1921 Courses in Cardiff delivered On Demand

This course teaches you data analysis and visualisation using the versatile R language. From understanding data structures to performing advanced statistical analysis, this course equips you with the skills to extract meaningful insights from complex datasets. This Course At A Glance Accredited by CPD UK Endorsed by Quality Licence Scheme Get a deep understanding of data science, the process and the toolbox Learn about R and Rstudio Get an introduction to the basic data types in R Learn to perform arithmetic calculations on vectors Understand what is a matrix and how to analyse it Know what is factors and how to summarise it Recognise how to create a data frame Get an understanding of the relational and logical operators Learn what is a conditional statement and how to implement the same Learn about loops, functions and R packages Understand data manipulation with dplyr Data Science Course with R Programming Course Overview This comprehensive data science with R programming course is specially designed for those who are willing to get a better understanding of R programming and data science to gain proficiency in the same. This online course will help you strengthen your knowledge of data science, R and Rstudio, basics, vectors and much more. This online data science with R programming course will also help you acquire knowledge about the Matrices, factors, data frame, list, logical and relational operations and conditional statements. You will also gain an understanding of the advanced features like loops, functions R packages, regular expressions, etc., to master R language and data science. By the end of the course, you will be able to write R programmes efficiently and be able to analyse data. You will also develop the skills to become a successful data scientist or data analyst after completing this course. Who should take this course? This comprehensive data science with R programming course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of R programming. Entry Requirements There are no academic entry requirements for this data science with r programming course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This data science with r programming course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner can grasp from each section. In the assessment pass mark is 60%. Course Curriculum Data Science Overview Introduction to Data Science Data Science Career of the Future What is Data Science Data Science As a Process Data Science Toolbox Data Science Process Explained What's Next R and RStudio Engine and Coding Environment Installing R and RStudio RStudio a Quick Tour Introduction to Basics Arithmetic With R Variable Assignment Basic Data Types in R Vectors Creating a Vector Naming a Vector Arithmetic Calculations on Vectors Vector Selection Selection by Comparison Matrices What's a Matrix Analyzing Matrices Naming a Matrix Adding Columns and Rows to a Matrix Selection of Matrix Elements Arithmetic with Matrices Factors What's a Factor Categorical Variables and Factor Levels Summarizing a Factor Ordered Factors Data Frames What's a Data Frame Creating a Data Frame Selection of Data Frame Elements Conditional Selection Sorting a Data Frame Lists Why Would You Need Lists Creating a List Selecting Elements From a List Adding More Data to The List Relational Operators Equality Greater and Less Than Compare Vectors Compare Matrices Logical Operators AND, OR, NOT Operators Logical Operators with Vectors and Matrices Reverse The Result Relational and Logical Operators Together Conditional Statements The IF Statement IF…ELSE The ELSEIF Statement Loops Write a While Loop Looping with More Conditions Break Stop The While Loop What's a For Loop. Loop Over a Vector Loop Over a List Loop Over a Matrix For Loop with Conditionals Using Next and Break with For Loop Functions What Is a Function. Arguments Matching Required and Optional Arguments Nested Functions Writing Own Functions Functions with No Arguments Defining Default Arguments in Functions Function Scoping Control Flow in Functions R Packages Installing R Packages Loading R Packages Different Ways to Load a Package The Apply Family - Lapply What Is Lapply and When Is Used. Use Lapply with User-Defined Functions Lapply and Anonymous Functions Use Lapply with Additional Arguments The Apply Family - Sapply & Vapply What Is Sapply. How to Use Sapply. Sapply with Your Own Function Sapply with a Function Returning a Vector When Can't Sapply Simplify. What Is Vapply and Why Is It Used. Useful Functions Mathematical Functions Data Utilities Regular Expressions Grepl & Grep Metacharacters Sub & Gsub More Metacharacters Dates And Times Today and Now Create and Format Dates Create and Format Times Calculations with Dates Calculations with Times Getting and Cleaning Data Get and Set Current Directory Get Data From The Web Loading Flat Files Loading Excel Files Plotting Data in R Base Plotting System Base Plots Histograms Base Plots Scatterplots Base Plots Regression Line Base Plots Boxplot Data Manipulation With dplyr Introduction to dplyr Package Using The Pipe Operator (%>%) Columns Component Select() Columns Component Rename() and Rename_with() Columns Component Mutate() Columns Component Relocate() Rows Component Filter() Rows Component Slice() Rows Component Arrange() Rows Component Rowwise() Grouping of Rows Summarise() Grouping of Rows Across() Covid-19 Analysis Task Assessment Assessment - Data Science Course with R Programming Recognised Accreditation CPD Certification Service This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Quality Licence Scheme Endorsed The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees.     Certificate of Achievement Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

