Practical MySQL Course Intermediate, to leave you fully conversant with queries, DML and DDL statements. Hands-on, Practical MySQL Course Intermediate. PCWorkshops MySQL Course Intermediate Certificate. Max 4 people per course, we keep it personalised.
Live online course with study materials and certificate of completion included This HTML course will provide you with an easy to follow, hands-on introduction to HTML and CSS, the basic coding languages which drive the internet. Participants will learn how to create an attractive and well-structured web page using basic HTML and CSS. This workshop is highly recommended for anyone wishing to learn how to create websites and also for people who already use applications such as Dreamweaver or WordPress and need more control over their web output. Resources Introduction to HTML & CSS Course Information Description Completing this course will enable you to do the following and more: Understand what HTML and CSS are and how they work together Learn basic HTML elements Learn how to create hyperlinks Work with images Use DIVs, forms and lists to arrange content Create page structure Use Cascading Style Sheets to control the layout and look of HTML elements Use Developer Tools to preview CSS changes Know how and when to use Inline CSS Create code that is both readable, compliant with HTML5 standards Understand what makes good SEO For the full course content please download the course information pdf listed above. Who is this course for? This workshop is suitable for anyone with basic PC or Mac skills who wants to understand how the web works. No previous knowledge or experience of HTML or CSS is necessary. Requirements Attendees should have basic PC or Mac skills. You will need a broadband internet connection to participate in this live online course. Certificates Certificate of completion Digital certificate - Included
Introduction to Coding With HTML, CSS, & Javascript Course Overview "Introduction to Coding With HTML, CSS, & JavaScript" is a comprehensive course designed to equip learners with the foundational knowledge of web development. The course covers the essential programming languages – HTML, CSS, and JavaScript – focusing on creating interactive and responsive websites. Learners will gain proficiency in designing websites from scratch, using HTML for structure, CSS for styling, and JavaScript for adding dynamic features. By the end of the course, learners will have a well-rounded understanding of how to create websites that are functional, visually appealing, and user-friendly, preparing them for real-world web development tasks. Course Description This course takes learners through a structured journey in web development, starting with the basics and gradually advancing to more complex topics. The modules cover HTML from beginner to expert levels, CSS fundamentals to advanced styling techniques, and an in-depth exploration of JavaScript. The course includes practical projects that reinforce key concepts, such as building a website using HTML and CSS and incorporating JavaScript to enhance interactivity. Learners will also explore essential programming topics like functions, conditional statements, data visualisation, and client-side validation. By completing this course, learners will develop a solid foundation in web development, enabling them to create fully functional websites. Introduction to Coding With HTML, CSS, & Javascript Curriculum Module 01: Getting Started Module 02: Setting up Development Environment Module 03: HTML Fundamentals Module 04: HTML Intermediate Module 05: HTML Advanced Module 06: HTML Expert Module 07: HTML Website Project Module 08: CSS Fundamentals Module 09: CSS Intermediate Module 10: CSS Advanced Module 11: CSS Expert Module 12: CSS Website Project Module 13: JavaScript Getting Started Module 14: JavaScript Fundamentals Module 15: Strings Module 16: Operators Module 17: Conditional Statements Module 18: Control Flow Statements Module 19: Functions Module 20: Data Visualisation (Google Charts) Module 21: Error Handling Module 22: Client-side Validations Module 23: Publish Your Website for Live (See full curriculum) Who is this course for? Individuals seeking to build a career in web development. Professionals aiming to expand their technical skills in web programming. Beginners with an interest in learning web development. Anyone looking to design and develop their own websites. Career Path Front-end Developer Web Developer UI/UX Designer Web Development Specialist Digital Marketing Specialist Freelance Web Developer Web Designer
This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds
OVERVIEW Prerequisites—DIAD training or equivalent working experience This one-day course will cover using Power BI Desktop to import and shape data from a variety of sources. It will also walk through Power BI capabilities you can use to enhance the data model for your business users. The course covers key aspects of how to create a great data model to meet your business needs, various features in Power BI used to enhance data models so you can build great reports, and an introduction to DAX to create calculations. After completing this training, the attendees should be able to import data from a variety of data sources into Power BI, shape the data, create the data model, and write DAX functions to the Power BI model. COURSE BENEFITS: Understand the Power BI Desktop data model, its components and most effective schemas Describe concepts of calculated columns and measures Create queries using M Create calculations with DAX Understand the use of functions Create and optimize a data model Understand the consequences of data model design decisions WHO IS THE COURSE FOR? Power BI report developers who wish to improve the structure of their data models Power BI report developers who wish to use advanced features