463 Code courses in London delivered Live Online

£ 12.50 per session A series of hourly small group sessions where we look at different aspects of Word Alternatively, we can do you one-to-one sessions, either via virtual classroom or in person at our training course. These are £30 per hour, or £125 for 5-hour blocks.

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. Overview After completing this course delegates will be capable of writing effective R code to manipulate, analyse and visualise data to enable their organisations make better, data-driven decisions. This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualisation in R. Course Outline Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. The R programming language is one of the most powerful and flexible tools in the data analytics toolkit. This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualisation in R. Mastery of these techniques will allow delegates to immediately add value in their work place by extracting valuable insight from company data to allow better, data-driven decisions. The course will explore the following topics through a series of interactive workshop sessions: What is R? Basic R programming conventions Data structures in R Accessing data in R Descriptive statistics in R Statistical analysis in R Data manipulation in R Data visualisation in R Additional course details: Nexus Humans Beginning Data Analytics With R 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 Beginning Data Analytics With R 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.

This module aims to develop knowledge and understanding of the importance of customs documentation in the world of international trade to ensure both parties clearly understand the documentation that will be required in the import or export of goods or services.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create data-driven applications. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution. Python© continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Lesson 2: Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Lesson 3: Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Lesson 4: Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Lesson 5: Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Lesson 6: Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Lesson 7: Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Lesson 8: Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create data-driven applications. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution. Python continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Lesson 2: Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Lesson 3: Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Lesson 4: Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Lesson 5: Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Lesson 6: Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Lesson 7: Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Lesson 8: Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files

Refactor Javascript Course Overview This Refactor JavaScript course provides learners with essential techniques to improve and optimise their existing JavaScript code. Focusing on enhancing code readability, maintainability, and performance, the course guides learners through identifying common code issues and applying structured improvements. By mastering refactoring principles, participants will be able to transform complex, inefficient scripts into clean, modular, and scalable solutions. The course is designed to boost problem-solving abilities and coding discipline, preparing learners to write more efficient and professional JavaScript. This knowledge is vital for developers aiming to improve legacy codebases or enhance collaboration within development teams. Course Description This course covers core refactoring concepts specific to JavaScript, starting with recognising problematic code patterns known as code smells. Learners will explore techniques for refining code elements such as functions, variables, and classes, followed by strategies to reorganise overall code structure for improved clarity and performance. The content emphasises systematic approaches to restructuring code without changing its external behaviour, helping participants understand best practices and coding standards. Through detailed explanations and examples, learners will gain confidence in evaluating and improving existing JavaScript projects. The course aims to develop skills crucial for maintaining high-quality software and supporting ongoing development in dynamic environments. Refactor Javascript Curriculum: Module 01: Introduction Module 02: Code Smells Module 03: Code Elements Refactoring Module 04: Code Structure Refactoring Module 05: Conclusion (See full curriculum) Who is this course for? Individuals seeking to enhance their JavaScript coding quality. Professionals aiming to advance their software development skills. Beginners with an interest in JavaScript programming and software design. Developers involved in maintaining or improving existing codebases. Career Path Front-End Developer Full-Stack Developer Software Engineer JavaScript Developer Web Application Developer