Take your spray tanning skills to the next level with our Black Magic Brand Training. Designed for beauty professionals, this comprehensive online course teaches you everything you need to confidently deliver flawless tans using the full range of Black Magic Tan products and equipment. Whether you are new to the brand or looking to deepen your knowledge, this training will give you the tools to deliver exceptional results and grow your tanning business. What the Online Training Covers 1. Product Knowledge Full introduction to the Black Magic Tan product range, including Chocolate Base, Argan Base, Rapid Tans, and Competition Solutions How to select the right solution for every skin tone and event 2. Equipment Training Overview of spray tan machines and guns How to set up, maintain, and use your equipment for the best results 3. Application Technique Step-by-step Black Magic spray tan application method Tips for achieving even coverage, smooth blending, and avoiding common tanning mistakes 4. Professional Tanning Protocol Pre-tan consultation and skin preparation advice Full client treatment flow from start to finish Aftercare recommendations for long-lasting, flawless tans Client care, hygiene, and professionalism standards 5. Certification Upon successful completion, you will receive an official Black Magic Brand Training Certificate, recognising your expertise and commitment to professional standards. Exclusive Offer for Online Students If you complete our online training and later book an In-Person Masterclass or Advanced Spray Tan Training, you will receive a £50 discount towards your next course. This makes our online course the perfect first step before progressing to advanced techniques, contouring training, and business growth opportunities. Who This Course is Perfect For Spray tanning professionals new to Black Magic Tan products Beauty professionals wanting to offer a premium tanning service Technicians planning to attend our advanced training in the future Mobile tanners and salon owners looking to upskill their team How to Enrol To start your Black Magic Brand Training today, contact us today Learn at your own pace, master Black Magic Tan products, and start delivering flawless, professional results that set you apart.

Register on the R Programming for Data Science 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 a digital certificate as a proof of your course completion. The R Programming for Data Science 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 R Programming for Data Science 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 After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. 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 R Programming for Data Science, 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 Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's Next? 00:01:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00

This comprehensive .NET Core course will provide a strong foundation in clean architecture, SOLID principles, and help implement the CQRS and Mediator patterns. You will also learn to build and consume APIs in a Blazor WebAssembly application. The course content is fully compatible with .NET 6 and .NET 7, ensuring you are up-to-date with the latest version.

Are you interested in learning Vehicle Wrapping, and have you been thinking 'Where can I find a Vehicle Wrapping Course near me?'. Well, you are at the right place. You can now learn all the basics of Vehicle Wrapping and its best practices from your home. Welcome to our comprehensive vehicle wrapping course solely dedicated to enthusiasts, beginners, and professionals who share a desire to transform automobiles into works of art. This course is designed to provide the skills and information you need to improve your car customisation game. Whether you are a DIY enthusiast or an aspiring professional, this training will meet your learning goals. Each session will gradually increase your knowledge of everything from fundamental automobile preparation to advanced vinyl wrapping techniques. Through this course, you will learn the fundamentals of vehicle care and the art of washing; car detailing essentials and the details of vinyl wrapping a hood; the art of wrapping different car panels, including doors, fenders, and rear quarters; Inlays, emblem, and badge removal techniques for a seamless finish; and Wrapping additional components such as trunks, side skirts, bumpers, and even side mirrors. In addition, you also learn invaluable tips and tricks, such as adding a buffer to the