978 Python courses in Leicester delivered Online

Do you want to create outstanding apps with SwiftUI? Moreover, are you eager to build up your professional portfolio and show up in your next job interview with confidence? This complete iOS application development course is designed to teach you how to become an advanced multiplatform app developer using Apple's native user interface framework: SwiftUI.

Duration 3 Days 18 CPD hours This course is intended for Before taking this course delegates should already be familiar with basic analytics techniques, comfortable with basic data manipulation tools such as spreadsheets and databases and already familiar with at least one programming language Overview This course teaches delegates who are already familiar with analytics techniques and at least one programming language how to effectively use the programming language for three tasks: data manipulation and preparation, statistical analysis and advanced analytics (including predictive modelling and segmentation). 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. Outcomes: After completing the course, delegates will be capable of writing production-ready R code to perform advanced analytics tasks enabling their organisations make better, data-driven decisions. 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. Topic 1 Intro to our chosen language Topic 2 Basic programming conventions Topic 3 Data structures Topic 4 Accessing data Topic 5 Descriptive statistics Topic 6 Data visualisation Topic 7 Statistical analysis Topic 8 Advanced data manipulation Topic 9 Advanced analytics ? predictive modelling Topic 10 Advanced analytics ? segmentation

Machine learning isn’t just for self-driving cars and game-playing robots—it’s also helping identify whether someone’s wearing a mask or not. This course takes you through the full project lifecycle of building a Covid Mask Detector, using one of the most relevant applications of computer vision in recent years. Whether you're a data enthusiast or a coding hobbyist, you’ll enjoy diving into this machine learning challenge with a purpose that’s easy to relate to and timely. With clear, structured guidance, you'll explore how to prepare image data, train a neural network, and apply detection techniques—all from the comfort of your own screen. The content is delivered with clarity and a dash of wit, making the learning journey not just informative, but surprisingly enjoyable. You’ll walk away with confidence in building a full machine learning project, specifically tailored for image classification, and yes—taught in plain, human English (no jargon jungle here). Whether you're brushing up your Python skills or simply curious how AI spots face masks, this course offers an insightful experience in smart automation, delivered with a professional tone and just enough character to keep you grinning as you code. Learning Outcomes: Develop a Covid mask detector using machine learning. Master OpenCV, a popular computer vision library. Build models with TensorFlow. Design and build the app, upload files, and deploy it on AWS. Gain valuable experience in machine learning app development. The Hands-on Machine Learning Project - Covid Mask Detector course is designed to provide you with the skills and knowledge needed to develop a mask detector using deep learning. In this course, you'll learn how to master OpenCV, an open-source computer vision library used for image processing and face detection. You'll also learn how to build and train a deep learning model using Tensorflow, a popular machine learning framework. The course is perfect for aspiring data scientists, machine learning engineers, and developers who want to make a positive impact on society by contributing to public health and safety efforts. By the end of this course, you'll have a deep understanding of how to develop a mask detector app that can be used to detect whether individuals are wearing masks in public spaces. You'll be able to master OpenCV and use it to preprocess and detect faces in images. You'll also learn how to build and train a deep learning model using TensorFlow and how to deploy your mask detector app on AWS. This course provides a unique opportunity for individuals to gain real-world experience in developing cutting-edge technology that can make a positive impact on society. Hands on Machine Learning Project - Covid Mask Detector Course Curriculum Section 01: Introduction Introduction to Course Section 02: Mastering OpenCV Getting System Ready Read and Write Images Resize and Crop Working with Shapes Working with Text Section 03: Pre-Requisite for Face Detection Pre-Requisite for Face Detection Detect the Face Section 04: Deep Learning with Tensorflow Introduction to Deep Learning with Tensorflow Model Building Training the Mask Detector Saving the Best Model Basic Front End Design of App File Upload Interface for App App Prep App Build and Testing AWS Deployment AWS Deployment Continued How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring data scientists. Machine learning engineers. Developers interested in machine learning app development. Anyone interested in developing technology to fight the pandemic. Professionals looking to upskill in the latest technology. Career path Data Scientist: £40,000 to £80,000 per year. Machine Learning Engineer: £55,000 to £90,000 per year. Artificial Intelligence Developer: £40,000 to £80,000 per year. Computer Vision Engineer: £40,000 to £80,000 per year. Deep Learning Engineer: £55,000 to £90,000 per year. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9.

Unlock the power of data with our Basic Data Analysis Course. Learn essential techniques to interpret and draw insights from raw information. Enroll now to kickstart your data analysis journey and make informed decisions in any field.

This second-edition JavaScript course covers fundamental concepts, including variables, data types, functions, and control flow, as well as advanced topics such as object-oriented programming, modules, and testing. With practical projects and clear explanations, learners can gain a solid understanding of the language and develop their skills.

Unlock the power of coding with our all-inclusive Ruby course. Whether you're starting from scratch or elevating your programming skills, this course is tailored for a seamless learning curve in Ruby 3.2.

You will not only learn a few lines of code in this course but will also understand the principles of programming. Learn the fundamentals of JavaScript with the latest JavaScript versions (ES6/ES7/ES8/ES9/ES10/ESNext) and you will be well on your way to being a Grandmaster programmer in any language.

With the rise of machine learning applications in recent years, demand for python programmers continues to grow correspondingly.