2947 Engineer courses in Colwyn Bay delivered On Demand

Unleash your potential in the world of precision machining with our QLS Level 3 CNC (Computer Numerical Control) Programming for Machining course. Dive into a curriculum meticulously crafted to equip learners with the skills needed to navigate the intricacies of CNC systems. From understanding the fundamentals of numerical control to delving into the programming formats and applications of CNC machines, this course provides a comprehensive foundation for mastering the art of CNC machining. In a creative and engaging approach, we invite learners to embark on a journey where each module unfolds the secrets of CNC programming, empowering you to write intricate programs and harness the power of CNC technology. Learning Outcomes: Grasp the scope and significance of CNC programming in the realm of machining. Understand the numerical control of machine tools and the components integral to CNC systems. Differentiate between point-to-point, incremental, and absolute CNC machines. Explore the intricacies of open and closed control loop CNC machines, as well as 2 and 3 axes CNC machines. Acquire proficiency in writing CNC programs using the Cartesian coordinate system, mastering both absolute and incremental modes. Why choose this CNC (Computer Numerical Control) Programming for Machining at QLS Level 3 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 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 CNC (Computer Numerical Control) Programming for Machining at QLS Level 3 course for? Individuals aspiring to specialize in CNC programming for machining. Engineering students seeking a foundational understanding of CNC systems. Machinists and technicians aiming to enhance their skill set in numerical control. Professionals in the manufacturing sector looking to upgrade their knowledge of CNC technology. Enthusiasts eager to explore the applications of CNC machines in precision machining. Career path CNC Programmer: £25,000 - £35,000 Machining Technician: £20,000 - £30,000 CNC Machine Operator: £18,000 - £25,000 Manufacturing Engineer: £30,000 - £40,000 Quality Control Inspector: £22,000 - £28,000 Production Supervisor: £25,000 - £35,000 Prerequisites This CNC (Computer Numerical Control) Programming for Machining at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This CNC (Computer Numerical Control) Programming for Machining at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum CNC (Computer Numerical Control) Programming for Machining at QLS Level 3 Module 1: Scope of the Course 00:03:00 Module 2: Numerical Control of Machine Tools 00:04:00 Module 3: CNC- Computer Numerical Control Syst 00:02:00 Module 4: Components of CNCs 00:04:00 Module 5: Point to Point CNC Machines 00:03:00 Module 6: Incremental & Absolute CNC Machines 00:03:00 Module 7: Open & Close Control Loop CNC Machines 00:02:00 Module 8: 2 &3 Axes CNC Machines 00:02:00 Module 9: Importance of Higher axes Machining 00:02:00 Module 10: Programming Format 00:06:00 Module 11: Cartesian Coordinate System 00:03:00 Module 12: How to Write a Program 00:08:00 Module 13: Basic CNC Programming (Absolute Mode) 00:09:00 Module 14: Basic CNC Programming (Incremental) 00:04:00 Module 15: A Simple Coding Exercise 00:17:00 Module 16: Applications of CNC 00:07:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Description: This course will greatly benefit anyone wishing to learn the fundamentals of computer operating systems, PC attributes, Microsoft Windows, MAC OS, UNIX, LINUX, GNU etc. This course will answer why administrators must see how Information Technology assumes a major part in both the structure and control of the current business. A fruitful administrator must have a great handle on the usefulness, abilities, and impacts of the innovation that he or she should actualise and oversee. This online course displays a variety of the centre ideas of Information Technology administration. The course will survey such key territories as corporate structures, programming, databases, data frameworks, interchanges and administration of workforce in connection to innovation and from the perspective of the business director. This course is perfect for administration experts who wish to pick up a top to the bottom comprehension of the administration of Information Technology in the advanced partnership.  Who is the course for? Beginner to advanced level users can benefit from the lessons we provide. People who have an interest in learning about computer and computer maintenance. 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. Assessment:  At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam.  Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Computer Operating Systems Diploma Course is a very useful qualification to possess, and will be very helpful to have especially for these careers: Computer Maintenance Staff IT Department Manager IT Specialists Computer Engineer Computer Specialist And Other Computer Operation-related jobs! Computer Fundamentals Basic Terms 00:15:00 Types of Computers 00:15:00 Anatomy of a PC 00:30:00 How a PC Works 00:15:00 CPU and Memory 00:30:00 Input Devices 00:15:00 Output Devices 00:15:00 Secondary Storage Devices 00:30:00 The Basics 00:15:00 Operating Systems and Applications 00:30:00 How is Software Built 00:15:00 Types of Software 00:15:00 Legal Issues 00:15:00 Computer Operating Systems Introduction 00:30:00 WHAT IS AN OPERATING SYSTEM? 01:00:00 HISTORY OF OPERATING SYSTEMS 01:00:00 WHAT AN OPERATING SYSTEM DOES 02:00:00 MICROSOFT WINDOWS 02:00:00 MAC OS 01:00:00 UNIX 01:00:00 LINUX 01:00:00 GNU-1 00:30:00 OTHER OPERATING SYSTEMS 02:00:00 INSTALLING AN OPERATING SYSTEM 01:00:00 DEFINING THE PROCESSES 02:00:00 CONCLUSION 00:15:00 Windows 8 Module One - Getting Started 00:30:00 Module Two - Welcome to Windows 8 01:00:00 Module Three - Using Apps 00:30:00 Module Four - Working with the Desktop 00:30:00 Module Five - Using the Taskbar 00:30:00 Module Six - Working with the Charms Bar 01:00:00 Module Seven - Managing Your Files and Folders 01:00:00 Module Eight - Networking and Devices 00:30:00 Module Nine - Working with Settings and the Control Panel 01:00:00 Module Ten - Personalizing Windows 8 01:00:00 Module Eleven - Understanding Security and Maintenance 00:30:00 Module Twelve - Wrapping Up 00:30:00 Mac Operating System Introduction to Mac 01:00:00 Features of Mac Desktops 01:00:00 Networking System of Mac 01:00:00 Types of Mac 01:00:00 Mac your way to cyberspace 00:30:00 Benefits of Using Mac 01:00:00 How to print & fax using Mac 01:00:00 Managing music with iTunes 01:00:00 Having fun with photos 01:00:00 Mock Exam Mock Exam- Computer Operating Systems Diploma 00:30:00 Final Exam Final Exam- Computer Operating Systems Diploma 00:30:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