squeegee, cutting edges with precision, and utilising specialised tools like Knifeless Tape. These insights ensure you learn the techniques and adopt industry best practices. By the end of this course, you will be a knowledgeable automotive detailing and automobile wrapping expert. With competence in handling every panel, corner, and logo, you will be confident in transforming any car from ordinary to eye-catching. What are you waiting for? Dive deep into the vinyl wrapping course to unleash your imagination and let your creativity flow. Prepare to dazzle with your newly gained skills in automotive customising as you redefine vehicle aesthetics! What you will learn from this Vehicle Wrapping Course Fundamentals of vehicle care and washing techniques. Car detailing and preparation processes for effective wrapping. Proper usage of tools, including adding a buffer to the squeegee, cutting edges with precision, and utilising Knifeless Tape. Wrapping techniques for various automotive parts, including the hood, fenders, doors, rear quarter panels, trunks, side skirts, bumpers, front bumper, and mirrors. Removal and application techniques for various components, such as bumpers, headlights, door handles, emblems, and badges. Inlay creation and its appropriate use in vinyl wrapping. Tips for efficient material usage and cutting to save resources. Entry Requirement Anyone interested in learning more about this subject should take this Vehicle Wrapping Course. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path The Vehicle Wrapping Course will help you to enhance your knowledge and skill in this sector. After accomplishing this course, you will enrich and improve yourself and brighten up your career in the relevant job market. Course Curriculum Vehicle Wrapping Course Module 01: Vehicle Wash 00:04:00 Module 02: Car Detailing & Preparation of the vehicle 00:05:00 Module 03: How To Use The Squeegee 00:08:00 Module 04: How To Vinyl Wrap A Hood With Air Vents 00:04:00 Module 05: How To Remove Bumpers & Headlights 00:05:00 Module 06: How To Vinyl Wrap A Fender 00:07:00 Module 07: How To Cut The Vinyl Wrap Material For Each Panel To Save Material 00:05:00 Module 08: How To Remove The Door Handles 00:08:00 Module 09: How To Vinyl Wrap The Doors for Vehicle Wrapping 00:06:00 Module 10: Door Handle Vinyl Wrap for Vehicle Wrapping 00:08:00 Module 11: How To Wrap the Rear Quarter Panel for Vehicle Wrapping 00:08:00 Module 12: How To Make an Inlay and When To Use an Inlay for Vehicle Wrapping 00:05:00 Module 13: Trunk Vinyl Wrap for Vehicle Wrapping 00:07:00 Module 14: Side Skirts Vinyl Wrap for Vehicle Wrapping 00:09:00 Module 15: How to Remove the Roof Antenna for Vehicle Wrapping 00:10:00 Module 16: How To Vinyl Wrap the Roof for Vehicle Wrapping 00:06:00 Module 17: How To Vinyl Wrap The Rear Bumper for Vehicle Wrapping 00:08:00 Module 18: How To Vinyl Wrap The Front Bumper for Vehicle Wrapping 00:10:00 Module 19: Side Mirrors Vinyl Wrap for Vehicle Wrapping 00:11:00 Module 20: How to install the Emblems the correct way 00:09:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Diploma in Sage Payroll Course Overview Master the essentials of payroll management and accounting with our Diploma in Sage Payroll course. Whether you're a beginner or an accounting professional looking to upgrade your skills, this course provides practical, hands-on training using Sage 50 Accounts. You’ll learn how to efficiently manage payroll tasks, bank reconciliations, VAT returns, year-end journals, and much more. Through clear step-by-step lessons, you'll build the confidence to run financial operations smoothly and support any business's accounting needs. Get ready to fast-track your career in bookkeeping, payroll, or finance management with a recognised set of in-demand skills. Extra Included: Free Course Included: Accounting Masterclass Lifetime Access Free Student ID Card Learning Outcome Understand how to set up and navigate Sage 50 Accounts. Manage customer and supplier accounts effectively. Handle fixed assets, petty cash, and bank reconciliations. Process payroll transactions and payroll journals. Complete VAT returns and generate essential financial reports. Enter opening balances and perform year-end accounting tasks. Set budgets and gain an introduction to cash flow and report designing. Who is this Diploma in Sage Payroll Course for? This course is ideal for individuals aiming to pursue a career in bookkeeping, accounting, or payroll administration. It is also perfectly suited for small business owners managing their own finances, freelance accountants, and professionals wishing to enhance their Sage 50 Accounts knowledge for better career prospects. Entry Requirements There are no formal entry requirements for this course. It is open to anyone who is interested in learning Sage Payroll and bookkeeping. Accredited Certification After successfully completing the course, you can get a UK and internationally accepted certificate to share your achievement with potential employers or include it in your CV. For the PDF certificate, you’ll need to pay £9.99. You can get the hard copy for 15.99, which will reach your doorstep by post.

