2676 Code courses delivered Online

This comprehensive, hands-on course empowers beginners with essential web development skills. From HTML, CSS, and JavaScript to GitHub and Bootstrap, master the tools of the trade. Learn to build, style, and deploy websites effortlessly. No prior knowledge of programming or web development is needed.

Legionella Responsible Person is suitable for any persons wanting to gain an understanding of Legionella and how to prevent or control the risk of exposure to Legionella bacteria.

Become a browser automation master with Selenium WebDriver, JavaScript, and Node.js

Learning and applying new techniques can often be a daunting experience. This course helps you out with 100+ tips and tricks on Stata with each video designed to be stand-alone and taking no more than 2 minutes. If you want to learn more about Stata but don't have a lot of time, this is the course for you!

Empower your school with inclusive practices for SEND. This course covers understanding SEND, the Code of Practice, safeguarding, and creating an accessible learning environment, ensuring every child’s needs are met. Ideal for educators and administrators in both domestic and international schools.

Learn Python OOP language used diversely in applications like data science, game/web development, machine learning, and AI. This course provides all you need to master OOPs like classes, objects, data abstraction, methods, overloading, and inheritance. The course primarily aims to help you tackle complex programming and use OOP paradigms efficiently.

This course will help you become familiar with the process of building web applications in Python. From understanding Python fundamentals, to studying the database structure to building, and deploying applications, you will learn it all with the help of interesting activities

Ever wondered about the events that shaped the world as we know it today? Passionate about exploring the past to make a difference in the future? Our A-Level History course plunges you into a fascinating journey through time, allowing you to grasp the complex interplay of social, cultural, religious, and ethnic diversity in both British and international history. As you progress, you will gain a profound understanding of evolving perspectives and their connections over time. This prestigious A-Level History course not only broadens your understanding of the world but also enriches your vocabulary with historical terms and concepts, fostering reflective thinking and critical analysis skills. Recognised as a symbol of notable accomplishment, A-Level History is esteemed by all universities and employers, paving numerous career paths. The A-Levels are, undeniably, the UK's educational gold standard. Our course adheres to the latest AQA A-Level History syllabus, uniquely designed for online self-study at your own pace. Unlimited tutor support, a straightforward induction, and comprehensively structured assignments are at your disposal, guiding you in acquiring the requisite skills and knowledge for the examination. Plus, guaranteed access to one of our UK exam centres is a given, should you opt to sit your final A-Level exams here. Benefits Include: A contemporary course, aligned with the latest specifications, offering dynamic and engaging content. Fast track option available for exams in 2022. Access to a network of partnership exam centres (guaranteed exam venue). Unlimited tutor support to assist in creating a study plan and provide support throughout your journey. Exam pass guarantee: If unsuccessful at first, we offer free support for your next attempt. In essence, A-Level History illuminates the social, cultural, religious and ethnic diversity prevalent in both British and non-British History. Awarding body specifics: Awarding Body: AQA Our Course Code: X913 Qualification Code: 7042 Globally recognised and taught in 30 countries, AQA qualifications are highly esteemed by employers and universities. These qualifications cater to diverse abilities and include GCSEs, IGCSEs, and A-Levels, propelling students to the next phase of their lives. ⏱ Study Hours Allocate between 250 and 300 hours for study, plus additional time for assignment completion. 👩‍🏫 Study Method Our online learning platform delivers this course, offering a lively and engaging experience with diverse learning resources like videos, quizzes, and interactive activities. Printable learning materials are available if preferred. 📆 Course Duration This course extends over a period of up to 24 months from enrolment. Access to learning materials is provided via our MyOxbridge portal upon receiving your login details. 📋 Assessment Enrolments are now open for Summer 2022 examinations. You will undertake two standard A-Level written exams, and one piece of coursework: Exam 1: 2 hours 30 minutes, 40% of A-Level, 80 marks. Exam 2: 2 hours 30 minutes, 40% of A-Level, 80 marks. Non-exam assessment (coursework): 3500–4500 words, 20% of A-Level, 40 marks. The exams incorporate questions associated with provided primary sources and sources pertinent to the period under study. The coursework is a personal study based on a topic of your choosing, to be completed in your own time. Marking of coursework is conducted by a tutor and moderated by AQA. Our guarantee extends to providing an exam space in one of our UK exam centres. A reassessment offer stands if you do not pass the first time, with our support for your next exams free of charge. Assignments Throughout the course, you are required to complete several assignments. Although these do not contribute towards your final grade, they provide opportunities for tutor feedback and marking, assisting in monitoring progress and predicting grades when needed. Non-exam assessment (NEA) The NEA is coursework of 3500–4500 words, constituting 20% of the A-Level and 40 marks. This coursework is done during your learning and sent to your exam centre for marking. Further details are provided post-enrolment. 👩‍🎓 Course Outcomes On successful completion, you will receive an A-Level in History, issued by AQA, identical to that provided to students at any other school, college, or university. Oxbridge has chosen this syllabus (7042) as it is best suited to online learning and offers the highest likelihood of success. ℹ️ Additional Information Difficulty - Level 3 Entry Requirements - A GCSE or equivalent in History is recommended for this course. UCAS Points - 56 Course Content Component 1: Breadth Study – Explore the 'Making of a Superpower: USA, 1865-1975' while examining historical interpretations of significant events over an extended period. This unit enables you to develop an understanding of causes, consequences, change, continuity, and differences over time, along with the connections between political, economic, social, and religious perspectives. Component 2: Depth Study – Delve into 'The Wars of the Roses, 1450-1499' as you evaluate historical change from various perspectives and gain detailed insights into the roles of individuals, groups, ideas, and ideologies across different time periods. Component 3: Historical Investigation – This component allows you to choose a specific issue, theme, or development to investigate in-depth. The focus of your study could relate to international, national, or local developments, or concentrate on a specific historical perspective of cultural, social, or technological changes. This unit aims to enhance your understanding of history as a discipline and hone your skills in presenting information and formulating ideas.

Building a parser is one of the early steps of designing a compiler. And to build a parser, it is important to learn about the different parsing techniques and how they work. In this course, we are going to learn just that.

Python Machine Learning algorithms can derive trends (learn) from data and make predictions on data by extrapolating on existing trends. Companies can take advantage of this to gain insights and ultimately improve business. Using Python Machine Learning scikit-learn, practice how to use Python Machine Learning algorithms to perform predictions on data. Learn the below listed algorithms, a small collection of available Python Machine Learning algorithms.