2439 Courses

Free Level 3 QLS Endorsed Certificate | CPD Accredited | 120 CPD Points | Advanced Learning Materials | Lifetime Access

Dive into the dynamic realm of WebGL 2D/3D Programming and Graphics Rendering through this comprehensive course. Explore various sections, from foundational concepts to advanced techniques in drawing objects, applying colors and textures, transforming objects, camera movement, lighting, and shading. Participants will develop the skills to create captivating and immersive graphics using WebGL technology. Learning Outcomes: Grasp the fundamentals of WebGL programming and graphics rendering. Create and manipulate objects using WebGL for both 2D and 3D environments. Apply colors and textures to enhance the visual quality of graphics. Implement object movement and transformation techniques. Understand camera manipulation and movement for dynamic views. Master lighting and shading techniques for realistic visual effects. Apply learned concepts to real-world graphics rendering projects. Develop proficiency in WebGL programming for interactive graphics applications. Why buy this WebGL 2D/3D Programming and Graphics Rendering?  Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the WebGL 2D/3D Programming and Graphics Rendering you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This WebGL 2D/3D Programming and Graphics Rendering course is ideal for Programmers and developers interested in graphics programming using WebGL. Computer graphics enthusiasts seeking to expand their knowledge and skills. Students pursuing degrees in computer science or related fields. Designers looking to integrate interactive and visually appealing graphics into their projects. Prerequisites This WebGL 2D/3D Programming and Graphics Rendering 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. Career path Junior Web Developer: £20,000 - £30,000 WebGL Developer: £30,000 - £45,000 Graphics Programmer: £35,000 - £50,000 Senior Software Engineer (Graphics): £45,000 - £70,000 Technical Lead (Graphics Programming): £60,000 - £90,000. Course Curriculum Section 01: Introduction WebGL vs OpenGL vs OpenGL ES 00:05:00 Setup Server (Mac, Windows and Linux) 00:05:00 Setup WebGL Project 00:08:00 Section 02: Drawing Objects WebGL Rendering Pipeline 00:04:00 Drawing A Point 00:22:00 Normalised Coordinates vs Device Coordinates 00:10:00 Drawing A Simple Triangle 00:06:00 Drawing A Line Using gl.LINES 00:03:00 Drawing A Line Using gl.LINE_STRIP & gl.LINE_LOOP 00:03:00 Drawing A Triangle With Lines Using gl.TRIANGLE_STRIP & gl.TRIANGLE_FAN 00:03:00 Drawing A Quad 00:07:00 Drawing A 3D Cube 00:24:00 Setup Three.js 00:06:00 Loading & Drawing A Model Using Three.js 00:16:00 Section 03: Colours and Textures Applying Color To Shapes 00:09:00 One Color Per Triangle 00:15:00 One Color Per Vertex Using Interpolation 00:02:00 Applying A Texture To Shapes 00:23:00 Texture Coordinates 00:08:00 Section 04: Moving & Transforming Objects Moving Objects Using Translation 00:06:00 Left Handed vs Right Handed Coordinate System 00:06:00 Sizing Objects Using Scaling 00:06:00 Combining Transformations 00:07:00 Section 05: Movement & Camera Mouse Input 00:11:00 Keyboard Input 00:09:00 Fixing Rotation and Adding Individual Rotation 00:08:00 Section 06: Lighting & Shading Ambient Lighting 00:13:00 Section 07 Resource Resource 00:00:00 Assignment Assignment - WebGL 2D/3D Programming and Graphics Rendering 00:00:00

Course Overview Are you looking to become a Python programmer or software engineer? The Python 3 Masterclass will take you from beginner to expert in this programming language in no time, with step-by-step instructor-led guidance. Through video training, you will develop your data analysis, programming and coding skills, learning how to perform a wide range of tasks. It will explore best practices for string formatting, teach you how to read and write files, use Boolean, and much more. This course is open to anyone who wants to learn Python programming from the basics to an advanced level. Enrol as a part-time or full-time student today and gain the skills to become a Python programming pro. This best selling Python 3 Masterclass has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Python 3 Masterclass is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Python 3 Masterclass is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Python 3 Masterclass is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Python 3 Masterclass, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Python 3 Masterclass will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Python 3 Masterclass to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

This course aims to teach the programming language C++ with an emphasis on the modern features introduced in C++17. The course will cover both old and new concepts in C++, including classes, operator overloading, inheritance, polymorphism, templates, and concurrency. By the end of the course, the students will have gained the knowledge needed to become proficient C++ developers.

