327 Bar courses in Cardiff delivered Live Online

Learn all the quick tips and tricks you didn’t know about in Word and how to properly setup new documents. Course overview Duration: 1 day (6.5 hours) Our Word Document Production (Part 1) course shows you how Word was designed to be used and demonstrates the powerful tools available. This course will enable you to originate professional documents with ease, ensuring that modifications are quick and uncomplicated. It looks at some of the common frustrations and how to avoid them. This course is aimed at existing Word users who want to get the best out of the package Objectives  By the end of the course you will be able to: Customise Word Use different Word views Use line, paragraph and page breaks correctly Set indents and tabs Use styles for easy formatting Work with section breaks Work with automatic correction features Insert and modify tables Content Word setup Using different views Customising the status bar Customising the Quick Access bar and Ribbon Document setup Using the Navigation Pane Using Show / Hide Line vs paragraph breaks Using page break Using the ruler Setting indents and tabs The different types of indent Using dot leader tab Bullets and numbering Working with simple numbered and bulleted lists Sorting lists Working with multi level lists Styles The importance of styles Creating, amending and applying Character Styles Amending and applying Paragraph Styles Setting bullet point styles Using the Style Inspector Reorganising a document Using Outline View Promoting and demoting headings Displaying Styles names in Draft and Outline views Page and number fomatting Section vs page breaks Setting page orientation Setting page margins Displaying page border Automatic corrections Working with Quick Parts Setting autocorrect options Autoformat while typing Creating simple tables Inserting or drawing a table Modifying table formatting Adding rows and columns Changing row heights and column widths

AutoCAD-Mac Introduction to Advanced Training Course This project-based course is tailored for AutoCAD Mac users, architecture and interior design students and professionals. Click here for more info: Website When Can I Book This Training Course? Personalized experience with 1-on-1 sessions designed to fit your unique needs. Available from Monday to Saturday, 9 am to 7 am Or Call to Book 02077202581. Duration of Training: 16 hours. Training Method:  1-on-1, providing the option for in-person sessions or live online training. Course Content Section 1: Introduction Course Overview Section 2: Basic Concepts Status Bar and The Units Drawing Commands Control Points - Vertex or Verteces Modifying Commands Snap Settings Drawing An Outline Section 3: Dimensions and Customization Adding Dimensions and Dimension Style Manager Importing Dimension Styles Customizing Shortcuts Section 4: Advanced Techniques Adding Walls Thickness with Offset Command Adding interior layout Cleaning Layout lines with Trim Section 5: Text and Styling Text Editing and Importing Text Styles Main File Formats in AutoCAD Section 6: Design Elements Creating Openings in the Floor Plan Adding Openings - Part 2 Adding Openings - Part 3 Drawing Doors & Windows Using Line Types & Linetype Scale Group and Ungroup Commands Using Blocks Using Blocks Library & Dynamic Blocks Section 7: Layers and Furnishing Layers - Part 2 Layers - Part 3 Furnishing Bedrooms & Bathrooms - Part 1 Adding Furniture, Fixtures, and Equipments | part 2 Adding Furniture, Fixtures, and Equipments | part 3 Drawing the Kitchen Drawing the Living Room Drawing Dining Room & Adding Casework Adding Steps and Railings Using Stretch Command Finishing Steps and patio areas Hatch command Hatch Customization Adding Plants & Finishing Floor Plan Section 8: Layout and Printing Paper Space & Page Setup Manager Working with Viewport & Using Print Command Scale & Using Multiple Viewports Locking Viewport Scale Drawing A Titleblock - Part 1 Drawing A Titleblock - Part 2 Copying the Titleblock Using Titleblock with Attributes Section 9: Roof Plan and Organization Drawing The Roof Plan Placing Roof Plan on Sheet Organizing Project Drawings & Using Layer Freeze AutoCAD Crashing And What To Do Section 10: Elevations Exterior elevations - Drawing the Outline Exterior elevations - Drawing the Openings Elevations - Detailing - Part 1 Elevations - Detailing - Part 2 Elevations - Repeating the workflow Elevations - Finishing 3rd Elevation Elevations - Drawing the final elevation Section 11: Sections Sections: Drawing Cut Lines & the Outline Sections: Placing 1st Section on Sheet Sections: Drawing Section #2 - Different Technique Sections: Adding Final Detail Section 12: Interior Elevations Interior Elevations: Drawing the Outline Interior Elevations: Placing on Sheet Interior Elevations: Using Block Clip Interior Elevations: Final Drawing Section 13: Conclusion Putting the Final Set Together Proficient AutoCAD Skills: Master essential tools for efficient drawing creation and manipulation. Accurate 2D Designs: Create precise and high-quality layouts with attention to detail. Effective Object Handling: Excel in selecting, moving, copying, and scaling objects. File Management: Organize drawings efficiently and understand different file formats. Precise Measurements: Utilize inquiry commands for accurate design analysis. Annotations and Hatching: Apply text, dimensions, and hatching to enhance drawings. Object Organization: Manage layers and object properties for organized designs. Reusable Content: Efficiently use blocks, tool palettes, and groups for productivity. Layout Optimization: Create layouts with viewports for optimal design presentation. Professional Output: Generate professional plots and PDF output for polished results. Enhanced Productivity: Explore AutoCAD toolsets and web/mobile apps for streamlined workflow. Course Overview: Learn versatile AutoCAD for Mac drawing techniques, applicable across all industries, enabling you to excel in the application. Our trainers incorporate exercises from various disciplines. Who Should Attend: Ideal for newcomers to AutoCAD for Mac, self-taught users seeking correct techniques, and those transitioning from other CAD tools. Requirements: A solid Mac OS understanding is essential, while prior CAD knowledge is not required. Pre-course preparation guidance is provided for new AutoCAD users. Highlights: Perfect for AutoCAD for Mac beginners. Gain skills for precise 2D layouts and designs. Versatile drawing techniques for all industries. Choose between in-class or live online training. Autodesk Certified Tutors: AutoCAD 1-2-1 courses. Hands-on learning with expert trainers. Lifetime post-course email support. Tailored on-request training available. Certificate: Digital certificate included. Tailored Mac Training: Excel in AutoCAD with specialized Mac training, leveraging its distinct features and interface for heightened efficiency. Comprehensive Skill Enhancement: Advance from fundamental to intermediate AutoCAD Mac proficiency, creating precise and professional 2D drawings. Industry-Relevant Expertise: Attain in-demand skills valued by employers in architecture, engineering, and design sectors. Hands-On Project Exposure: Immerse yourself in practical exercises mirroring real-world design scenarios, fostering practical competence. Lesson Recordings for Review: Access recorded lessons for reinforcement and deeper AutoCAD Mac comprehension. Ongoing Email Support: Benefit from lifetime email support, ensuring assistance beyond course completion."