Introduction to Diabetes (2-Day Course) - Norfolk ICB OnlyThis course is for those from the Norfolk ICB only using the unique booking code. Applicants not using this code nor Identifying themselves as Norfolk ICB employees will not be able to attend.Course Description:These two days of comprehensive training are designed for nurses, nurse associates, pharmacists, paramedics, and other Allied Healthcare Professionals (AHPs), and experienced healthcare assistants (HCAs) who are new to or fairly new to the field of diabetes care. If you've recently started seeing patients with diabetes, or are planning to; this course is tailored to provide you with the fundamental knowledge and skills required to confidently care for individuals with diabetes. The primary focus is on adults with Type 2 diabetes, although key recommendations and signposting for patients with Type 1 diabetes will also be covered.Diabetes presents a significant healthcare challenge, costing the NHS £10 billion each year and impacting patients and their families. Primary care professionals play a pivotal role in managing the ever-increasing numbers of people diagnosed with Type 2 diabetes. Good diabetes care is crucial and aligns with national and local policies supported by robust NICE guidance.These interactive days of learning will incorporate various methods, including case studies, to help you progress from basic knowledge to a more confident and positive approach in reviewing and managing patients with diabetes. 2 Day Introduction to diabetes management in primary care (This is intended to provide an overview the programme may change slightly) DAY ONE 09.15 Coffee and registration 09.30 Introduction and course objectives 09.45 Setting the scene - screening, diagnosis, prediabetes, patho-physiology and symptoms, remission in Type 2 diabetes 10.45 Coffee 11.00 Type 1 Vs Type 2 Diabetes 11.20 Metabolic Syndrome and Diagnostic Criteria 11.45 Diabetes Prevention Programme 12.15 Managing Diabetes in Primary Care and Supporting Lifestyle 12.30 Lunch 13.30 Pharmacological Management of Type 2 Diabetes 14.30 Methods for Monitoring Glucose 14.45 Diabetic Emergencies (hypos, HHS and DKA) 15.15 Sick Day Rules 15.30 Action plan, evaluation, and resources 15.45 Close DAY TWO 09.15 Coffee and registration 09.30 Review progress since Day 1 09.45 Macrovascular Complications 10.15 Modifiable Risk Factors leading to CVD 11.00 Coffee 11.20 Cholesterol & Hypertension Management 12.00 Microvascular Complications 12.30 Lunch 13.30 Diabetes and Emotional Wellbeing 14.30 Case Studies 15.30 Q&A, Evaluations 15.45 CloseKey Learning Outcomes for Both Days:Upon completing this course, participants will be able to:1. Explain the physiology of diabetes and differentiate between Type 1 and Type 2 diabetes.2. Discuss methods for diagnosing diabetes and provide information to individuals newly diagnosed with Type 2 diabetes.3. Describe approaches that support achieving remission in Type 2 diabetes.4. Explain basic advice related to a healthy diet, various dietary approaches, and carbohydrate awareness.5. Discuss the modes of action of commonly used non-insulin medications.6. Identify major complications that may arise in individuals with long-standing diabetes and measures to limit or prevent them.7. Describe key advice for patients regarding the recognition and appropriate treatment of hypoglycaemia.8. Discuss DVLA guidance concerning driving and diabetes.9. Explain the risks of acute hyperglycaemia and provide advice to patients on self-managing illness periods.10. Provide examples of referral pathways to other services such as weight management, secondary care, podiatry, structured education, activity, and psychological services.11. Describe the process of routine foot review and factors influencing diabetic foot risk status.12. Discuss local recommendations for the appropriate use of blood glucose and ketone monitoring.13. Explain the key components and processes of an annual diabetes review and a self-management plan.Join us for this comprehensive 2-day course via Zoom and enhance your ability to provide effective diabetes care within primary care settings.

Duration 4 Days 24 CPD hours This course is intended for If you want to advance from being a front-end developer to a full-stack developer and learn how Node.js can be used for hosting full-stack applications, this course is for you. Knowledge of JavaScript's basic syntax and experience with popular front-end libraries such as jQuery is required. You should also have used JavaScript with HTML and CSS, but not necessarily Node.js. Overview By the end of this course, you'll have the skills you need to tackle any real-world JavaScript development problem using a modern JavaScript approach, both for client and server sides.After completing this course, you will be able to: Apply the core concepts of functional programming Build a Node.js project that uses the Express.js library to host an API Create unit tests for a Node.js project to validate it Use the Cheerio library with Node.js to create a basic web scraper Develop a React interface to build processing flows Use callbacks as a basic way to bring control back This is your one-stop solution to mastering modern JavaScript. This course covers the latest features of JavaScript and advanced concepts, such as modularity, testing, and asynchronous programming. By the end of the course, you?ll know how to create a full-stack JavaScript application using NodeJS and how to use JavaScript in functional programming. JavaScript, HTML, and the DOM HTML and the DOM Developer Tools Node.js and npm What is Node.js? Node Version Manager (nvm) Node Package Manager (npm) Node.js APIs and Web Scraping Globals FileSystem APIs HTTP APIs What is Scraping? RESTful APIs with Node.js What is an API? What is REST? Useful Defaults and Easy Inputs Middleware The Contents of a JWT MongoDB Modular JavaScript ES6 Modules Object-Oriented Programming (OOP) npm Package? Code Quality Clear Naming Unit Tests Integration Tests End-to-End Testing Puppeteer Advanced JavaScript Language Features Supported in ES5, ES6, ES7, ES8, and ES9 OOP in JavaScript Sorting Maps and Sets Math, Date, and String Symbols, Iterators, Generators, and Proxies Asynchronous Programming Callback Hell Async and Await Event-Driven Programming and Built-In Modules Eventing Node.js Built-In Modules Handling Large Files in Node.js Functional Programming with JavaScript Functions ? First-Class Citizens Pure Functions Higher-Order Functions Function Composition Immutability and Side Effects Introduction to GraphQL Language Schemas and Queries

