490 Gold courses in Cardiff delivered Online

Complete C programming training course description A hands-on introduction to programming in the ANSI C programming language. The course initially moves at a fast pace in order to spend as much time as possible on the subject of pointers - the area which cause the most bugs in C programs. What will you learn Write ANSI C programs Use the C libraries Debug C programs Examine existing code and determine its function. Complete C programming training course details Who will benefit: Programmers wishing to learn C. Programmers wishing to learn C++ or Java. Prerequisites: None, although experience in another high level language would be useful. Duration 5 days Complete C programming training course contents Getting started The compilation process, comments, main(), statement blocks, printf(). C data types and operators char, int, float and double, qualifiers, arithmetic and assignment operators, precedence, Associativity. Basic I/O C libraries, stdin and stdout, getchar(), putchar(), printf() formatting. Flow control if else, dangling elses, else if, while and for loops. switch statements, the null statement, break, continue and gotos. Functions Function calls, arguments and return types, function declarations (prototypes), function definitions, scope of variables. The preprocessor Preprocessor actions, macros, #include. Libraries and their relationship with header files. Conditional compilation. More data types and operators Logical, bitwise and other operators, type conversion, casting, typedefs and access modifiers. Arrays Declaring and handling arrays, common gotchas, multidimensional arrays. Pointers What are pointers? Why they are so important, declaring and using pointers,The three uses of the *,pointer example - scanf, pointers as arguments. More pointers Golden rules of pointers and arrays, pointers to arrays, pointer arithmetic, arrays of pointers, multiple indirection. Character/string manipulation Arrays of characters, string definition, working with strings, String library. Program arguments argc and argv, example uses,char *argv[] versus char ** argv. Program structure and storage classes Globals (externals), multi source programs, the look of a C program. Structures Declaration, the . and - operators, unions and bitfields. Library functions File handling, fopen and fclose, reading from and writing to files, fseek().calloc() and malloc()

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 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 Essentials 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 Python for Data Analysis using NumPy 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 Python for Data Analysis using Pandas 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 Python for Data Visualization using matplotlib 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 Python for Data Visualization using Seaborn 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 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks 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) 00:37:00 Capstone Project - Python for Data Analysis & Visualization 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 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model 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 Python for Machine Learning - scikit-learn - Logistic Regression Model 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 Python for Machine Learning - scikit-learn - K Nearest Neighbors 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 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests 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 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) 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 Python for Machine Learning - scikit-learn - K Means Clustering 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 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) 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 Recommender Systems with Python - (Additional Topic) 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 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) 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 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Course Overview The Makeup Artist Training course offers a comprehensive introduction to makeup artistry, covering essential skills from sanitation and hygiene to advanced makeup techniques. Learners will explore colour theory, skin preparation, foundation matching, and eye makeup application, building a strong foundation for makeup artistry. This course is designed to provide students with the necessary knowledge and techniques to create a variety of looks, from natural everyday styles to glamorous evening makeup. By the end of the course, learners will be equipped with the skills to cater to different skin tones and facial features, enabling them to enter the makeup industry with confidence and expertise. Course Description This course delves deeper into the art of makeup, starting with the basics of sanitation, hygiene, and brush application. It guides learners through essential skills such as colour theory, foundation matching, and the application of concealer, highlighter, and contour. Participants will gain insights into creating diverse looks, including everyday eye makeup, smoky eyes, and makeup tailored for different skin tones and ethnicities. With a focus on client consultations and business management, this course also offers valuable insights into running a makeup artistry business. Whether aiming for a career as a professional makeup artist or refining personal makeup skills, learners will leave this course with a strong portfolio and confidence in their abilities. Course Modules Module 01: Introduction Module 02: Sanitation & Hygiene Module 03: Brushes Introduction & Application Module 04: Make Up Appointment & Preparations Module 05: Colour Theory & Colour Correcting Module 06: Skin Prep & Primers Module 07: Foundation Matching Module 08: Foundation: Different Coverages, Textures & Finishes Module 09: Foundation Application Module 10: Concealer Application Module 11: Highlight & Contour Module 12: Blush Application Module 13: Eye Make Up: Everyday Eye Makeup Look Module 14: Eyeliner Application Module 15: Mascara Application Module 16: False Lashes Module 17: Eyebrow Application Module 18: Lip Product Application Module 19: Clients Consultation & How to Manage Your Business Module 20: Apply Your Skills & Level Up: Welcome to the Master Make Up Class Section Module 21: Day to Evening Make Up Look on Dark Complexions Module 22: Glamorous Make Up Look on Asian Model Module 23: Golden Brown Half Cut Crease Eye Make Up Look on a Fair Model Module 24: Makeup on South Asian Model Module 25: Day to Evening Make Up on South European Model with Tanned Skin Module 26: Day to Evening Make Up for Wearer of Glasses Module 27: Smokey Eyeliner with Bordeaux & Rose Gold Eyeshadow Shades Module 28: NEW UPDATE: Classic Smokey Eye Makeup Look Module 29: NEW UPDATE: Roségold Eye Makeup Look (See full curriculum) Who is this course for? Individuals seeking to become professional makeup artists. Professionals aiming to expand their makeup skills. Beginners with an interest in makeup artistry. Individuals wishing to start their own makeup business. Makeup enthusiasts wanting to learn new techniques and trends. Career Path Professional Makeup Artist Bridal Makeup Artist Freelance Makeup Artist Makeup Artist for Fashion Shows Makeup Artist for Film & TV Beauty Consultant Makeup Instructor Product Specialist for Makeup Brands