10 QLS Endorsed Courses for Programming | 10 Endorsed Certificates Included | Life Time Access

•The Online NLP Practitioner Training is a comprehensive program that will provide you with the tools and techniques you need to overcome your chronic pain and mental health conditions. • The program includes a printable digital copy of the NLP Practitioner Manual, access to the video recording of the training, ‘live’ online demonstrations of the techniques in action on yourself, online support for one year by way of group calls, and assistance set up your business website. • This program is perfect for anyone who wants to achieve positive change in their lives! Whether you’re a self-starter who is interested in self-development or a professional who is seeking career development and job fulfilment.

iscover the fascinating world of Python programming as you take your first steps into the realm of coding. This course is designed to ignite your passion for programming, providing a solid foundation for beginners. Get ready to unleash your creative potential in the world of technology.

“Master the integration of AI in programming with our ‘ChatGPT for Programmers’ course. Discover how ChatGPT can revolutionize your coding skills and open new horizons in software development.”

Quality Guarantee: Promising training excellence, satisfaction gurantee Accredited by CPD UK & Quality License Scheme Tutor Support Unlimited support via email, till you complete the course Recognised Certification: Accepted by thousands of professional bodies Start Anytime With 1 year access to the course materials Online Learning Learn from anywhere, whenever you want This course will help you understand Neuro-Linguistic Programming where you will learn how to reprogram your thoughts and beliefs for personal growth and success. This course at a glance Accredited by CPD UK Endorsed by Quality Licence Scheme Learn the fundamentals of Neuro-Linguistic Programming Understand people's beliefs and expectations and why they are so powerful Learn about the Law of attraction and what guides people to go ahead in their lives Understand the relevance of Visualisation and the process to do it correctly Learn how to release human negative emotions, behaviors, and beliefs Understand how people's mind and emotions play a significant role in achieving personal and professional goals Learn the art of communicating and building a relationship with people more effectively Understand how to create your dream life in 30 days Why Master NLP & The Law Of Attraction Course right for you? This comprehensive online course is designed for those who want to have a basic understanding of neuro-linguistic programming, the law of attraction, the power of visualisation, communication, and personal development. You will learn emotional and mental elements of neurology, steps to manifest your dreams in 30 days and cognitive functions of the human body. By the end of the course, you will gain theoretical knowledge in NLP to understand people's emotions, expectations, psychological issues, and language. Master NLP & The Law Of Attraction Course Details Accredited by 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.   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. Course Curriculum This is What You'll Get From This Course This Is What You'll Get From This Course This is What You'll Get From This Course This Is What You'll Get From This Course Where It All Started…. My Story - How A Mysterious Illness Dramatically Changed My Life NLP-Neuro Linguistic Programming What NLP Is And What It Can Do For You Why Your Mindset Beliefs And Expectations Are So Powerful - How To Get It Right The Law Off Attraction (LOA) The LOA - What It Is This Is Guiding You Every Step Of The Way How To Allow All What You Want To Flow Easily To You How To Create What You Want Deliberately And On Purpose The Power Of Visualization And How To Do It Right Manifest Your Dreams in 30 Days Process Create Your Dream Life With This 30 Day Process Who should take this course? This extensive course is suitable for those who want to have basic knowledge of NLP- Neuro-Linguistic Programming or anyone who wants to practice NLP in their future endeavors. Entry Requirements There are no academic entry requirements for this Master NLP & The Law Of Attraction 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 Nutrition for Weight Loss 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 could grasp from each section. In the assessment pass mark is 60%. Certification 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

Delve into the world of data analysis with 'R Programming for Data Science,' a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations. A highlight of this course is its in-depth exploration of R's versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts. Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language's capabilities. Learners will also gain expertise in the 'apply' family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R. Learning Outcomes Develop a foundational understanding of R's role in data science and proficiency in RStudio. Gain fluency in R programming basics, enabling the handling of complex data tasks. Acquire skills in managing various R data structures for efficient data analysis. Master relational and logical operations for advanced data manipulation in R. Learn to create functions and utilize R packages for expanded analytical capabilities. Why choose this R Programming for Data Science course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this R Programming for Data Science course for? Beginners in data science eager to learn R programming. Data analysts and scientists looking to enhance their skills in R. Researchers in various fields requiring advanced data analysis tools. Statisticians seeking to adopt R for more sophisticated data manipulations. Professionals in finance, healthcare, and other sectors needing data-driven insights. Career path Data Scientist (R Expertise): £30,000 - £70,000 Data Analyst (R Programming Skills): £27,000 - £55,000 Bioinformatics Scientist (R Proficiency): £35,000 - £60,000 Quantitative Analyst (R Knowledge): £40,000 - £80,000 Research Analyst (R Usage): £25,000 - £50,000 Business Intelligence Developer (R Familiarity): £32,000 - £65,000 Prerequisites This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science 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. Course Curriculum 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? 00:02:00 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 Assignment Assignment - R Programming for Data Science 00:00:00