Register on the Machine Learning in Flutter 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 a digital certificate as a proof of your course completion. The Machine Learning in Flutter course 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 Machine Learning in Flutter Course 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 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 After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. 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 Machine Learning in Flutter course, 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 Unit 01: Introduction Module 01: Course Curriculum 00:02:00 Unit 02: Image Picker and Camera Libraries Module 01: Image Picker Library for Flutter App Development 00:13:00 Module 02: Flutter Image Picker Application Testing 00:01:00 Module 03: Camera Package Setup for Flutter 00:04:00 Module 04: Flutter Camera Package Code 00:08:00 Unit 03: Firebase ML Kit Module 01: Firebase ML kit section Introduction 00:01:00 Module 02: Firebase ML Kit introduction 00:02:00 Unit 04: Image Labeling using ML Kit Module 01: Flutter Image Labeling Section Introduction 00:02:00 Module 02: Importing Starter code for image labeling 00:03:00 Module 03: Image labeling starter code explanation 00:06:00 Module 04: Creating firebase project for image labeling 00:06:00 Module 05: Adding Firebase ML Vision library in Flutter Application 00:10:00 Module 06: Testing Firebase Image labeling application 00:01:00 Module 07: Importing Image Labeling live feed application starter code 00:03:00 Module 08: Flutter Camera Package Code 00:06:00 Module 09: Flutter Image Labeling live feed application code 00:08:00 Module 10: Flutter Image labeling live feed application testing 00:01:00 Unit 05: Section Barcode Scanning Module 01: Flutter Barcode Scanning Section Introduction 00:02:00 Module 02: Importing Starter code for Flutter Barcode Scanning 00:03:00 Module 03: Flutter Barcode Scanning code 00:11:00 Module 04: Flutter Barcode Scanning Application Testing 00:01:00 Module 05: Flutter Barcode Scanning Live Feed Application code 00:08:00 Module 06: Flutter Barcode Scanning Live feed Application Testing 00:01:00 Unit 06: Section Text Recognition Module 01: Flutter Text Recognition Section Introduction 00:01:00 Module 02: Importing Starter code for Flutter Text Recognition 00:03:00 Module 03: Writing Flutter Text Recognition Code 00:09:00 Module 04: Testing Flutter Text Recognition Application 00:01:00 Unit 07: Section Face Detection Module 01: Flutter Face Detection Section Introduction 00:02:00 Module 02: Flutter Face Detection Application Flow 00:01:00 Module 03: Flutter Face Detection code 00:06:00 Module 04: Flutter drawing rectangles around detected faces 00:05:00 Unit 08: Pretrained Tensorflow lite models Module 01: Pretrained Tensorflow lite models Section Introduction 00:02:00 Unit 09: Section Image Classification Module 01: Flutter Image classification Section introduction 00:02:00 Module 02: Importing Starter code for Flutter Image classification application 00:03:00 Module 03: Starter code explanation for Flutter Image classification 00:06:00 Module 04: Writing flutter image classification code 00:13:00 Module 05: Testing flutter image classification application 00:02:00 Module 06: Importing Flutter live feed Image classification application starter code 00:03:00 Module 07: Starter code explanation of Flutter Live feed Image classification application 00:05:00 Module 08: Writing Flutter Image classification code 00:11:00 Module 09: Testing live feed image classification flutter application 00:01:00 Unit 10: Section object detection Module 01: Flutter Object detection section introduction 00:02:00 Module 02: Importing Application code object detection flutter 00:05:00 Module 03: Flutter Object detection code 00:13:00 Module 04: Flutter Drawing Rectangles around detected objects 00:04:00 Module 05: Importing the code for live feed object detection flutter application 00:02:00 Module 06: Testing object detection live feed flutter application 00:01:00 Module 07: Flutter Live feed object detection application code 00:10:00 Unit 11: Section human pose estimation Module 01: Flutter Pose estimation section introduction 00:02:00 Module 02: Importing Flutter Pose estimation Application code 00:04:00 Module 03: Flutter Pose estimation code 00:10:00 Module 04: Importing pose estimation live feed flutter application code 00:02:00 Module 05: Flutter Live feed pose estimation application demo 00:09:00 Module 06: Using PoseNet model for Flutter Live feed pose estimation application 00:08:00 Unit 12: Image segmentation section Module 01: Flutter Image Segmentation Section Introduction 00:02:00 Module 02: Importing Flutter Image Segmentation Application code 00:03:00 Module 03: Flutter using DeepLab model for image segmentation 00:09:00 Unit 13: Section Training Image Classification Models Module 01: Section Introduction 00:02:00 Module 02: Machine Learning and Image classification 00:02:00 Unit 14: Dog Breed Classification Module 01: Flutter getting the dataset for model training 00:05:00 Module 02: Flutter Training the model 00:06:00 Module 03: Flutter Dog Breed Classification Application 00:18:00 Module 04: Flutter Live feed dog breed classification application 00:03:00 Module 05: Testing live feed dog breed classification application 00:01:00 Unit 15: Fruits Recognition using Transfer Learning Module 01: Transfer learning introduction 00:02:00 Module 02: Flutter getting the dataset for model training 00:05:00 Module 03: Flutter Training fruit recognition model 00:09:00 Module 04: Flutter Testing Live feed fruits recognition application 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.