This programme provides an intensive, one-day overview of the key concepts and techniques of project management. The project management methods presented can be applied to a wide range of projects and the course emphasises both the task and the team-related aspects of project management. The aims of the programme are to: Present the key concepts of project management Provide a structured approach for managing projects Demonstrate tools and techniques for planning and controlling project work Enable participants to apply the techniques to their own projects At the end of the programme, participants will: Recognise the benefits of a structured approach to project work Be able to apply a range of practical tools and techniques to improve their personal effectiveness in project work Have a means of determining the status of current projects and know what actions are needed to ensure success 1 Introduction Why this programme has been developed Review of participants' needs and objectives 2 Key concepts The characteristics of projects and project work The four key phases of a project Essential lessons from past projects Key success factors Achieving success through the 'Team-Action Model' Challenges of the multi-project situation 3 Setting project goals Understanding 'customer' requirements Managing project stakeholders and gaining commitment Using questioning skills to define goals and success criteria Defining and documenting the scope of the project 4 Project planning Defining what has to be done Creating a work breakdown Agreeing roles and responsibilities for the work Developing a programme using networks and bar charts Estimating timescales, costs and resource requirements Planning exercise: participants develop a project plan Identifying and managing project risks Using project planning software Managing and updating the plan 5 Project implementation and control Creating a pro-active monitoring and control process Techniques for monitoring progress Using latest estimates Managing project meetings Resolving problems effectively Managing multiple projects Personal time management 6 Course review and action planning Identify actions Sponsor-led review and discussion of proposals Conclusion

This one-day introduction workshop is intended for users who need to get to grips with the essentials of Microsoft Outlook. It will provide you with the basic skills you need to effectively start using Outlook to manage your emails, calendar, contacts, tasks and notes. This course will help participants: Send messages with added email options applied Quickly file messages away for safe keeping Manage messages and attachments Organise calendar meetings and check other people's schedules Respond to a meeting request Create a contacts list Manage daily tasks Use reading and folder panes Create and manage folders Use auto reply Use notes Utilise Outlook's printing functionality 1 Getting started Using the reading pane Using the folder pane Changing inbox views Managing the to-do bar 2 Emailing messages Replying to and forwarding messages Adding message options Attaching files to an email message Opening and saving attachments 3 Outlook folders Creating and managing folders Moving messages into folders Adding folders to favourites Using search folder Always moving messages in conversation Automatically move messages with rules 4 Managing messages Using instant search Finding messages by criteria Grouping and sorting messages Categorising messages Adding message follow up flags Filtering messages with the people pane 5 Using auto reply Replying to messages whilst you are away Managing auto reply settings Applying rules to auto reply 6 Outlook calendars Adding and editing appointments Adding calendar reminders Moving and copying appointments Creating all day events Recurring appointments Sharing your calendar Opening another user's calendar 7 Planning a meeting Arranging meetings Inviting attendees to meetings Responding to meeting invites 8 Outlook contacts Creating and editing a contact Saving emails as contacts Finding contacts Sending messages to contacts Creating contact groups 9 Adding tasks Creating and editing tasks Completing tasks Assigning a task to another user Responding to a task request 10 Notes Creating and editing tasks Emailing notes Sticking notes on your desktop 11 Printing Printing messages Printing calendars Printing contacts