like parameters and M coding in Power Query Power BI practitioners who wish to optimise their models more effectively Attendees wishing to prepare thoroughly for the DAX In A Day course COURSE OUTLINE Module 1 Getting And Shaping The Data Understand what is meant by data model in the context of Power BI Understand the consequences of data model design decisions Understand consequences of Power BI’s data type handling Understand data connection options Module 2 Basic Data Modelling Understand basic data modelling Understand basic data model types Explore dimension tables and fact tables Explore data connections Module 3 Getting Started With M (Power Query Language) Get introduced to M Understand key components and syntax Module 4 Understanding Logic Operators Understand Transformations Understand Join operation Module 5 Introduction To DAX Get introduced to DAX and how can it be used Understand working with parameters and DAX (lab combining the previous module) Module 6 Working With Functions - DAX CALCULATE And More Understand working with functions Understand the basics of the CALCULATE formula Module 7 Modelling With Power BI & DAX Best Practice Gain familiarity with basic data modelling for business scenarios Learn some best practices for working with Power BI
Course description Figma is an industry leading web-based design tool that allows you to create user interfaces for any screen type or size, collaborate on those designs in real-time and build interactive prototypes suitable for user testing. Figma is a visual design tool so there’s no coding involved. Design is achieved by adding, combining and styling shapes, text and images on a canvas or ‘Frame’. We run 2 consecutive Figma training days, the second day building on the practical activities from the first. You can attend just the first day. Attending just the second day is only recommended if you’re already very comfortable with the Figma interface. Day 1: Basic Figma design and collaboration For beginners with no prior experience with Figma who want to understand the basics, be able to create their own designs, share, collaborate and even iterate on the designs of others. You will learn: How to navigate the Figma interface. How to create your own designs by: Setting up a design file. Setting up the screen type you want to design and add grids and guides. Adding and modifying basic shapes and text to create user interface elements. How to save text and colour styles for reuse. How to create reusable components. How to use the ‘auto layout’ feature to promote tidy, consistent and usable design. How to collaborate on designs by sharing screens and commenting on designs. A brief introduction to prototyping: What’s possible. What’s not. Day 2: Component variants, design systems and prototyping This session will cover the more sophisticated aspects of Figma use such as: How to use component variants to create: Interaction styles such as hover and mouse down states ‘Flavours’ of a widget such as primary and secondary button styles. Toggleable elements within a widget such as buttons or bullets within a product card. How to turn a collection of components into a basic design system. Prototyping fundamentals: How to make journeys clickable. How to introduce animations. Tips and tricks for effective user testing. The limitations of Figma prototyping Is it for you? With no experience of Figma necessary, this course is suitable if: If you’re involved with creating or curating digital experiences. if you want to turn your design ideas into something tangible. If you work with Figma designers and want to understand the ‘art of the possible’. If you want to collaborate with your team on Figma projects. Learning objectives After completing day 1 you will be able to: Understand the Figma user interface. Create mobile and desktop interface designs. Effectively collaborate remotely. Share designs and gather feedback. Use auto layout to promote consistent and usable designs. Understand Figma’s role in user experience design, and its limitations. After day 2 you will be able to: Understand how design systems are set up and used. Create component variants for use in your own design system. Use that design system to efficiently create a user journey. Create a prototype suitable for user testing.
Maximize the value of data assets in the oil and gas sector with EnergyEdge's assessment-based training course on Python programming and analytics.
Duration 3 Days 18 CPD hours Discover and explore how to use the fundamental building blocks of the Swift programming language. class will teach you the basic concepts of Swift programming, including syntax, logic, structures, functions, and patterns. It also includes detailed explanations of language syntax and coding exercises. Introduction to Swift Constants, Variables, and Data TypesOperatorsControl FlowStrings & FunctionsStructures & ClassesOptionalsCollectionsLoopsType CastingGuard StatementsScope & EnumerationsProtocolsClosuresExtensions
Historical Association webinar series: Making GCSE history accessible: supporting all learners at Key Stage 4 Presenters: Dale Banham "This session explores how to help SEND learners retain historical knowledge by applying research-informed strategies that reduce cognitive overload and support long-term memory formation within the context of history teaching. Key topics: • Applying cognitive load theory to history-specific content and tasks • Using dual coding, retrieval practice, and spaced learning frameworks to support retention • Embedding effective homework, revision routines and explicit instruction to strengthen pupils’ historical schema " To use your corporate recording offer on this webinar please fill in this form: https://forms.office.com/e/bdNUSwLNrL Image: A Squire "Old English" padlock on a gate latch in Devon (Image: Partonez/Wikimedia Commons)