The course focuses on the five domains that should be known for the CompTIA PenTest+ PT0-002 exam. Learn to successfully plan and scope a pen test engagement with a client, find vulnerabilities, exploit them to get into a network, then report on those findings to the client with the help of this comprehensive course.

Achieving a Level 5 Food Hygiene Rating is the gold standard for any food establishment in the UK. This course takes you step-by-step through the essential practices that ensure the highest hygiene standards are maintained in your workplace. Whether you run a restaurant, café, or catering service, understanding how to maintain a pristine environment for food safety is crucial. With the rise in consumer demand for safe dining experiences, having this qualification under your belt will give you the confidence to meet regulations and exceed expectations. This online course is designed to equip you with the knowledge to safeguard both the food you serve and the reputation of your business. Throughout the course, you'll explore key aspects of food hygiene, from maintaining cleanliness in kitchens to handling food correctly. With easily digestible content and practical tips that can be applied directly to your business, you’ll learn how to prevent contamination, ensure proper storage, and avoid common mistakes that can lead to penalties. By the end, you'll be fully prepared to achieve that sought-after Level 5 rating, demonstrating your commitment to excellence in food safety and your customers' well-being. With this course, meeting the standards is just the beginning; it’s about fostering trust and delivering top-tier food hygiene. Key Features Accredited by CPD Instant e-certificate Fully online, interactive Food Hygiene Rating Level 5 course with audio voiceover Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Free Gifts Life Coaching Course Enrol now in this Food Hygiene Rating Level 5 course to excel! To become successful in your profession, you must have a specific set of skills to succeed in today's competitive world. In this in-depth Food Hygiene Rating Level 5 training course, you will develop the most in-demand skills to kickstart your career, as well as upgrade your existing knowledge & skills. The curriculum of the Food Hygiene Rating Level 5 course has been designed by experts with years of experience behind them which is extremely dynamic and well-paced to help you understand the subject matter with ease. Accreditation All of our courses are fully accredited, including this Food Hygiene Rating Level 5 course, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your Food Hygiene Rating Level 5 course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Who is this course for? This course is ideal for all employees or anyone who genuinely wishes to learn more about Food Hygiene Rating Level 5 basics. Requirements No prior degree or experience is required to enrol in this course. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each.

Learn the unique art of Goldwork Embroidery with a modern design that samples essential specialised goldwork stitches and techniques.

This Cryptocurrency Diploma is designed to provide you with all the information you need to know how to confidently use, mine or trade this digital asset. The course will not only instruct you on how to use cryptocurrency, but also how to understand the technology behind it. Learn the skills of the trade today and develop the expertise you need to make the most of this often highly-rewarding industry. Why choose this course Earn a digital Certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays 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 Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £69. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate. Who is this course for? Cryptocurrency Diploma is suitable for anyone who want to gain extensive knowledge, potential experience and skills in the related field. This is a great opportunity for all student from any academic backgrounds to learn more on this subject.

