308 Computer Science (CS) courses

This unique syllabus teaches modules in Adobe software for A Level/GCSE and adults. Learn the basics and dive deeper with our experienced teachers, who will help you build upon your professional portfolio and provide you with what you need to work towards a professional qualification.  The below outline covers Photoshop, Illustrator, Premiere Pro, and Acrobat. Module 1: Introduction to Adobe Creative Cloud • Understanding Adobe's Creative Cloud Suite • Installation and setup • Introduction to the user interface • Navigating Adobe software Module 2: Adobe Photoshop Basics • Introduction to Photoshop • Understanding raster graphics • Essential tools and panels • Basic photo editing and retouching Module 3: Intermediate Photoshop Skills • Advanced selection techniques • Layers and blending modes • Color correction and adjustment layers • Creating and editing masks Module 4: Adobe Illustrator Fundamentals • Introduction to vector graphics • Illustrator's interface and tools • Drawing and editing shapes • Working with text and typography Module 5: Advanced Illustrator Techniques • Creating complex vector illustrations • Using the Pen tool effectively • Working with gradients and patterns • Illustrator's 3D capabilities Module 6: Adobe Premiere Pro Basics • Introduction to video editing • Premiere Pro's workspace • Importing and organising media • Basic video editing and transitions Module 7: Advanced Premiere Pro Editing • Advanced video editing techniques • Working with audio and sound • Applying effects and colour correction • Exporting video for various platforms Module 8: Adobe Acrobat for Document Management • Introduction to Adobe Acrobat • Creating, editing, and organising PDFs • Adding interactivity to PDFs • Digital signatures and security features Module 9: Integration and Workflow • Seamless integration between Adobe software • Creating assets in Photoshop/Illustrator for use in Premiere Pro • Exporting and importing files for collaborative work • Best practices for project management Module 10: Portfolio Development and Practical Projects • Final projects for each Adobe application • Developing a professional portfolio • Presenting and sharing your work • Preparing for Adobe certification exams (optional) Please note that the duration and depth of each module can vary depending on the level of expertise required and the specific needs of the learners. Additionally, it's important to adapt the curriculum to the learners' proficiency levels, whether they are A Level/GCSE students or adult learners with different experience levels.

Are you one of those developers who have heard the buzzword about microservices, but you don't know where to start from? Or are you wondering if a microservices architecture is a right fit for your .NET project? Then this course is for you. Learn all about microservices architecture using .NET Core MVC and protect your project or team from the drawbacks of a monolithic application.

In this course, you will learn how to create an AAA-looking scene in Unreal Engine 5 from scratch. This class is not for beginners; therefore, no basics of Unreal Engine 5 will be covered. You should be able to know how to navigate and have basic knowledge of the Unreal Engine 5 Interface.

Python for Data Science and Machine Learning Bootcamp online course is suitable for anyone interested in learning Python for data science and machine learning. It is especially ideal for aspiring data scientists and professionals seeking to enhance their data analysis skills.