The course covers data science and machine learning with R.

In this course, you will learn how to create your own Azure Functions apps and visualize how full applications can be built using Azure Functions. We will also explore the tools needed to support development, both locally and in the Azure portal, and explore the different triggers, bindings, and deployment models that are possible.

In this course, you will learn to use ASP.NET Core MVC to build cross-platform web applications that can run on any operating system, including Windows, Linux, and macOS. A carefully designed course to provide a comprehensive overview of ASP.NET Core MVC and help you become proficient in its use.

Overview With the ever-increasing demand for Biomedical Engineering in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Biomedical Engineering may be. Learning about Biomedical Engineering or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Biomedical Engineering . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Biomedical Engineering is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates. The self-paced online learning methodology by compete high in this Biomedical Engineering course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course! Instead of searching for hours, enrol right away on this Biomedical Engineering course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run. Who is this course for? While we refrain from discouraging anyone wanting to do this Biomedical Engineering course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Biomedical Engineering , Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Biomedical Engineering , Anyone looking for a certificate of completion on doing an online training on this topic, Students of Biomedical Engineering , or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This Biomedical Engineering course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams. Course Curriculum Biomedical Engineering Biomedical Engineering 00:00 Module 01 Human Anatomy and Physiology Human Anatomy and Physiology 00:00 Module 02 Biomedical Science Biomedical Science 00:00 Module 03 Biomedical Sensors Biomedical Sensors 00:00 Module 04 Epidemiology Epidemiology 00:00 Module 05 Bioinstrumentation Bioinstrumentation 00:00 Module 06 Medical Imaging Medical Imaging 00:00 Module 07 Biomaterials Biomaterials 00:00 Module 08 COSHH Awareness COSHH Awareness 00:00

This course equips learners with a comprehensive understanding of the NumPy stack, including NumPy, Matplotlib, Pandas, and SciPy, to effectively tackle common challenges in deep learning and data science. Master the basics with this carefully structured course.