Course Overview: The demand for User Experience (UX) and User Interface (UI) designers is skyrocketing. Our Advanced Diploma in User Experience UI/UX Design is a comprehensive program that equips you with the knowledge and skills to craft seamless and user-centric designs that leave a lasting impact.Through a series of thoughtfully designed modules, learners will not only gain an understanding of UX/UI but also the dynamics of the Web Industry, Graphic Design implications, and the intricate details of UX Design, followed by an extensive dive into UI Design and Optimization techniques. Ultimately, the course incorporates a holistic understanding of the Careers in UX/UI, empowering students to venture confidently into this promising field.Enrol in this Advanced Diploma in User Experience UI/UX Design course today and start your journey to a successful career in UX or UI design! Key Features of the Course: CPD Certification 24/7 Learning Assistance Interesting Learning Materials Who is This Course For? This Advanced Diploma in User Experience UI/UX Design course is ideal for aspiring UX/UI designers, web developers, graphic designers, product managers, and professionals looking to enhance their design skills. Whether you are a beginner or have some experience in design, this course will help you develop a solid foundation and master the intricacies of UX/UI design. What You Will Learn: In the first part of the Advanced Diploma in User Experience UI/UX Design course, you will dive into the fundamentals, including the difference between UX and UI, the roles and responsibilities of designers in a team, and an overview of the web development process. You will also explore the psychology of colour, working with fonts and icons, and the essential tools and techniques used in graphic design. Moving forward, you will uncover the core principles of UX design, learn how to analyse user profiles, identify pain points, and create user personas. You will gain insights into customer journeys, sales funnels, and the principles of influence. Through hands-on projects, you will develop skills in creating storyboards, mood boards, and information architecture. In the latter part of the course, you will focus on wireframing, prototyping, and testing, ensuring your designs are user-friendly and intuitive. You will learn about usability reports, the "Above the Fold" rule, and optimisation using analytics and heat maps. The course also provides valuable guidance on launching a UX/UI design career, including freelancing, personal branding, and building a professional website. Why Enrol in This Course: Join thousands of satisfied learners who highly rated this Advanced Diploma in User Experience UI/UX Design course for its comprehensive curriculum and effective approach. Benefit from up-to-date industry insights and the latest design trends, ensuring you stay ahead of the curve. UX/UI design is one of the fastest-growing fields, offering abundant job opportunities and career growth potential. Develop your design thinking and problem-solving skills, unleashing your creative potential to craft extraordinary user experiences. Requirements: Enrolling in this Advanced Diploma in User Experience UI/UX Design course requires a basic understanding of design concepts and access to a computer with an internet connection. No prior coding or design experience is required. Career Path: Upon completing this Advanced Diploma in User Experience UI/UX Design course, you will be well-prepared for a range of exciting career opportunities, including: UX/UI Designer (£35,000 - £55,000 per annum) Web Developer (£30,000 - £45,000 per annum) Graphic Designer (£25,000 - £40,000 per annum) Product Manager (£40,000 - £70,000 per annum) UX Researcher (£35,000 - £50,000 per annum) Interaction Designer (£35,000 - £60,000 per annum) User Experience Architect (£45,000 - £75,000 per annum) Certification: Upon completing the Advanced Diploma in User Experience UI/UX Design course, you will receive a CPD certificate, widely recognised as a mark of excellence in the professional development