Learn everything you need to know to be fully competent with Mac iOS. This syllabus takes you around the basics and then on another deep dive into all the elements. Discover things you never knew and speed up your experience using Mac iOS. Module 1: Introduction to Mac iOS and Hardware • Understanding the Mac ecosystem • Overview of Mac hardware components • Navigating the Mac interface Module 2: Mac Operating System (macOS) • Exploring the macOS interface • Customizing system preferences • File management and organization on macOS Module 3: Essential Mac Apps • Using Safari for web browsing • Effective web searching using search engines • Email management with Apple Mail • Calendar and task management with Apple Calendar Module 4: Software Installation and Updates • Installing and updating software applications • Managing and uninstalling programs • App Store and app installations Module 5: Productivity and Collaboration • Using iCloud for cloud-based storage and collaboration • Working with Notes, Reminders, and Messages • Collaborative document editing with iWork Module 6: Multimedia and Creativity • Basic image editing with Photos and Preview • Music creation with GarageBand • Creating multimedia presentations with Keynote Module 7: Troubleshooting and Maintenance • Identifying and resolving common Mac issues • Using Activity Monitor for performance monitoring • Maintenance tasks for macOS Module 8: Mac Security and Privacy • Overview of Mac security features • Online safety and privacy best practices • Protecting personal data and devices Module 9: Advanced Mac Features • Customizing the Dock and Menu Bar • Using Siri for voice commands and search • Continuity features for seamless device integration Module 10: Using AI and Chat GPT • Introduction to AI and Chat GPT technology • Exploring AI-powered features on Mac • Using Chat GPT for productivity and assistance Module 11: Browsing and Search Engines • Effective use of web browsers on macOS • Utilizing search engines for research • Online safety and privacy while browsing Module 12: Cybersecurity • Understanding cybersecurity threats • Protecting against malware and phishing attacks • Secure online practices and password management Module 13: Software Installation and Factory Reset • Installing and updating software applications • Factory resetting a Mac device • Data backup and recovery during resets Module 14: Final Projects and Assessment • Culminating projects showcasing Mac iOS skills • Practical exams assessing Mac software knowledge and skills • Preparing for industry-recognized certifications (optional) Please note that the duration and depth of each module can vary depending on the level of expertise required and the specific needs of the learners. Additionally, it's important to adapt the curriculum to the learners' proficiency levels, whether they are A Level/GCSE students or adult learners with different experience levels.

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

As workplaces seek to become more deliberate in enabling inclusivity, managers play a vital role in shaping environments where neurodivergent team members can succeed.

Duration 2 Days 12 CPD hours This course is intended for Executives, Project Managers, Business Analysts, Business and IT stakeholders working with analysts, Quality and process engineers, technicians, corrective action coordinators or managers; supervisors, team leaders, and process operators; anyone who wants to improve their ability to solve recurring problems. Overview Learn how to initiate a root cause analysis and gather data for investigating process and non-process incidentsDemonstrate how to collect data through interviews and analysisApply powerful techniques to identify and know the difference between symptoms and root causesLearn to know when to use the appropriate technique in root cause identification Learn how to avoid future incidents by developing appropriate recommendations to address causal factors and root causes Develop a process to identify systemic problem areas In this course, participants will learn to apply several practical, systematic methods for analyzing incidents and problems to uncover root causes. Understanding of these techniques will be reinforced by classroom exercises. Introduction & Objectives What is a 'Problem?' Why Problems Persist What is A Root Cause? Why Root Causes are important How to Organize for an RCA RCA Roles and Responsibilities Assemble your RCA Team Modes of Communication How to Resolve Conflict Case Study Exercise Select the Problem to Analyze Define the selection criteria Plan and estimate tasks for the team Finalize the plan and gain agreement among your stakeholders Case Study Exercise Define the Problem What to look for - Problem-as-Given (PAG) vs. Problem-as-Understood (PAU) Developing your problem statement Refining the problem specification Case Study Exercise Identify the Source of the Problem Discuss when to use the appropriate analysis technique to determine the problem source Process Diagram Forms & Checklists Statistical Sampling Fishbone Diagram Surveys Charts - Line, Scatter, Bar, & Pie Case Study Exercise Solution Options Analysis & Selecting the 'Best Fit' How to approach different solution options Brainstorming Weighted Evaluation Selecting the appropriate option Hold an Retrospective on your approach Planning the proposal Case Study Exercise Putting RCA into Practice Create a Root Cause Analysis program within your organization How to develop appropriate recommendations to address root causes at various levels to avoid future incidents Additional course details: Nexus Humans BA10 - Understanding Root Cause Analysis 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 BA10 - Understanding Root Cause Analysis course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.