Duration 2 Days 12 CPD hours This course is intended for This course is most valuable for individuals who have been given responsibilities to create or maintain a website. It will also be valuable for new web designers, web developers, and graphic artists who want to extend their skills in creating complete websites. Learning how to use Dreamweaver CC will enable the practitioner to create web pages and sites in the most efficient manner. This course can also be used to help prepare students to take the Adobe Certified Associate (ACA) exam. Overview Upon successful completion of this course, you will be able to develop interactive and engaging websites that are compatible with multiple display devices. You will: ?Identify website requirements.?Create layouts.?Format web pages.?Create forms.?Integrate media files with Dreamweaver.?Manage website files. In this course, you will use Adobe Dreamweaver CC to create fluid CSS layouts, implement mobile integration techniques, and share files over a server to work in a collaborative manner. Identifying Website Requirements Examine Website Design Considerations Examine Website Performance Parameters Creating Layouts Create a Fluid Layout Manage a Layout by Using CSS Formatting Web Pages Format Content in Code View Apply Advanced CSS Tools Add Behaviors Manage Links and Files Creating Forms Add a Form Container and Elements Validate a Form Integrating Media Files with Dreamweaver Integrate Photoshop Files in Dreamweaver Insert Video, Audio, and Mobile Files Implement PhoneGap Integration Managing Website Files Preview and Test a Website Share Website Files with Other Users Synchronize Website Files Additional course details: Nexus Humans Adobe Dreamweaver CC - Part 2 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 Adobe Dreamweaver CC - Part 2 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 5 Days 30 CPD hours This course is intended for This class is targeted towards the professional developer new to HTML, self-taught HTML developers, graphics designers and those new to HTML development. Overview After completing this course, you will be able to: Create HTML5 compliant web pages. Test and validate HTML and CSS code. Create CSS for style pages. Work with experimental vendor prefixes. Work with fonts and CSS font effects. Work with color and color tools. Layout pages and content using DIVs, iFrames and Tables. Add and format images and CSS sprites. Create HTML5 forms. Embed and manage video and audio content. This course is an in-depth hands-on study of HTML5, CSS3 and modern web and mobile development. The course includes detailed hands-on labs and Q&A labs. The labs include multiple projects, including one beginning to end web site.This material updates and replaces course Microsoft course 20480 which was previously published under the title Programming in HTML5 with JavaScript and CSS3. Module 1: A Brief History of HTML and the Web Welcome! History Details, Details, Details? The Life of a Web Page HTTP Status Codes Definitions Most Important Things to Know as a Web Developer Module 2: Core HTML Elements HTML and CSS Editors Text, Spaces and Tabs Working with Tags Attributes Comments Non-Standard Tags Every Page Includes? File Extensions Core Page Elements Nesting Testing HTML HTML and Text Module 3: Cascading Style Sheets Before CSS With CSS Cascading Style Sheets (CSS) Adding CSS to a Page Order of CSS Processing Experimental Vendor Prefixes CSS Units The CSS Box Mode Module 4: Fonts and Text Fonts CSS for Text CSS Text Ticks! Working with Lists Upgrading and to Windows 7 Module 5: Colors and Backgrounds Specifying Colors Applying Colors Gradients Module 6: Anchors and Hyperlinks HTML and CSS Hyperlinks with Images and Other Objects Buttons Module 7: Page Layout Page Layout Options Tables for Data DIVs Float SPAN HTML 5 DIV-like Tags IFRAMES Module 8: Images Favicon Preparing Images Image Files The IMG Tag Background Images Image Best Practices CSS Sprites Module 9: HTML Forms A Basic Form POST vs. GET name vs. id Basic Form Elements Basic Form Attribute Select Uploading Files HTML 5 Form Enhancements DataList Module 10: Multimedia Video and Audio HTML 5 Video CSS JavaScript Audio Hosting Videos in the Cloud Working with Animated GIFs