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The main subject areas of the course are: Legislation and guidance for asbestos practitioners. The properties of asbestos and health effects of exposure to asbestos fibres. The types of asbestos and its uses in buildings. The types of asbestos surveys. The asbestos register, risk assessment and management plan. Asbestos remediation. The role of asbestos analysts and laboratory procedures.

Start your teaching career now. Self study, virtual and classroom courses. Are you ready to embark on an exciting journey into the world of teaching and training? Whether you aspire to teach in the Further Education & Skills Sector or deliver training in the workplace, our Level 3 Award in Education and Training (formerly known as PTLLS) is your gateway to success.

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents, and interests with our special NCFE Level 5 Diploma in Education and Training Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides the professional training that employers are looking for in today's workplaces. The NCFE Level 5 Diploma in Education and Training Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This NCFE Level 5 Diploma in Education and Training Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This NCFE Level 5 Diploma in Education and Training Course, like every one of Skillwise's courses, is meticulously developed and well-researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this NCFE Level 5 Diploma in Education and Training? Unlimited access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standard-accredited qualifications after course completion Receive one-to-one assistance 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 NCFE Level 5 Diploma in Education and Training there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This NCFE Level 5 Diploma in Education and Training course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skills. Prerequisites This NCFE Level 5 Diploma in Education and Training does not require you to have any prior qualifications or experience. You can just enroll and start learning. This NCFE Level 5 Diploma in Education and Training was made by professionals and it is compatible with all PCs, Macs, 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 As this course comes with multiple courses included as a bonus, you will be able to pursue multiple occupations. This NCFE Level 5 Diploma in Education and Training is a great way for you to gain multiple skills from the comfort of your home.  

***24 Hour Limited Time Flash Sale*** Branding Business, Strategic Marketing and Creating Sales Funnels Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Do you dream of a thriving business with a strong brand identity? Did you know that according to the Confederation of British Industry, 88% of UK consumers would pay more for a product from a brand they trust? Building a strong brand and mastering the art of sales funnels is key to achieving this. In this comprehensive course bundle, you'll gain the knowledge and skills to not only develop a brand that resonates with your target audience but also craft strategic marketing plans and design high-converting sales funnels to turn interest into sales. This training bundle equips you with everything you need to take your business to the next level. You'll learn how to define your brand identity, conduct market research, develop a winning marketing strategy, and build effective sales funnels using industry-leading tools like ClickFunnels. Additionally, you'll gain valuable insights into business law, hone your sales negotiation skills, and leverage LinkedIn for powerful lead generation. Key Features of the Branding Business, Strategic Marketing and Creating Sales Funnels Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Branding Business, Strategic Marketing and Creating Sales Funnels bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Branding Your Business QLS Course 02: Business Marketing QLS Course 03: Sales Management 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Business Management Course 02: How To Build Sales Funnels With ClickFunnels Course 03: Sales & Negotiation Skills Course 04: Business Law Course 05: The #1 