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***Note: Offer is Valid for the First 10 Learners Only*** In the modern world, education and training standards are constantly evolving. This Level 4 Award in the Internal Quality Assurance of Assessment Processes and Practices (RQF) course is a vital tool for professionals who want to succeed in the Quality Assurance field. Recognised by Ofqual and the British Government, this course isn't just another academic credential. It's your gateway to meeting and exceeding the national standards in education and training. Learn from the Best, Be the Best Under the guidance of industry experts, you'll embark on a learning journey that is both enriching and practical. Our instructors bring a wealth of experience and are dedicated to nurturing your potential. Moreover, with our course being recognised by Ofqual and the British Government, your qualification will be respected across the UK and widely acknowledged by employers and educational institutions globally. So enrol today and be one step closer to success. The course is recognised by Ofqual and the British Government as a regulated qualification that meets the national standards for education and training. Upon completing this course, you can pursue different roles such as an Internal Verifier, Quality Assurance Coordinator, or Training Manager within educational institutions, corporate training departments, or vocational training organisations. This qualification is especially beneficial for those looking to step into leadership roles in education and training. You will be able to oversee and improve the quality of teaching and assessment practices. Why this Job Ready Program is a Perfect Package for You! So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our {Course_Title}: Personalised Guidance: Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. 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The package includes the following: Qualification Specification Support Materials 24/7 access to the Course Library Assessment Guidance Tutor Support and Consultation On-Demand Customer Service Assignment, Observation, and Report Templates. **Level 4 Award in the Internal Quality Assurance of Assessment Processes and Practice (RQF)** Unit 1: Understanding The Principles And Practices Of Internally Assuring The Quality Of Assessment Unit 2: Internally Assure The Quality Of Assessment Course Duration Guided Learning Hours These hours are made up of all contact time, guidance or supervision of a learner by a lecturer, supervisor, tutor, trainer or another appropriate provider of education or training. Guided Learning Hours for this qualification is 90. Total Qualification Time This is an estimate of the total length of time it is expected that a learner will typically take to achieve and demonstrate the level of attainment necessary for the award of the qualification i.e. to achieve all learning outcomes. Total Qualification Time is GLH and an estimate of the number of hours a learner is likely to spend in preparation, study or any other learning including assessment, which takes place as directed by, but not under the supervision of a lecturer, supervisor or tutor. The credit value, where given, for a qualification is determined by TQT, as one credit corresponds to 10 hours of learning. Total Qualification Time for this qualification is 120 hours. Method of Assessment Assessment activities consist of a few short assignments that you have to complete to show evidence of general reading while adding references to your work. All assignments should be submitted via the online portal. Video Assessment You have to plan many things, such as observation, questioning/ professional discussion, and inspection of supporting work product evidence. Detailed assignment instructions will be made available to you in the 'Guidance for Achieving the Unit' section of your learning portal with a careful and clear explanation. You have to submit all your assignments via the online portal Certification Successful candidates will be awarded a Level 4 Award in the Internal Quality Assurance of Assessment Processes and Practice (RQF) from Focus Awards Limited. Progression Level 4 Award in Externally Assuring the Quality of Assessment Processes and Practice Level 4 Diploma in Learning and Development. Who is this course for? The Focus Awards Level 4 Award in the Internal Quality Assurance of Assessment Processes and Practices (RQF)course is perfect for: Education and training professionals looking to improve their skills and career prospects Individuals responsible for the quality assurance of assessment processes and practices within their organisation Those seeking a regulated qualification recognised by Ofqual and the British Government Anyone looking to make a real difference to the future of education and training in the UK. Anyone looking to give their career a boost Requirements There are no specific entry requirements for this qualification. This qualification is accredited for learners who are at least 16 years old or above. Career path After receiving the Level 4 Award in the Internal Quality Assurance of Assessment Processes and Practices (RQF) certification, you would be eligible to function as a competent professional as: Professional EQA Professional IQA Practitioner Internal quality assurer Market developer Marketing Executive Quality monitoring officer Certificates Hard copy certificate Hard copy certificate - Included