2694 Code courses delivered Online

Current legislation set out by the Health and Safety at Work Act along with the HSE’s updated code of practice known as L8, state that companies and building owners have a legal duty to manage Legionella. Our interactive training course is aimed at all employers and staff to assist them in identifying the danger that Legionella poses, as well as covering ways to identify and assess sources of risk from Legionella on the premises. It also gives you enough knowledge to get a Legionella control programme off the ground yourself – or make confident, informed choices when commissioning others to take this on for you.

Is this course for you? Looking to upgrade your React 17 applications to React 18? Are you working with React already? Then sooner or later, you will need to upgrade to React 18. New to React and curious to know how React is different from libraries such as Vue? This course will explain the importance of concurrent rendering to you. A beginner-friendly course in React.

This course is for absolute beginners to programming. In this course, you'll learn the foundation of programming and build your skill to become a Rust programmer. We'll start by building the Rust programming foundation and then implement our learning in a simple Rust project. No previous programming experience required.

Explore using JavaScript XHR and fetch to connect to multiple web API endpoints retrieve JSON data and update HTML

In this self-paced course, you will learn how to use TensorFlow 2 to build recurrent neural networks (RNNs). You will learn about sequence data, forecasting, Elman Unit, GRU, and LSTM. You will also learn how to work with image classification and how to get stock return predictions using LSTMs. We will also cover Natural Language Processing (NLP) and learn about text preprocessing and classification.

Use deep learning, Computer Vision, and machine learning techniques to build an autonomous car with Python

A comprehensive, simple, visual guide and a super-easy course using SAS with no installation on your computer necessary. This course uses the latest SAS Studio offered through SAS OnDemand and it's completely free. 12+ hours of knowledge-packed lectures, videos, quiz questions, followed by two practical and hands-on guided exercises and projects.

Register on the Refactor Javascript today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Refactor Javascript is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Refactor Javascript Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Refactor Javascript, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.  Course Content Refactor Javascript Unit 01: Introduction Module 01: Introduction 00:05:00 Unit 02: Code Smells Module 01: Introduction 00:02:00 Module 02: General Code Smells 00:06:00 Module 03: Kill All the Global Data 00:05:00 Module 04: Long Functions && Long Classes 00:07:00 Module 05: Long Parameters List 00:05:00 Module 06: Side Effect 00:04:00 Module 07: Feature Envy 00:04:00 Module 08: Divergent Change AND Shotgun Surgery 00:06:00 Unit 03: Code Elements Refactoring Module 01: Introduction 00:02:00 Module 02: Be the code minimalist 00:06:00 Module 02: Be the code minimalist 00:06:00 Module 04: Refactoring conditionals 00:06:00 Module 05: Refactoring loops 00:11:00 Module 06: Refactoring functions 1 00:11:00 Module 07: Refactoring functions 2 00:06:00 Unit 04: Code Structure Refactoring Module 01: Introduction 00:02:00 Module 02: Error handling 00:13:00 Module 03: Structuring the code 00:07:00 Module 04: Refactoring Tools 00:22:00 Module 05: Eslint Demo 00:17:00 Unit 05: Conclusion Module 01: Conclusion 00:01:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

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

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