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

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

Cryptocurrency is a digital or virtual currency created to operate as a medium of exchange. Cryptocurrency emerged in the digital era with components of mathematical theory and computer science to convert a system to secure communications, information and money online. It is not unknown that cryptocurrencies exploded onto the display with the invention of the Blockchain technology and the first cryptocurrency was Bitcoin created in 2009. The actual aim of this Cryptocurrency Diploma is to shed light on the possibility to make money by investing in cryptocurrencies. Through this course, you will explore every detail about cryptocurrency as well as fund money on cryptocurrency without losing a single penny. Grab the opportunity to educate yourself about cryptocurrency and become financially independent in the coming future. Who is this Course for? Cryptocurrency Diploma is perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. 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. Assessment: This course does not involve any MCQ exams. Students need to answer 3 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work. Course Curriculum Introduction Introduction 00:09:00 Cryptocurrency Basics Understanding How Cryptocurrencies Work 00:15:00 Cryptocurrencies as an Investment 00:08:00 Analyzing the Intrinsic Value of Cryptocurrency 00:06:00 Cryptocurrencies versus other Investments Cryptocurrency versus Stocks 00:05:00 Cryptocurrency versus Real Estate 00:05:00 Cryptocurrency versus Gold 00:04:00 Bitcoin versus Ethereum 00:05:00 Other Cryptocurrencies 00:06:00 The Psychology of Cryptocurrencies A New Technology-'This Time it's Different' 00:07:00 The Cryptocurrency Bubble versus the Great Tulip and Dot Com Bubbles 00:07:00 The Psychology of Cryptocurrency as an Investment 00:06:00 Relative versus Absolute Return on Investment 00:07:00 The Absolute BEST Way to Get Rich: Proven, Tested, Timeless 00:11:00 Conclusion Conclusion 00:04:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Delve into the intricate world of 'Data Structure' with our comprehensive course, meticulously crafted for those who have a penchant for understanding the skeleton of software engineering. Data structures form the backbone of algorithmic efficiency, and mastering them is akin to holding the master key to software optimisation. Our course is a confluence of foundational knowledge and complex data structuring, ensuring that you emerge not only informed but also invigorated, ready to tackle any computational challenge thrown your way. Learning Outcomes Gain foundational understanding of different data structures and their implementations. Discover the intricate details of arrays, linked lists, stacks, and queues. Develop the ability to effectively utilise advanced structures like AVL trees and Fenwick trees. Master techniques for optimising algorithmic efficiency using suitable data structures. Enhance problem-solving skills related to data storage and retrieval. Why choose this Data Structure course? 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 Diploma in Data Structure at QLS Level 5 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 Data Structure course for? Individuals keen on deepening their computer science foundations. Software developers aiming to optimise their code. Students pursuing computer science and related disciplines. Competitive coders desiring an edge in algorithm competitions. Tech enthusiasts eager to understand the underpinnings of efficient programming. Career path Software Developer: £25,000 - £45,000 Algorithm Engineer: £40,000 - £60,000 Data Scientist: £35,000 - £55,000 Backend Developer: £28,000 - £50,000 Systems Architect: £45,000 - £70,000 Data Engineer: £30,000 - £55,000 Prerequisites This Diploma in Data Structure at QLS Level 5 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Diploma in Data Structure at QLS Level 5 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 £115 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 Unit 01: Introduction Module 01: Promo Video 00:02:00 Module 02: Data Structure Introduction 00:05:00 Module 03: Computational Complexity Analysis 00:13:00 Unit 02: Arrays Module 01: Static and Dynamic Arrays 00:12:00 Module 02: Dynamic Arrays Source Code 00:07:00 Unit 03: Linked List Module 01: Singly and Doubly Linked Lists 00:15:00 Module 02: Doubly Linked Lists Source Code 00:10:00 Unit 04: Stack Module 01: Stack 00:12:00 Module 02: Stack Implementation 00:04:00 Module 03: Stack Source Code 00:04:00 Unit 05: Queues Module 01: Queues (Part-1) 00:06:00 Module 02: Queues (Part-2) 00:06:00 Module 03: Queue Source Code 00:04:00 Unit 06: Priority Queues (PQs) Module 01: Priority Queues (PQs) with an interlude on heaps 00:13:00 Module 02: Turning Min PQ into Max PQ 00:06:00 Module 03: Adding Elements to Binary Heap 00:10:00 Module 04: Removing Elements from Binary Heap 00:14:00 Module 05: Priority Queue Binary Heap Source Code 00:16:00 Unit 07: Union Find Module 01: Disjoint Set 00:06:00 Module 02: Kruskal's Algorithm 00:06:00 Module 03: Union and Find Operations 00:11:00 Module 04: Path Compression Union Find 00:07:00 Module 05: Union Find Source Code 00:08:00 Unit 08: Binary Search Trees Module 01: Binary Trees and Binary Search Trees (BST) 00:13:00 Module 02: Inserting Element into a Binary Search Tree (BST) 00:06:00 Module 03: Removing Element from a Binary Search Tree (BST) 00:14:00 Module 04: Tree Traversals 00:12:00 Module 05: Binary Search Source Code 00:13:00 Unit 09: Fenwick Tree Module 01: Fenwick Tree Construction 00:06:00 Module 02: Point Updates 00:05:00 Module 03: Binary Indexed Tree 00:14:00 Module 04: Fenwick Tree Source Code 00:06:00 Unit 10: Hash Tables Module 01: Hash Table 00:17:00 Module 02: Separate Chaining 00:08:00 Module 03: Separate Chaining Source Code 00:12:00 Module 04: Open Addressing 00:11:00 Module 05: Linear Probing 00:14:00 Module 06: Quadratic Probing 00:09:00 Module 07: Double Hashing 00:15:00 Module 08: Removing Element Open Addressing 00:08:00 Module 09: Open Addressing Code 00:15:00 Unit 11: Suffix Array Module 01: Introduction 00:03:00 Module 02: The Longest Common Prefix (LCP) Array 00:03:00 Module 03: Using SA/LCP Array to Find Unique Substrings 00:05:00 Module 04: Longest Common Substring (LCS) 00:11:00 Module 05: Longest Common Substring (LCS) Full Example 00:07:00 Module 06: Longest Repeated Substring (LRS) 00:05:00 Unit 12: AVL Trees Module 01: Balanced Binary Search Trees (BBSTs) 00:09:00 Module 02: Inserting Elements into an AVL Tree 00:10:00 Module 03: Removing an AVL Tree 00:09:00 Module 04: AVL Tree Source Code 00:17:00 Unit 13: Indexed Priority Queue Module 01: Indexed Priority Queue (Part-1) 00:25:00 Module 02: Indexed Priority Queue Source Code 00:09:00 Unit 14: Sparse Tables Module 01: Sparse Table 00:26:00 Module 02: Sparse Table Source Code 00:07:00 Assignment Assignment - Diploma in Data Structure at QLS Level 5 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