of individuals. Enrol today and join the ranks of successful designers who have harnessed the power of user-centric design to create remarkable digital experiences. Course Curriculum 9 sections • 112 lectures • 12:52:00 total length •Learn UX/UI Course Overview: 00:05:00 •Section Overview: 00:04:00 •UX vs UI: 00:04:00 •UX/UI Designer Marketplace: 00:05:00 •Overview of UX Roles: 00:06:00 •Web Industry Section Overview: 00:03:00 •The Phases of Web Development: 00:13:00 •Designer Responsibilities (working in a team): 00:09:00 •Roles & Descriptions (working in a team): 00:05:00 •Agile Approach To Project Management: 00:12:00 •Scrum - Flexible Framework: 00:06:00 •Project Management Apps: 00:13:00 •XD Lesson - Introduction: 00:13:00 •Graphic Design Section Overview: 00:02:00 •The Psychology of Color: 00:13:00 •Color Wheel & Color Schemes: 00:06:00 •Working with Fonts: 00:10:00 •Working With Icons: 00:04:00 •XD Lesson - Tools, Object Manipulation and Components: 00:13:00 •XD Lesson - Font Styles and Artboard Settings: 00:07:00 •Graphic Design Software Tools: 00:03:00 •Adobe XD lesson 4 - Icons & Vector Graphics: 00:14:00 •UX Design Section Overview: 00:04:00 •What is User Experience Design? (UX): 00:09:00 •UX Design Process: 00:03:00 •The UX Analysis Process: 00:08:00 •Working with User Profiles: 00:03:00 •Understanding User Pain Points: 00:03:00 •XD Lesson 5 Class Project: Сompetitive Analysis: 00:10:00 •Developing a Persona Part 1: 00:05:00 •Developing a Persona Part 2: 00:05:00 •Customer Journey: 00:04:00 •Customer Journey vs Sales Funnel: 00:04:00 •3 Phases of a Sales Funnel: 00:07:00 •4 Stages of a Sales Funnel: 00:06:00 •Macro/Micro Conversions: 00:05:00 •Stages of Market Sophistication: 00:06:00 •Lead Generation Funnel: 00:06:00 •Digital Product Sales Funnel: 00:05:00 •7 Principles of Influence: 00:12:00 •Age Based Influence Triggers: 00:06:00 •Gender Influence Triggers: 00:06:00 •Interest Based Marketing: 00:04:00 •Understanding User Flow: 00:08:00 •XD Lesson 6 Class Project: Userflow - Your first UX deliverable: 00:07:00 •Working with Story Boards: 00:05:00 •XD Lesson 7 Class Project: Crafting a Story board: 00:09:00 •Working with Moodboards: 00:04:00 •XD Lesson 8 Class Project: Creating Moodboard: 00:11:00 •Sitemap & Information Architecture: 00:07:00 •XD Lesson - Class Project: App Architecture: 00:09:00 •Low and Hi Fidelity Wireframes: 00:03:00 •XD Lesson - Class Project: Login Screen Wireframe Using Material Design: 00:08:00 •Working with Prototypes: 00:04:00 •XD Lesson - Class Project: Home Screen Wireframe and Linking: 00:07:00 •XD Lesson - Class Project: Adding Interaction to Wireframes: 00:10:00 •Testing and Evaluating: 00:11:00 •UX Deliverables: 00:03:00 •UX Design Conclusion: 00:01:00 •UI Design Section Overview: 00:03:00 •UI Design Overview: 00:03:00 •Types of Interfaces: 00:10:00 •Landing Pages Overview: 00:10:00 •XD Lesson - Using Grids in XD: 00:08:00 •XD Lesson - Single Card design: 00:13:00 •UI Controls: 00:07:00 •UI Components: 00:12:00 •Navigational Components: 00:12:00 •Header Design Overview: 00:07:00 •XD Lesson - Mobile & Desktop: Header Design: 00:10:00 •XD Lesson - Mobile & Desktop: Dropdown Design: 00:06:00 •Common Layouts Overview: 00:08:00 •XD Lesson - Common Layouts: 00:07:00 •Mobile & Desktop Footer Design Overview: 00:07:00 •XD Lesson - Mobile & Desktop: Footer Design: 00:06:00 •Mobile & Desktop Button Design Overview: 00:05:00 •XD Lesson - Mobile & Desktop: Button Design: 00:10:00 •XD Lesson - Mobile & Desktop: Input Design: 00:07:00 •Mobile & Desktop Filter Search Bar Design Overview: 00:06:00 •Adobe XD Lesson - Mobile & Desktop: Filter Design: 00:07:00 •Adobe XD Lesson - Mobile & Desktop: Search Design: 00:03:00 •UI Kit Overview: 00:05:00 •Adobe XD Lesson - Desktop and Mobile: UI Kit: 00:06:00 •Microinteractions Overview: 00:05:00 •Adobe XD lesson - Microinteractions: 00:07:00 •Optimization Section Overview: 00:02:00 •Feedback Review & Getting Referrals: 00:04:00 •'Above the Fold' Rule: 00:04:00 •Adobe XD lesson - Designing a Powerful Above the Fold: 00:08:00 •Using Analytics For Optimization: 00:05:00 •Heat Maps & Element Placements: 00:04:00 •Crafting A Usability Report Overview: 00:08:00 •Adobe XD lesson - Crafting Reports in XD: 00:20:00 •Careers in UX/UI Section Overview: 00:06:00 •Your Daily Productivity Hub: 00:14:00 •How To Start Freelancing: 00:08:00 •Client Consulting: 00:04:00 •Building a Brand: 00:10:00 •Personal Branding: 00:06:00 •The Importance of Having a Website: 00:08:00 •Creating a Logo: 00:05:00 •Step by Step Website Setup: 00:17:00 •UI Templates: 00:06:00 •Logo Templates: 00:04:00 •Creating a Business Email: 00:06:00 •Networking Do's and Don'ts: 00:04:00 •Top Freelance Websites: 00:10:00 •UX/UI Project Scope Questions: 00:10:00 •Laser Focus & Productivity Tools: 00:06:00 •The Places to Find UX Jobs: 00:05:00 •Resources - Advanced Diploma in User Experience UI/UX Design: 00:00:00 •Assignment - Advanced Diploma in User Experience UI/UX Design: 00:00:00

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Welcome to the course Introduction 00:02:00 Setting up R Studio and R crash course Installing R and R studio 00:05:00 Basics of R and R studio 00:10:00 Packages in R 00:10:00 Inputting data part 1: Inbuilt datasets of R 00:04:00 Inputting data part 2: Manual data entry 00:03:00 Inputting data part 3: Importing from CSV or Text files 00:06:00 Creating Barplots in R 00:13:00 Creating Histograms in R 00:06:00 Basics of Statistics Types of Data 00:04:00 Types of Statistics 00:02:00 Describing the data graphically 00:11:00 Measures of Centers 00:07:00 Measures of Dispersion 00:04:00 Introduction to Machine Learning Introduction to Machine Learning 00:16:00 Building a Machine Learning Model 00:08:00 Data Preprocessing for Regression Analysis Gathering Business Knowledge 00:03:00 Data Exploration 00:03:00 The Data and the Data Dictionary 00:07:00 Importing the dataset into R 00:03:00 Univariate Analysis and EDD 00:03:00 EDD in R 00:12:00 Outlier Treatment 00:04:00 Outlier Treatment in R 00:04:00 Missing Value imputation 00:03:00 Missing Value imputation in R 00:03:00 Seasonality in Data 00:03:00 Bi-variate Analysis and Variable Transformation 00:16:00 Variable transformation in R 00:09:00 Non Usable Variables 00:04:00 Dummy variable creation: Handling qualitative data 00:04:00 Dummy variable creation in R 00:05:00 Correlation Matrix and cause-effect relationship 00:10:00 Correlation Matrix in R 00:08:00 Linear Regression Model The problem statement 00:01:00 Basic equations and Ordinary Least Squared (OLS) method 00:08:00 Assessing Accuracy of predicted coefficients 00:14:00 Assessing Model Accuracy - RSE and R squared 00:07:00 Simple Linear Regression in R 00:07:00 Multiple Linear Regression 00:05:00 The F - statistic 00:08:00 Interpreting result for categorical Variable 00:05:00 Multiple Linear Regression in R 00:07:00 Test-Train split 00:09:00 Bias Variance trade-off 00:06:00 Test-Train Split in R 00:08:00 Regression models other than OLS Linear models other than OLS 00:04:00 Subset Selection techniques 00:11:00 Subset selection in R 00:07:00 Shrinkage methods - Ridge Regression and The Lasso 00:07:00 Ridge regression and Lasso in R 00:12:00 Classification Models: Data Preparation The Data and the Data Dictionary 00:08:00 Importing the dataset into R 00:03:00 EDD in R 00:11:00 Outlier Treatment in R 00:04:00 Missing Value imputation in R 00:03:00 Variable transformation in R 00:06:00 Dummy variable creation in R 00:05:00 The Three classification models Three Classifiers and the problem statement 00:03:00 Why can't we use Linear Regression? 