In the modern world, the CAD Designer course holds immense significance, serving as a gateway to lucrative career opportunities, particularly in the United Kingdom. CAD, or Computer-Aided Design, has become indispensable across various industries, from architecture to engineering, as it revolutionizes the way designs are conceptualized and brought to life. Learning AutoCAD and CAD skills through this comprehensive curriculum not only equips individuals with the fundamentals of CAD design but also hones their abilities in 2D and 3D modeling, geometry, assemblies, and various software platforms like SolidWorks and FreeCAD. In the UK job market, proficiency in CAD design opens doors to a multitude of roles with competitive salaries. Entry-level CAD designers can expect to earn around £25,000 per annum, with experienced professionals commanding salaries upwards of £40,000. The demand for CAD designers is on the rise, with a projected increase of 9% in job opportunities, reflecting the growing reliance on digital design technologies across industries. Thus, investing in this CAD Designer course not only augments one's skill set but also secures a promising career trajectory in a dynamic and expanding sector. Key Features: CPD Certified AutoCAD Designer Course Free Certificate Developed by Specialist Lifetime Access Course Curriculum Module 01: Introduction to CAD Design Module 02: CAD Designer Career in the United Kingdom Module 03: Basics for CAD Design - Part 1 Module 04: Basics for CAD Design - Part 2 Module 05: 2D Shape in CAD Module 06: 3D Shape in CAD Module 07: Geometry and Modelling Module 08: Assemblies in CAD Design Module 09: Extrusion and Rotations Module 10: Blending Operations in CAD Module 11: Grids and Regular Polygons Module 12: Parameters in Civil Drawings Module 13: Introduction to AutoCAD Module 14: Introduction to T-Flex CAD Module 15: Introduction to SolidWorks Module 16: Introduction to FreeCAD Learning Outcomes: Master 2D and 3D shape creation techniques using CAD software. Understand geometric principles and apply them to modelling projects effectively. Learn assembly techniques to construct complex designs efficiently. Develop proficiency in extrusion, rotation, and blending operations within CAD. Gain expertise in creating regular polygons and grids for precision drafting. Acquire essential skills in using AutoCAD, T-Flex CAD, and SolidWorks software. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This CAD Designer course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of CAD Designer. Moreover, this course is ideal for: Aspiring CAD designers seeking comprehensive software proficiency. Individuals interested in pursuing a career in engineering or architecture. Students aiming to enhance their technical drawing and modelling abilities. Professionals looking to expand their skill set in computer-aided design. Anyone keen on mastering CAD software for personal or professional projects. Requirements There are no requirements needed to enrol into this CAD Designer course. We welcome individuals from all backgrounds and levels of experience to enrol into this CAD Designer course. Career path After finishing this CAD Designer course you will have multiple job opportunities waiting for you. Some of the the following Job sectors of CAD Designer are: CAD Technician - £20K to £35K/year. Design Engineer - £25K to £45K/year. Architectural Technologist - £22K to £40K/year. Mechanical Designer - £23K to £45K/year. Product Designer - £22K to £40K/year. Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Highlights of the Course Course Type: Online Learning Duration: 45 minutes Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about electrical safety Understand the core competencies and principles of electrical safety Explore the various areas of electrical safety Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert electrician, electrical engineer or technicians Electrical Safety Training This electrical safety course is accredited by the CPD 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. This Electrical Safety Training 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. Electricity is the lifeblood of modern society, it enhances our quality of life and we are becoming increasingly reliant on it to power tools and devices we use for work and entertainment. However, although electricity has many benefits it can also be a hidden killer as it can't be seen, felt, smelled or heard until someone comes into contact with it. This electrical safety course will start by covering the many benefits electricity brings to society, as well as its key components voltage, current and resistance. It will explain the two main types of electricity, cover UK accident and death statistics, and describe a simple way of remembering the electrical hazards. It then goes on to provide basic instructions about how you could safely help someone you suspect has received an electric shock. Towards the end of the course it includes an overview of the main standards, guidance and legislation that control the use of electricity in the workplace, and finish off by looking at simple maintenance plans and portable appliance testing including who within an organisation would be best to carry out the various checks. This Electrical Safety Training course has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course is not regulated by Ofqual and is not an accredited qualification. Who is this Course for? This comprehensive Electrical Safety Training course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this electrical safety can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This Electrical Safety Training course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This Electrical Safety Training 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%. Advance Your Career This Electrical Safety Training course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. 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 Module 1: Overview and Benefits of Electricity Module 2: What is Electricity? Module 3: How Electricity Can Cause Harm Module 4: Legislation, Standards and Key Steps Module 5: PAT Testing Standards and Guidance Obtain Your Certificate of Achievement Order Your Certificate of Achievement 00:00:00

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.