScript concepts to focus on to best prepare for your exam. Study the provided repository of JavaScript sample code. Are you ready to take the next step in your career by becoming a Salesforce Certified JavaScript Developer I? By covering the details around the exam structure and objectives, this course will help hone your problem-solving skills and reinforce your knowledge of key features and concepts of the JavaScript programming language. This course includes a voucher to sit for the Salesforce JavaScript Developer I certification exam. JavaScript Basics Data Types and Variables Type Conversion (explicit and implicit) Collections Working with Strings, Numbers, and Dates Working with JSON Objects, Functions, and Classes Creating Objects Defining Functions Object Prototypes Declaring Classes Using JavaScript Modules Browser and Events Document Object Model DOM Events Browser Dev Tools Debugging and Error Handling Throwing and Catching Errors Working with the Console Asynchronous Programming Callback Functions Promises Async/Await Server Side JavaScript Node.js CLI Node.js Libraries Debugging in Node.js npm Testing Assertions Types of Testing Additional course details: Nexus Humans Salesforce Certification Preparation for Salesforce JavaScript Developer I (CRT600) 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 Salesforce Certification Preparation for Salesforce JavaScript Developer I (CRT600) 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.