LinkedIn Marketing & Sales Lead Generation Blueprint In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Branding Business, Strategic Marketing and Creating Sales Funnels courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Craft a compelling brand story that connects with your target audience. Develop a data-driven marketing plan to reach the right customers. Design high-converting sales funnels that nurture leads and drive sales. Master the art of negotiation to close more deals and boost your profits. Leverage the power of LinkedIn to generate qualified leads and grow your network. Gain a solid understanding of business law to operate your business with confidence. Why Choose Us? Get a Free CPD Accredited Certificate upon completion of Branding Business Get a free student ID card with Branding Business Training program (£10 postal charge will be applicable for international delivery) The Branding Business is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Branding Business course materials The Branding Business comes with 24/7 tutor support Start your learning journey straight away! ****Course Curriculum**** QLS Course 01: Branding Your Business Section 01 1.1 Introduction 1.2 Why Do People Buy? Section 02 2.1 Standout as a Business Owner 2.2. Hybrid Model 2.3. Character Typology 2.4 Ikigai 2.5. BHAG Section 03 3.1 Values 3.2 Abilities 3.3 Mission 3.4 Vision 3.5 How to Use Mission and Vision Section 04 4.1. What are Archetypes 4.2. Paradise Archetypes 4.3. Structure Bringer Archetypes 4.4. Connection Seeker Archetypes 4.5. Mark Leaver Archetypes Section 05 5.1. Importance of Naming 5.2. Basic Naming Approaches 5.3. Special Circumstances on Naming 5.4. Naming for Solopreneurs 5.5. Brand Architecture Section 06 6.1. The Importance of Storytelling 6.2. How to Write and Use a Brand Story Section 07 7.1. What is a Visual Identity 7.2. Visual Identity Booklet 7.3. Working with a designer and Final Notes QLS Course 02: Business Marketing Module 01: Basics of Marketing Module 02: The Marketing Process Module 03: Strategic Marketing Module 04: Marketing Environment Module 05: Market Segmentations Module 06: Consumer Buying Behaviour Module 07: Business Markets and Buying Behaviour Module 08: Marketing Research Module 09: Product Strategy Module 10: Branding Strategy Module 11: Product Life Cycle Module 12: Pricing Strategy Module 13: Marketing Channels Module 14: Integrated Marketing Communications Module 15: Advertising and Sales Promotion Module 16: Personal Selling and Public Relations Module 17: Direct and Digital Marketing QLS Course 03: Sales Management Module One: Understanding The Talk Module Two: Getting Prepared To Make The Call Module Three: Creative Openings Module Four: Making Your Pitch Module Five: Handling Objections Module Six: Sealing The Deal Module Seven: Following Up Module Eight: Setting Goals Module Nine: Managing Your Data Module Ten: Using A Prospect Board =========>>>>> And 10 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*11 = £168) QLS Endorsed Hard Copy Certificate: Free (For The 3 QLS Course: Previously it was £119*3 =357 ) CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Entrepreneurs and business owners seeking to enhance their business skills. Marketing professionals looking for a comprehensive theoretical understanding of their field. Individuals aiming to step into the business world. Students studying business, marketing, or related fields, seeking to supplement their theoretical knowledge. Requirements You will not need any prior background or expertise to enrol in this bundle. Career path Business Owner - average salary range: £25,000 - £100,000+ Brand Manager - average salary range: £35,000 - £65,000 Strategic Marketing Manager - average salary range: £45,000 - £70,000 Sales Funnel Consultant - average salary range: £30,000 - £60,000 Business Consultant - average salary range: £40,000 - £80,000 LinkedIn Sales and Marketing Lead - average salary range: £30,000 - £55,000 Certificates Advanced Diploma in Business Marketing at QLS Level 7 Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee. Award in Sales Management at QLS Level 2 Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee. CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free.

