11802 Courses in Cardiff delivered Online

An exciting 10-week course to build your Spanish skills from scratch. Practical applications for travel & conversation. Enlarge your vocabulary, improve your grammar in a pain-free, step-by-step way, working with a tutor with 10+ years' experience & a small group of learners.

Are you captivated by the celestial tapestry of the night sky? Do you marvel at the cosmic dance of the stars or yearn to decode the enigma of the Big Bang? Our Astronomy GCSE course, tailored for self-paced learning, could be your perfect stargazing companion. Under the steadfast guidance of a dedicated tutor, this course will take you on a virtual space voyage, studying the cosmic choreography of our galaxy's celestial bodies - from our home planet, the moon and the sun, to neighbouring planets, comets, and distant stars. Discover the dynamics that govern our planetary systems, leading to day-night and seasonal transitions. Journey through the annals of time to learn how historical observations of celestial patterns shaped our understanding of our cosmic address. Lastly, delve into current theories about the universe's evolution and their implications for humankind's future. The course not only cultivates scientific reasoning and problem-solving skills - valued by universities and employers - but also lays a solid foundation for a potential career in various scientific fields, including meteorology, and professions in planetariums, museums, and engineering. This course isn't just an introduction to astronomy; it's a launching pad to your future. This Edexcel GCSE Astronomy course has been crafted for convenient online study, providing unlimited access to your personal tutor via email and telephone. We ensure a clear course induction and meticulously structured assignments to help you excel in your exams. Our GCSE in Astronomy features: Freshly minted course, devised according to the latest specifications with dynamic, engaging content. A fast track option for exams in 2022. Access to our partnered exam centres for a guaranteed exam venue. Unlimited tutor support. Exam pass guarantee: if you don't succeed the first time, we'll assist you until the next exam. This course is a magnificent initiation into the awe-inspiring world of astronomy for stargazers and those mesmerised by the cosmic ballet.  About the awarding body Awarding body: Edexcel Our course code: X815 Qualification code: 1AS0 Official Qualification Title: Astronomy GCSE Edexcel, the UK's leading awarding organisation, provides academic and vocational qualifications in schools, colleges, and workplaces both domestically and internationally. For nearly two decades, Edexcel has empowered learners to achieve success through education. ⏱ Study Hours: Allocate between 120 and 150 hours for study, plus additional time for assignment completion. 👩‍🏫 Study Method: Our interactive online platform delivers the course, offering a variety of media including videos, quizzes, and interactive activities. If you prefer, you can print the learning materials. 📆 Course Duration: Post-enrolment, you have up to two years to study and take your exams, with continuous unlimited tutor support. 📋 Assessment: Enrolments are open now for exams from Summer 2022. You will need to complete two standard GCSE written exams, each of 1 hour 45 minutes, contributing 50% of the marks. We provide a guaranteed exam space in one of our country-wide exam centres. Throughout the course, you'll complete assignments for tutor feedback, helping you to monitor your progress. You will also complete two observational tasks: one unaided and one using a telescope. 👩‍🎓 Course Outcomes: Successful completion of this course will award you with a GCSE in Astronomy, issued by Edexcel. This syllabus is chosen for its compatibility with distance learning. ℹ️ Additional Information: Official Qualification Title - Astronomy GCSE Difficulty - Level 2 Entry requirements - No formal entry requirements. Ability to observe the night sky and a good grasp of maths are needed. Course Content: The course covers essential math skills for astronomy, celestial observations, exploration of planetary systems, the solar system, the moon, the Earth-moon-sun system, stellar evolution, cosmology, and our place in the galaxy, among others.

Level 5 QLS Endorsed Diploma | 150 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Design for persuasion is a powerful approach that is too often overlooked. Learn the principles that are critical in designing both engaging and usable experiences.

Learn how to establish deliberate and creative interactions that allow users to navigate a platform in the ways that makes sense to them.

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Heads up, aspiring business magnates!📣 If you have a knack for numbers, a budding enthusiasm for marketing, and envisage yourself spearheading a business or contributing significantly to an organisation's growth and success, then our AQA-accredited GCSE Business course is tailor-made for you.  Engage in six comprehensive modules with our course, exploring the intricacies of business operations and finance, problem-solving and decision making, qualitative and quantitative data analysis, and much more. Your individual tutor will provide unlimited assistance as you dive into understanding the factors influencing an organisation's operations, decision-making processes, and the usage of appropriate business terminology. The competencies you develop will be highly coveted by colleges, universities, and a plethora of professions including accounting, law, management consultancy, stockbroking, and human resources.  Designed for convenient online study at your pace, this AQA GCSE Business course provides unrestricted access to your personal tutor via email and telephone. The course induction and assignments are structured to nurture the skills and knowledge you need to thrive in your examinations. Expect: A newly minted course, crafted to the latest specification with engaging content Fast track available for this course (for exams in 2022) Access to our network of partner exam centres (guaranteed exam venue) Unlimited tutor support – personalised study plan and consistent support Exam pass guarantee (Don't pass the first time? We've got you covered for the next exam!) Immerse yourself in the dynamics of business operations, finance, problem-solving, and decision making, and data analysis! About the awarding body Awarding body: AQA Our course code: X807 Qualification code: 8132 Official Qualification Title: GCSE Business AQA qualifications are internationally acclaimed, taught in 30 countries worldwide, highly esteemed by employers and universities and designed to help young people advance to their next life stage.  ⏱ Study Hours Allocate between 120 and 150 hours for studying, plus extra time for assignments. 👩‍🏫 Study Method Delivered via our dynamic online learning platform, the course includes various media resources such as videos, quizzes, and interactive activities. 📆 Course Duration Upon enrolment, you'll have two years to study and take your exams, with continued unlimited tutor support. Access the learning materials via MyOxbridge, our online platform. 📋 Assessment Enrolments are now open for examinations from Summer 2022. You'll be required to complete two standard GCSE written exams. Guaranteed exam spaces are provided at our nationwide centres. During the course, you'll complete assignments for tutor feedback and monitoring your progress. 👩‍🎓 Course Outcomes Upon successful completion, you'll earn a GCSE in Business, issued by AQA, a syllabus (8132) selected specifically for its suitability for distance learning. ℹ️ Additional Information Official Qualification Title - GCSE Business Difficulty - Level 2 Entry requirements - Strong reading and writing English skills are highly recommended. Course Content Business in the real world Influences on business Business operations Human resources Marketing Finance Each module covers the core areas of business, equipping you with understanding of functions and sectors, technology and ethical implications, personnel management, market research strategies and financial calculations, respectively.  Unlock your potential in the business world with our GCSE Business Correspondence Programme! 🚀

If you’re looking to start a career in coding, but don’t know where to begin, this might be for you. This course is aimed at absolute beginners that have never done any coding before and are unsure of which programming language to focus on.

Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:17:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method.: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00

We are excited to announce the Online version of the Step by Step Course. It will include live demonstrations of the process that you will then follow. Unique opportunity to be guided step by step and experience meditative practice of icon painting.