7793 Courses

Are you looking to enhance your communication skills within the healthcare field? Our comprehensive course, "English for Healthcare Roles," is meticulously crafted to empower healthcare professionals with essential language tools and specialized knowledge. Whether you're a nurse, medical assistant, or healthcare administrator, mastering effective communication is crucial. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access In the "English for Healthcare Roles" course, learners will gain essential knowledge to communicate effectively in healthcare settings. They will develop a strong grasp of human anatomy and medical terminology, enabling them to discuss body systems such as the cardiovascular, respiratory, digestive, musculoskeletal, central nervous, and immune systems. Learners will also become familiar with medical equipment, instruments, and laboratory tests commonly used in healthcare practices. The course emphasizes adapting communication to meet patients' needs, teaching interviewing techniques, and fostering professional communication and behavior. By the end, learners will be equipped with the language skills and confidence to interact professionally with patients, colleagues, and healthcare professionals in a variety of medical contexts. Course Curriculum Module 01: Human Body Vocabulary With Pictures Module 02: Cardiovascular System Module 03: Respiratory System Module 04: Digestive System Module 05: Musculoskeletal System Module 06: Central Nervous System Module 07: Blood and Immunity System Module 08: Equipment, Instrument and Lab Test Module 09: Acronyms and Abbreviation Module 10: Adapting Communication to a Patient's Ability to Understand Module 11: Interviewing Techniques Module 12: Professional Communication and Behaviour Learning Outcomes Identify human body parts using illustrated vocabulary. Explain cardiovascular, respiratory, and digestive systems' functions concisely. Describe musculoskeletal and central nervous systems' basic structures accurately. Outline blood and immunity systems' roles in human health comprehensively. Recognize medical equipment, instruments, and laboratory tests efficiently. Adapt communication to patient understanding levels effectively in healthcare settings. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Healthcare students needing foundational English language skills. Medical professionals enhancing communication in clinical environments. Foreign healthcare workers improving English proficiency. Health educators teaching medical terminology and patient interaction. Non-native English speakers aiming for healthcare roles in the UK. Career path Healthcare Assistant Medical Receptionist Phlebotomist Physiotherapy Assistant Clinical Support Worker Medical Laboratory Assistant Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Are you ready to delve into the intricate world of mental health and substance use disorders? Introducing our comprehensive "Weight Loss Management Course," designed to equip you with the knowledge and skills needed to navigate the complexities of dual diagnosis. Key Features: CPD Certified Developed by Specialist Lifetime Access In this course, learners explore mental health and how it affects people. They learn about the brain and how it works, understanding the connection between brain function and mental health. There's a focus on drugs and their impact on mental health, including how different substances affect the brain and behavior. Learners also delve into various models of care for people with dual diagnosis, understanding different approaches to treatment. They explore ethical issues related to mental health and the laws that protect individuals. Harm minimization strategies and the importance of overall health are emphasized. Learners also gain skills in assessing individuals with dual diagnosis and learn about psychological interventions and treatment options available. Finally, they examine current practices and policies in the field, recognizing the challenges and opportunities in addressing dual diagnosis in today's world. Course Curriculum Module 01: Mental Health An Introduction Module 02: Brain Works - Neurophysiology Module 03: Drugs and Their Effects Module 04: Models of Care and Dual Diagnosis Module 05: Ethical Issues and Mental Health Act Module 06: Harm Minimisation and Optical Health Module 07: The Assessment Process in Dual Diagnosis Module 08: Psychological Interventions in Dual Diagnosis Module 09: Treatment in Dual Diagnosis Module 10: Practice and Policy Issues Module 11: Dual Diagnosis A Challenge of New Era Learning Outcomes: Understand basic concepts of mental health and neurophysiology. Identify various drugs and their effects on the brain. Recognise models of care relevant to dual diagnosis. Discuss ethical issues and the Mental Health Act. Implement harm minimisation strategies in optical health. Assess and apply psychological interventions in dual diagnosis treatment. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Health care workers in mental health services. Social workers dealing with substance misuse. Nurses specialising in dual diagnosis treatment. Psychologists focusing on mental health and addiction. Policy makers in health and social care sectors. Career path Mental Health Support Worker Substance Misuse Worker Dual Diagnosis Practitioner Community Mental Health Nurse Social Care Coordinator Policy Advisor in Mental Health Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Are you passionate about the culinary arts and dream of running your own restaurant? Our comprehensive Restaurant Management Training course equips you with essential skills and knowledge to succeed in the dynamic hospitality industry. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access In the Restaurant Management Training course, learners will gain comprehensive skills essential for running a successful restaurant business. They will understand the dynamics of the restaurant industry, from choosing the right location to managing finances and using technology for efficient service. Participants will learn to strategically plan menus and effectively manage drink offerings. The course covers crucial aspects like handling inventory, purchasing, and storage, ensuring smooth operations. Learners will also develop skills in recruiting and training staff, fostering excellent customer relations, and implementing effective marketing strategies. Understanding legal requirements and maintaining a safe, clean environment will be emphasized. By the end of the course, participants will be equipped with the knowledge to manage restaurant layouts efficiently and establish daily routines that promote teamwork and operational excellence. Course Curriculum Module 01: An Overview of the Restaurant Industry Module 02: Choosing Your Restaurant Module 03: Financing Your Business Module 04: Handling Service Using Technology Module 05: Menu Planning Module 06: Drinks Management Module 07: Purchasing, Receiving, Inventory, and Storage Module 08: Finding, Recruiting, and Training Employees Module 09: Customer Relations and Marketing Policy Module 10: Restaurant Layout Management and Legal Requirements Module 11: Running a Safe and Clean Restaurant Module 12: Teamwork and Daily Routine of a Restaurant Learning Outcomes Understand the restaurant industry's key aspects and operational dynamics. Identify essential considerations when choosing a restaurant concept and location. Explore financing options and strategies for restaurant businesses. Utilise technology effectively for enhancing restaurant service management. Plan and design a diverse and appealing restaurant menu. Manage drink selections and beverage inventory efficiently. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring restaurant owners and managers. Hospitality students and graduates. Restaurant supervisors seeking advancement. Culinary entrepreneurs. Staff transitioning to management roles. Career path Restaurant Manager Assistant Restaurant Manager Food and Beverage Manager Hospitality Consultant Catering Manager Operations Manager Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Master the art of understanding and managing emotions with our comprehensive online course on Emotional Intelligence. Whether you're looking to excel in your personal or professional life, Emotional Intelligence is the key to success, and our program is designed to equip you with the necessary skills and knowledge to thrive in any situation. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access In this Emotional Intelligence Online Training, learners will explore the concept and importance of emotional intelligence. They will develop skills to recognize, understand, and manage their emotions effectively. Participants will learn techniques to regulate their emotions and enhance verbal and non-verbal communication skills for better interpersonal relationships. They will also discover ways to make a positive impact in various aspects of life and gain control over their emotional responses. Moreover, learners will delve into social management and responsibility, understanding how their emotions affect others and their roles in different social contexts. Additionally, the curriculum covers business practices, teaching learners how emotional intelligence influences professional success and effective leadership in the workplace. Through this comprehensive training, participants will acquire valuable insights and practical strategies to navigate emotions skillfully in personal and professional life. Course Curriculum: Module 01: What is Emotional Intelligence Module 02: Skills in Emotional Intelligence Module 03: Tools to Regulate Your Emotions Module 04: Verbal Communication Skills Module 05: Non-Verbal Communication Skills Module 06: Making an Impact Module 07: Gaining Control Module 08: Social Management and Responsibility Module 09: Business Practices (I) Module 10: Business Practices (II) Learning Outcomes: Define Emotional Intelligence and its significance in personal development. Acquire skills to manage emotions effectively in various situations. Utilize tools for regulating emotions in professional and personal contexts. Enhance verbal communication skills for clearer expression and understanding. Develop non-verbal communication skills to convey messages accurately. Demonstrate effective social management and responsibility in diverse environments. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals seeking personal and professional growth opportunities. Employees aiming to improve interpersonal relationships and communication skills. Managers and leaders striving to create positive work environments. Entrepreneurs want to enhance their business interactions and leadership abilities. Students preparing for future career advancements and challenges. Career path Human Resources Manager Executive Coach Sales Manager Customer Service Manager Team Leader Business Consultant Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

With our in-depth course, learn the fundamentals of landscape architecture! From mastering landscape ecology and green-scaping to designing captivating water features, walls, and pathways, each module offers practical insights and hands-on experience. Learn the art of planting and maintaining trees and shrubs, setting goals in sports, and creating entertaining, eco-friendly projects. Transform your outdoor spaces into stunning, sustainable landscapes with expert guidance and innovative techniques. Join us and start shaping your environment today! Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access In this course, learners will explore the art and science of Landscape Architecture. They will understand how landscapes affect the environment and people through topics like Landscape Ecology and Green-scaping. They will learn to design and integrate water features, walls, and fences into landscapes to enhance functionality and aesthetics. The course covers planting trees, shrubs, and creating pathways, focusing on practical techniques and design principles. Learners will gain skills in maintaining plant life and ensuring landscapes thrive over time. Additionally, they will delve into the broader applications of landscape architecture, such as in sport facilities and entertainment areas, including innovative recycling projects. Overall, the curriculum equips learners with foundational knowledge and practical skills to design, manage, and enhance outdoor spaces effectively and sustainably. Course Curriculum: Module 01: Introduction to Landscape Architecture Module 02: Landscape Ecology Module 03: Green-scaping Module 04: Water Features Module 05: Walls and Fences Module 06: Planting Trees and Shrubs Module 07: Pathways Module 08: Maintenance of Planting Module 09: Goal Setting in Sport Module 10: Entertainment and Recycling Projects Learning Outcomes: Identify principles of landscape architecture and its historical significance. Analyse ecological factors influencing landscape design and planning strategies. Implement sustainable practices in landscaping for environmental conservation. Design water features integrating aesthetic appeal and functional considerations. Construct walls and fences for delineation and privacy in landscapes. Apply techniques for planting trees and shrubs suitable to varied environments. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in environmental design and urban planning. Students aspiring to create aesthetically pleasing outdoor spaces. Professionals seeking to enhance their landscaping knowledge and skills. Environmental enthusiasts passionate about sustainable practices. Beginners looking to explore the basics of landscape architecture. Career path Landscape Architect Urban Designer Environmental Planner Garden Designer Landscape Technician Park Ranger Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Welcome to the comprehensive course on Introduction to Health Economics and Technology! Whether you're a healthcare professional, policymaker, or simply curious about the economics behind healthcare decisions, this course is designed to equip you with essential knowledge and insights. Key Features: CPD Certified Developed by Specialist Lifetime Access In the Introduction to Health Economics and Technology course, learners explore fundamental concepts at the intersection of healthcare and economics. They delve into the principles of health economics, understanding how scarce resources affect healthcare delivery and decision-making. The course introduces basic economic and technological concepts essential for evaluating healthcare technologies and interventions. Learners also gain insights into Health Technology Assessment (HTA), learning methods to assess the clinical, economic, and social impacts of new health technologies. They explore economic evaluation techniques used to determine the value and cost-effectiveness of healthcare interventions. Additionally, the course covers the intricate relationship between health economics and healthcare technologies, highlighting their mutual influence. Learners study health insurance systems, understanding their role in healthcare financing and access. The