Level 3, 4 & 5 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 10 CPD Courses | Lifetime Access

Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified Renewable Energy Complete Course bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our 30 course mega bundle that will exceed your expectations within your budget. The Renewable Energy Complete Course related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then StudyHub proposes a preparatory bundle. This comprehensive Renewable Energy Complete Course bundle will help you build a solid foundation to become a proficient worker in the sector. This Renewable Energy Complete Course Bundle consists of the following 25 CPD Accredited Premium courses - Course 1: Solar Energy Course 2: Sustainable Energy, Development and Environmental Impacts Course 3: Oil and Gas Industry Course 4: Petroleum Refining Demystified Course 5: Online Course in Conservation Course 6: Environment Management Course 7: Environmental Health Course 8: Environmental Law 2021 Course 9: Meteorology Course 10: Land Management Course 11: Diploma in Water Treatment Course 12: Forestry Course 13: Agricultural Science Course 14: Botany Course 15: Wildlife Rescue and Rehabilitation Course 16: Architectural Studies Course 17: Cleaning: Disinfection, Waste Management and Chemical Safety Course 18: COSHH (Control of Substances Hazardous to Health) - Awareness Course 19: Spill Management Training Course 20: Horticulture & Organic Gardening Course 21: Homesteading Diploma Course 22: Floristry Academy Diploma Course 23: Arboriculture Course 24: Marine Biology Course - Online Diploma Course 25: Garden Design Course 26: Escaping Consumerism Course 27: Administration of Emergency Medical Gases Course 28: Accredited level 3 Oceanography Diploma Course 29: Hydrogen Sulphide Training: Safety and Awareness in Hazardous Environments Course 30: Public Realm Manager's Guide: Urban Planning and Management Course 31: Solar & Thermal Energy: Harnessing Renewable Power Sources Course 32: Sustainable Management of Renewable Energy Resources 5 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques- Course 1: Career Development Plan Fundamentals Course 2: CV Writing and Job Searching Course 3: Interview Skills: Ace the Interview Course 4: Video Job Interview for Job Seekers Course 5: Create a Professional LinkedIn Profile Learning Outcome This tailor-made Renewable Energy Complete Course bundle will allow you to- Uncover your skills and aptitudes to break new ground in the related fields Deep dive into the fundamental knowledge Acquire some hard and soft skills in this area Gain some transferable skills to elevate your performance Maintain good report with your clients and staff Gain necessary office skills and be tech savvy utilising relevant software Keep records of your work and make a report Know the regulations around this area Reinforce your career with specific knowledge of this field Know your legal and ethical responsibility as a professional in the related field Course 1: Solar Energy Understand the principles of solar energy generation and its applications in various sectors. Learn to design and implement solar energy systems, including photovoltaic and solar thermal systems. Gain knowledge about the environmental and economic benefits of solar energy and its role in sustainable development. Course 2: Sustainable Energy, Development and Environmental Impacts Explore the concept of sustainable energy and its significance in addressing environmental challenges. Analyze the environmental impacts of different energy sources and their contribution to sustainable development. Develop strategies for promoting sustainable energy practices in various industries. Course 3: Oil and Gas Industry Gain insights into the fundamentals of the oil and gas industry, including exploration, production, and distribution. Understand the economic and geopolitical factors influencing the global oil and gas market. Learn about environmental regulations and sustainability practices within the industry. Course 4: Petroleum Refining Demystified Comprehend the processes involved in petroleum refining and its role in producing various fuel products. Analyze the challenges and technologies associated with cleaner and more efficient refining. Gain knowledge of safety measures and environmental considerations in petroleum refining. This Renewable Energy Complete Course Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments. Course 5: Online Course in Conservation Learn about the principles and methods of conservation biology and ecology. Understand the importance of biodiversity conservation and ecosystem management. Explore practical approaches to conserving natural resources and protecting endangered species. Course 6: Environment Management Develop skills in environmental management, including planning, monitoring, and assessment. Explore strategies for sustainable resource use and pollution control. Understand the regulatory frameworks and compliance requirements in environmental management. Course 7: Environmental Health Gain knowledge of environmental factors that impact public health. Learn about epidemiological methods for assessing and