00:04:00 Logistic Regression Logistic Regression 00:08:00 Training a Simple Logistic model in R 00:03:00 Results of Simple Logistic Regression 00:05:00 Logistic with multiple predictors 00:02:00 Training multiple predictor Logistic model in R 00:01:00 Confusion Matrix 00:03:00 Evaluating Model performance 00:07:00 Predicting probabilities, assigning classes and making Confusion Matrix in R 00:06:00 Linear Discriminant Analysis Linear Discriminant Analysis 00:09:00 Linear Discriminant Analysis in R 00:09:00 K-Nearest Neighbors Test-Train Split 00:09:00 Test-Train Split in R 00:08:00 K-Nearest Neighbors classifier 00:08:00 K-Nearest Neighbors in R 00:08:00 Comparing results from 3 models Understanding the results of classification models 00:06:00 Summary of the three models 00:04:00 Simple Decision Trees Basics of Decision Trees 00:10:00 Understanding a Regression Tree 00:10:00 The stopping criteria for controlling tree growth 00:03:00 The Data set for this part 00:03:00 Importing the Data set into R 00:06:00 Splitting Data into Test and Train Set in R 00:05:00 Building a Regression Tree in R 00:14:00 Pruning a tree 00:04:00 Pruning a Tree in R 00:09:00 Simple Classification Tree Classification Trees 00:06:00 The Data set for Classification problem 00:01:00 Building a classification Tree in R 00:09:00 Advantages and Disadvantages of Decision Trees 00:01:00 Ensemble technique 1 - Bagging Bagging 00:06:00 Bagging in R 00:06:00 Ensemble technique 2 - Random Forest Random Forest technique 00:04:00 Random Forest in R 00:04:00 Ensemble technique 3 - GBM, AdaBoost and XGBoost Boosting techniques 00:07:00 Gradient Boosting in R 00:07:00 AdaBoosting in R 00:09:00 XGBoosting in R 00:16:00 Maximum Margin Classifier Content flow 00:01:00 The Concept of a Hyperplane 00:05:00 Maximum Margin Classifier 00:03:00 Limitations of Maximum Margin Classifier 00:02:00 Support Vector Classifier Support Vector classifiers 00:10:00 Limitations of Support Vector Classifiers 00:01:00 Support Vector Machines Kernel Based Support Vector Machines 00:06:00 Creating Support Vector Machine Model in R The Data set for the Classification problem 00:01:00 Importing Data into R 00:08:00 Test-Train Split 00:09:00 Classification SVM model using Linear Kernel 00:16:00 Hyperparameter Tuning for Linear Kernel 00:06:00 Polynomial Kernel with Hyperparameter Tuning 00:10:00 Radial Kernel with Hyperparameter Tuning 00:06:00 The Data set for the Regression problem 00:03:00 SVM based Regression Model in R 00:11:00 Assessment Assessment - Machine Learning Masterclass 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Managing accounts receivable isn't just about chasing invoices—it’s about mastering the flow of cash with the finesse of a financial conductor. This course takes you through the art and strategy behind credit control, client invoicing, and debt recovery without ever sounding like a textbook. Whether you’re polishing up your knowledge or stepping into the finance game with a keen eye, we’ve built this for the sharp-minded professional who knows every penny delayed is more than just a minor inconvenience. Expect a clear, structured approach to understanding how receivables shape business health and how to keep them in check. Learn how to minimise overdue payments, improve cash flow forecasting, and create smoother client transactions—without feeling like you’re lost in spreadsheets. If you're after savvy financial control without the fluff, this course is your ledger-friendly companion. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01 : Introduction to Accounts Receivable Management Module 02 : Credit Policies and Procedures Module 03 : Billing and Invoicing Module 04 : Receivables Collection Strategies Module 05 : Cash Application and Reconciliation Module 06 : Accounts Receivable Technologies and Trends Learning Outcomes: Analyse and implement efficient credit policies. Streamline billing and invoicing procedures. Develop effective receivables collection strategies. Master the art of cash application and reconciliation. Stay updated with the latest Accounts Receivable technologies and trends. Enhance your financial management skills for a competitive edge. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Finance professionals Business owners and managers Accountants Financial analysts Administrative professionals Anyone interested in financial management Graduates seeking to enhance their financial knowledge Those looking to advance their career in finance Career path Credit Manager Financial Analyst Accounts Receivable Specialist Finance Manager Business Owner Accounting Clerk Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.