course concludes with a critical examination of dilemmas faced by health ministers in balancing healthcare quality, accessibility, and costs within healthcare systems. Course Curriculum Module 01: Introduction to Health Economics and Health Technology Assessment Module 02: What is Health Economics Module 03: Basic Economic and Technological Concepts Module 04: Health Technology Assessment Module 05: Economic Evaluation Module 06: Exploring the Relationship Between Health Economics (HE) and Health Technology A Module 07: Health Insurance Module 08: The Health Minister's Dilemma Learning Outcomes: Understand key concepts in health economics and technology assessment principles. Analyze economic implications of health technologies on healthcare systems. Evaluate cost-effectiveness and efficiency of health technologies and interventions. Examine the role of health insurance in economic management of healthcare. Discuss ethical dilemmas faced by health ministers in policy decision-making. Apply economic evaluation methods to assess health technology investments. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Healthcare professionals seeking economic perspectives in healthcare decision-making. Policy makers and government officials involved in healthcare planning. Researchers interested in health technology assessment and economic evaluation. Students pursuing studies in health economics and related disciplines. Consultants advising on health policy and economic strategies. Career path Health Economist Healthcare Policy Analyst Health Technology Assessor Health Insurance Economist Government Health Advisor Healthcare Researcher Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

With our in-depth course, learn the fundamentals of landscape architecture! From mastering landscape ecology and green-scaping to designing captivating water features, walls, and pathways, each module offers practical insights and hands-on experience. Learn the art of planting and maintaining trees and shrubs, setting goals in sports, and creating entertaining, eco-friendly projects. Transform your outdoor spaces into stunning, sustainable landscapes with expert guidance and innovative techniques. Join us and start shaping your environment today! Key Features: CPD Certified Developed by Specialist Lifetime Access In this course, learners will explore the art and science of Landscape Architecture. They will understand how landscapes affect the environment and people through topics like Landscape Ecology and Green-scaping. They will learn to design and integrate water features, walls, and fences into landscapes to enhance functionality and aesthetics. The course covers planting trees, shrubs, and creating pathways, focusing on practical techniques and design principles. Learners will gain skills in maintaining plant life and ensuring landscapes thrive over time. Additionally, they will delve into the broader applications of landscape architecture, such as in sport facilities and entertainment areas, including innovative recycling projects. Overall, the curriculum equips learners with foundational knowledge and practical skills to design, manage, and enhance outdoor spaces effectively and sustainably. Course Curriculum: Module 01: Introduction to Landscape Architecture Module 02: Landscape Ecology Module 03: Green-scaping Module 04: Water Features Module 05: Walls and Fences Module 06: Planting Trees and Shrubs Module 07: Pathways Module 08: Maintenance of Planting Module 09: Goal Setting in Sport Module 10: Entertainment and Recycling Projects Learning Outcomes: Identify principles of landscape architecture and its historical significance. Analyse ecological factors influencing landscape design and planning strategies. Implement sustainable practices in landscaping for environmental conservation. Design water features integrating aesthetic appeal and functional considerations. Construct walls and fences for delineation and privacy in landscapes. Apply techniques for planting trees and shrubs suitable to varied environments. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in environmental design and urban planning. Students aspiring to create aesthetically pleasing outdoor spaces. Professionals seeking to enhance their landscaping knowledge and skills. Environmental enthusiasts passionate about sustainable practices. Beginners looking to explore the basics of landscape architecture. Career path Landscape Architect Urban Designer Environmental Planner Garden Designer Landscape Technician Park Ranger Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Unlock the secrets of longevity and vitality with our comprehensive course on the Okinawa and Mediterranean diets. Delve into the rich culinary traditions and health philosophies that have captivated researchers and health enthusiasts worldwide. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access In the course "Understanding Okinawa and Mediterranean Diets," learners will explore two distinct dietary traditions known for promoting health and longevity. They will discover the principles behind the Mediterranean Diet, learning about its various foods, nutritional benefits, and how to incorporate it into daily life. This includes understanding its role in weight management and its potential health advantages. Additionally, students will delve into the Okinawa Diet, gaining insights into its unique foods and historical context. They will explore why this diet, originating from the Okinawa region in Japan, is associated with longevity and good health. By the end of the course, learners will have a comprehensive understanding of these dietary patterns, their nutritional values, and practical tips for adopting elements of both diets into their own lifestyles for improved well-being. Course Curriculum Module 01: Introduction to the Mediterranean Diet Module 02: Foods of the Mediterranean Diet Module 03: Health Benefits of a Mediterranean Diet Module 04: Nutritional Values of a Mediterranean Diet Module 05: Nutritional Details Module 06: Preparing a Mediterranean Diet Module 07: Losing Weight with a Mediterranean Diet Module 08: Introduction to Okinawa Diet Module 09: Foods of the Okinawa Diet Module 10: History of the Okinawa Diet Learning Outcomes: Understand key aspects of the Mediterranean and Okinawa diets. Identify specific foods integral to the Mediterranean and Okinawa diets. Analyze the health benefits associated with these dietary patterns. Evaluate the nutritional values and details of both diets. Demonstrate the ability to prepare meals following Mediterranean guidelines. Discuss strategies for weight management using the Mediterranean diet. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in exploring diverse dietary traditions. Health-conscious learners seeking evidence-based nutrition insights. Culinary enthusiasts looking to expand their repertoire of recipes. Fitness enthusiasts aiming to integrate healthy eating habits. Anyone curious about the cultural and health aspects of diets. Career path Dietician Nutritionist Health Coach Culinary Instructor Wellness Consultant Food Blogger Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Unlock the mysteries of the unknown with our comprehensive course on Introduction to Parapsychology and Paranormal. Delve into fascinating realms where science meets the supernatural, exploring a range of intriguing topics that will expand your understanding of the paranormal world. Key Features: CPD Certified Developed by Specialist Lifetime Access In this course, learners explore fascinating topics related to parapsychology and the paranormal. They delve into the mysteries surrounding UFOs and aliens, learning about investigations and different cultural beliefs. They also study astrology and its historical significance. The course examines the placebo effect, exploring how belief can influence health outcomes. Learners explore the concepts of probability and coincidence, gaining insights into how events may seem connected without being so. They investigate physical manifestations and reactions related to paranormal phenomena, and how these can affect people.The course also covers the influence of conscious and subconscious minds on paranormal experiences, and the practice of meditation as a tool for exploring these phenomena. Learners critically analyze theories related to parapsychology, and study the psychology behind claims of psychic fraud, understanding the complexities involved in such phenomena. Course Curriculum Module 01: Introduction to Parapsychology and Paranormal Module 02: Investigating Aliens and UFOs Module 03: The Origin and Legends in Different Cultures Module 04: Astrology Module 05: Placebo Effect Module 06: Probability and Coincidence Module 07: Physical Manifestations and Reactions Module 08: Manifestation on the Conscious & Subconscious Mind Module 09: Meditation Module 10: Exploring the Theories Module 11: The Psychology of Psychic Fraud Learning Outcomes: Understand Parapsychology theories and their relevance in modern society. Analyze cultural perspectives on paranormal phenomena and their historical context. Evaluate the scientific basis behind phenomena like astrology and placebo effects. Examine the psychological and physiological reactions to paranormal experiences. Discuss the ethical implications surrounding psychic phenomena and related practices. Apply meditation techniques to enhance understanding of consciousness and subconsciousness. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals curious about paranormal phenomena and its scientific explanations. Students of psychology and sociology interested in unconventional human experiences. Researchers exploring cultural beliefs and their impact on paranormal studies. Those seeking to understand the intersection of psychology and metaphysics. Enthusiasts of meditation and its applications in paranormal exploration. Career path Paranormal Researcher Cultural Anthropologist Astrologer Ethical Psychologist Meditation Instructor Psychological Researcher Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

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.