managing environmental health risks. Explore strategies for improving air and water quality and preventing environmental-related diseases. Course 8: Environmental Law 2021 Understand the legal frameworks and regulations governing environmental protection. Analyze case studies and recent developments in environmental law. Learn about compliance, enforcement, and the role of stakeholders in environmental legal issues. Course 9: Meteorology Acquire a foundational understanding of meteorology and weather forecasting. Learn about the science behind atmospheric phenomena and climate patterns. Explore the practical applications of meteorology in various industries. Course 10: Land Management Develop skills in land use planning, conservation, and sustainable land management. Learn about land tenure systems, property rights, and land-related policies. Explore techniques for land assessment, soil conservation, and land-use decision-making. Course 11: Diploma in Water Treatment Understand the principles of water treatment processes and their importance in ensuring clean and safe drinking water. Gain knowledge of various water treatment technologies and their applications in addressing water quality issues. Learn about the regulatory standards and quality control measures in water treatment. Course 12: Forestry Develop an understanding of forestry practices, including tree cultivation, maintenance, and sustainable harvesting. Explore the ecological and environmental aspects of forest ecosystems and biodiversity conservation. Learn about forestry management strategies and their role in sustainable resource utilization. Course 13: Agricultural Science Gain insights into the science of agriculture, including crop cultivation, soil management, and pest control. Understand the principles of sustainable farming and the use of technology in modern agriculture. Explore the challenges and opportunities in the agricultural sector. Course 14: Botany Study the fundamentals of botany, including plant anatomy, physiology, and taxonomy. Learn about plant diversity and the role of plants in ecosystems and human societies. Explore the applications of botany in fields such as agriculture, medicine, and conservation. Course 15: Wildlife Rescue and Rehabilitation Develop skills in rescuing and caring for injured or orphaned wildlife. Learn about wildlife rehabilitation techniques and ethical considerations. Understand the legal and regulatory aspects of wildlife rescue and rehabilitation. Course 16: Architectural Studies Explore the principles of architectural design, construction, and planning. Gain knowledge of architectural history and various architectural styles. Learn about sustainable architecture and its role in contemporary design. Course 17: Cleaning: Disinfection, Waste Management and Chemical Safety Understand the importance of cleaning, disinfection, and waste management in various settings. Learn about safe handling of chemicals and hazardous substances. Explore best practices for maintaining cleanliness and hygiene. Course 18: COSHH (Control of Substances Hazardous to Health) - Awareness Gain awareness of the COSHH regulations and their significance in workplace safety. Learn to identify hazardous substances and assess associated risks. Understand the measures and controls for safe handling of hazardous materials. Course 19: Spill Management Training Develop skills in responding to chemical spills and hazardous material incidents. Learn about containment and cleanup procedures for different types of spills. Understand the importance of risk assessment and prevention in spill management. Course 20: Horticulture & Organic Gardening Explore the principles of horticulture and organic gardening practices. Learn about plant propagation, soil health, and sustainable gardening techniques. Gain knowledge of organic pest control and environmentally friendly gardening. Course 21: Homesteading Diploma Gain knowledge and practical skills related to homesteading, including food production, self-sufficiency, and sustainable living. Learn about the principles of permaculture and how to create a self-sustaining homestead. Understand the basics of animal husbandry, crop cultivation, and homestead design. Course 22: Floristry Academy Diploma Develop expertise in floral design, arranging, and creating stunning flower arrangements. Learn about the different types of flowers, foliage, and their care and maintenance. Explore the art of floristry for various occasions, from weddings to special events. Course 23: Arboriculture Understand the science and practice of arboriculture, including tree care, maintenance, and preservation. Learn about tree biology, pruning techniques, and risk assessment in tree management. Gain knowledge of urban forestry and the importance of trees in urban environments. Course 24: Marine Biology Course - Online Diploma Explore marine ecosystems, biodiversity, and the role of marine organisms in aquatic environments. Learn about marine conservation, environmental threats, and the importance of protecting marine life. Gain insights into the field of marine biology and its relevance in scientific research. Course 25: Garden Design Develop skills in garden design, landscape planning, and creating outdoor spaces. Learn about garden styles, plant selection, and principles of garden aesthetics. Understand the practical aspects of garden construction and maintenance. Course 26: Escaping Consumerism Explore the concept of consumerism and its impact on individuals and society. Learn strategies for reducing consumption, living more sustainably, and embracing minimalism. Gain insights into the benefits of conscious consumer choices and alternative lifestyles. Certification After studying the complete Renewable Energy Complete Course training materials, 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 free. Original Hard Copy certificates need to be ordered at an additional cost of •8. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Course 27: Administration of Emergency Medical Gases Acquire knowledge of emergency medical gases, their uses, and safe administration. Learn about the regulatory requirements and guidelines for handling medical gases in emergencies. Develop skills in responding to medical emergencies that require the use of medical gases. Course 28: Accredited level 3 Oceanography Diploma Explore the field of oceanography, including ocean dynamics, marine ecosystems, and climate science. Gain knowledge of oceanographic research methods and data analysis techniques. Understand the role of oceanography in addressing environmental challenges. Course 29: Hydrogen Sulphide Training: Safety and Awareness in Hazardous Environments Learn about the properties of hydrogen sulphide (H2S) and its hazards in industrial environments. Acquire skills in detecting, preventing, and responding to H2S emergencies. Understand safety protocols and equipment used in H2S-prone settings. Course 30: Public Realm Manager's Guide: Urban Planning and Management Explore urban planning principles, city management, and the role of public realm managers. Learn about urban design, public spaces, and strategies for enhancing the quality of urban life. Gain insights into sustainable urban development and effective public realm management. Course 31: Solar & Thermal Energy: Harnessing Renewable Power Sources Understand the principles of solar and thermal energy generation and their applications. Learn about renewable energy technologies, including solar panels and thermal systems. Explore the benefits of harnessing solar and thermal energy for sustainable power generation. Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Renewable Energy Complete Course bundle! This bundle is also ideal for professionals looking for career advancement. Renewable Energy Researcher Clean Energy Advocate Solar Installation Manager Wind Farm Operations Manager Biomass Energy Developer Climate Change Analyst Sustainability Director Renewable Energy Auditor Biofuel Production Technician Solar Panel Inspector Green Supply Chain Manager Energy Policy Analyst Wind Turbine Designer Solar Project Coordinator Energy Storage Specialist Geothermal Plant Operator Hydropower Plant Manager Environmental Consultant Renewable Energy Consultant Clean Energy Project Manager Sustainable Architecture Designer Energy Efficiency Engineer Renewable Energy Planner Carbon Emissions Analyst Biomass Fuel Technician Solar Power Plant Manager Wind Energy Researcher Energy Management Analyst Renewable Energy Technician Bioenergy Analyst Solar Power Systems Designer Wind Turbine Maintenance Technician Hydropower Systems Engineer Environmental Scientist Sustainable Business Manager Green Energy Policy Advisor Wind Turbine Blade Technician Solar Energy Systems Engineer Sustainable Transportation Planner Renewable Energy Sales Representative Biomass Energy Systems Designer Carbon Offset Specialist Climate Risk Analyst Geothermal Energy Researcher Energy Efficiency Consultant Solar Energy Analyst Green Building Project Manager Wind Turbine Tower Technician Hydropower Plant Engineer Environmental Educator Clean Energy Investment Analyst Renewable Energy Project Developer Sustainable Product Designer Green Supply Chain Analyst Energy Policy Researcher Wind Energy Systems Engineer Solar Panel Manufacturing Technician Biofuel Production Engineer Energy Efficiency Auditor Hydropower Project Coordinator Environmental Impact Analyst Sustainable Agriculture Specialist Renewable Energy Market Analyst Biomass Power Plant Manager Solar Energy Systems Installer Wind Farm Construction Manager Green Energy Consultant Wind Turbine Systems Engineer Requirements Course 32: Sustainable Management of Renewable Energy Resources Develop expertise in the sustainable management of renewable energy sources. Learn about energy policy, renewable energy systems, and their environmental impact. Explore strategies for integrating renewable energy into existing energy grids and systems. Career path Renewable Energy Engineer Solar Power Technician Wind Turbine Technician Biomass Plant Operator Energy Analyst Energy Consultant Sustainability Coordinator Solar Sales Consultant Wind Energy Project Manager Green Building Consultant Energy Efficiency Specialist Geothermal Technician Hydropower Engineer Environmental Compliance Analyst

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.