For those interested in the field of genetics and computational biology, who want to gain a deep understanding of the tools and algorithms used in bioinformatics, we have this Bioinformatics & Computational Genomics: Algorithms & Tools course. With the explosion of data in the field of genomics, it can be overwhelming to keep up with the latest tools and techniques in bioinformatics. Without a strong foundation in this field, it can be difficult to navigate the complex algorithms and tools required to make meaningful contributions. Our Bioinformatics & Computational Genomics course provides a comprehensive introduction to the most important algorithms and tools in the field, as well as the latest research in computational genomics. Learning Outcomes: Gain a thorough understanding of the fundamental principles and concepts in bioinformatics and computational genomics. Develop the ability to analyse and interpret genomic data using advanced algorithms and computational tools. Explore the structure and function of proteins, and understand their significance in biological systems. Acquire knowledge of the latest advancements in computational genomics and their application in various research areas. Develop critical thinking skills to tackle complex problems in bioinformatics and propose innovative solutions. Unlock the world of Bioinformatics & Computational Genomics with our comprehensive course. Delve into the fascinating realm of genetic data analysis, algorithms, and tools, and discover how they shape our understanding of complex biological systems. Throughout this immersive learning experience, you will explore diverse topics, including computational genomics, protein structure and function, and applied bioinformatics. With a strong focus on theoretical concepts, this course equips you with the essential knowledge to navigate the vast landscape of bioinformatics research. Embark on a transformative journey as you unravel the mysteries hidden within the genomes. Our carefully designed curriculum covers the key principles, algorithms, and tools that drive breakthroughs in bioinformatics. By delving into the intricacies of genomic data analysis, you will gain valuable insights into the structure and function of proteins, enabling you to decipher the language of life at a molecular level. Immerse yourself in the world of computational genomics and embrace the power of algorithms in unlocking the secrets of genetic information. This course is tailored for individuals passionate about genomics and computational biology. Whether you're an aspiring researcher, a healthcare professional, or a biology enthusiast, this course will ignite your curiosity and expand your horizons. No prior knowledge of bioinformatics is required, as we provide a solid foundation to help you navigate this captivating field. Enrol in the course right now! Certification Upon completion of the Bioinformatics & Computational Genomics: Algorithms & Tools course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The target audience for the course is: Researchers looking to enhance their knowledge and expertise in bioinformatics and computational genomics. Healthcare professionals interested in understanding the computational aspects of genomics and its applications. Biology students seeking to explore the intersection of biology and computer science. Enthusiasts eager to unravel the mysteries of genomics and gain a deeper understanding of the computational tools used in bioinformatics. Career path Some of the career paths related to this field are: Bioinformatics Analyst: £30,000 - £50,000 per annum Computational Genomics Researcher: £35,000 - £60,000 per annum Data Scientist (Genomics) £40,000 - £70,000 per annum Genomic Data Analyst: £35,000 - £55,000 per annum Bioinformatics Software Developer: £40,000 - £65,000 per annum Academic Researcher (Bioinformatics): £35,000 - £70,000 per annum