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Healthy Heart - Strengthen, Heal & Protect Your Heart Overview Be the master of your body and mind. Embracing a healthy lifestyle and prevent heart disease. The Healthy Heart - Strengthen, Heal & Protect Your Heart course guides you through specific strategies to make your heart healthier and help prevent heart attacks. The heart pumps blood around your body, delivers oxygen and nutrients to your cells and removes waste products. A healthy heart is one of the most important aspects of good health. So by embracing a healthy lifestyle you prevent heart disease at any age and lower your risk of a heart attack or stroke.  The heart is an involuntary muscle. The heart has a cycle of its own. It works spontaneously. But the heart may get disruptions while working due to irregularities caused by its owner. So it's very important for you to be aware of what's happening inside your body. You will learn in details how the heart works and what types of activities are bad for your heart. The information experts are going to drop you in this course will open you up to a healthier and comfortable life.  What you'll learn from this course This course will guide you through everything you need to know about the functions and maintainance of a human heart You'll learn: The primary risk factors of heart disease To strengthen your heart to prevent future episodes Specific heart remedies that can make a big difference Lifestyle changes that will help you avoid risks What a heart attack actually is Ways to spot a heart attack Complications of a heart attack & follow-up care. What to do when a heart attack occurs Ways to free yourself from anxiety Why you should choose this Healthy Heart - Strengthen, Heal & Protect Your Heart Course from iStudy Here are a few reasons why you should choose this Healthy Heart - Strengthen, Heal & Protect Your Heart Course over other generic courses that you find on the internet: Study at your own pace No hidden fees or exam charges Full Tutor support on weekdays (Monday - Friday) CPD Qualification Standards and IAO accredited Fully compatible with any device Efficient exam system, assessment, and instant results Free Printable PDF Certificate immediately after completion Hard copy certificate is available, and you can get one for just £9! No prior qualifications are needed to take this course Improve your chance of gaining professional skills and boost your earning potential All these and we have our customer support team always ready to help you and make your learning experience as smooth and as enjoyable as possible.  Enrol today and learn something new with iStudy. You'll find a full breakdown of the course curriculum down below. Take a look and see just how much this course offers. We're sure you'll be satisfied with this course. The course will be your complete guide to everything you need to know to maintain a healthy human heart. Why You Should Choose Healthy Heart - Strengthen, Heal & Protect Your Heart Lifetime access to the course No hidden fees or exam charges CPD Qualification Standards certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Healthy Heart - Strengthen, Heal & Protect Your Heart is CPD Qualification Standards and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Healthy Heart - Strengthen, Heal & Protect Your Heart is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD Qualification Standards and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Introduction & First Concepts PROMO - Healthy Heart 00:03:00 Introduction 00:03:00 What Is A Heart Attack & Complications What Is A Heart Attack 00:14:00 Complications Of A Heart Attack 00:11:00 Emergency Care For A Heart Attack Emergency Care For A Heart Attack 00:10:00 Risk Factors & Lifestyle Choices Risk Factors For Heart Disease 00:07:00 Lifestyle Choices For Your Heart 00:06:00 Heart Remedies Remedies For A Healthy Heart 00:15:00 Final Tips & Suggestions Conclusion - Final Tips & Suggestions 00:01:00

Description This course is for all those who have read the amazing book Think And Grow Rich (or who have heard of the book), who want to apply the 13 principles which is talks about. Although it was first written in 1937 by Napoleon Hill, it has been referred to as a 'timeless classic' because business people, high-flying people and entrepreneurs to this very day still refer to the contents of this book. Even if you've read the book once - its not enough. The content is so heavy, that it is highly recommended that students read the book several times. But even if you have read the book several times, this too, isn't sufficient. One must then APPLY the content to their life. This course will help you to apply the content of Think And Grow Rich. View this course as your mastermind group. We give you a PDF copy of the book 'Think And Grow Rich by Napoleon Hill, Revised and Expanded by Lisa Newton' your course tutor, who then has a lecture aimed at helping you to apply the contents of the material in each chapter. The course will help you to really analyze, break down, get to grips with, use and apply the content of each chapter. It's not enough to just read the chapter. You must understand what you've read...and apply it. Even if you've read the book, if you cannot recite the 13 principles which Hill outlined - then you don't really know this book. And this is why this course is like a study course. We are going to study it together. And we'll have an open forum where we can discuss ideas together. The format of the course - download the book, read a chapter, watch the course lecture on the chapter, re-read the chapter and have a go at the end of chapter task. In total (assuming you take a chapter per day), the course will take approx 2 weeks to complete. Its not a sprint, but a marathon. We would recommend that you don't rush the material, and if you prefer to take one week to really study and analyze the chapter - then do so. Or, even if you do take one day - once complete, return to the beginning and do it again. This course will help you to really understand how to THINK AND GROW RICH. If you've read the book, but nothing happened, then this course is for you. If you've heard about the book, but not read it - this course is for you. If you are interested in understanding what makes a person rich, how do they do it? How do you become wealthy? How can you get rich? What are the rich doing that everyone else isn't doing ... then this course is for you. Be aware that Hill took 25 years of his life to interview and study over 500 of the most successful men and women of his time. He took this analysis and broke it down, in a way that the normal, everyday, average man and woman could read and could replicate those same results - if they so want to. So, (as you'll see in chapter 2), a BURNING DESIRE is one of the first requisites to accumulate great wealth. And in order to do this course - it helps, if you have a burning desire. There is nothing new under the sun. The laws of success are just as relevant today, as they were in 1937. Many millionaires have this book on their bookshelf. Don't just read the book - join us on this course and let us really STUDY THE BOOK together. What Will I Learn? Think and Grow Rich Apply the 13 steps to riches Requirements You will be given a PDF copy of Think and Grow Rich by Napoleon Hill, revised and expanded by Lisa Newton. This book is also available on Amazon and at over 300 pages long, it may be worth buying the hard copy (if you don't like reading off the screen) because it also is a workbook which you can write in, and this is what we use on this course Who is the target audience? This course is for entrepreneurs, success-orientated people, business people and those with a BURNING DESIRE to create wealth and understand riches It's not for you if you think money is evil or sinful Introduction Introduction to THINK AND GROW RICH - the background FREE 00:07:00 The 13 steps to riches Power of thought 00:08:00 Desire 00:12:00 Faith 00:11:00 Autosuggestion 00:09:00 Special knowledge FREE 00:05:00 Imagination 00:07:00 Organized planning 00:07:00 Decision 00:07:00 Persistence 00:07:00 Power of the mastermind 00:04:00 The mystery of sex 00:14:00 The subconscious mind 00:06:00 Next steps The brain 00:05:00 The 6th sense 00:03:00 The 6 ghosts of fear 00:11:00 Where to go from here Conclusion 00:10:00

Discover practical ways you can help using the core skills and concepts of human givens therapy – early intervention and ‘treating the whole person’ can be crucial… Accredited CPD: 6 hours Length: 1 day (9.30am - 4.00pm) Excellent trainer, very engaging, invaluable insights and knowledge This new course for HG therapists builds on the online Understanding Eating Difficulties introductory webinar. It will deepen your understanding of working with clients experiencing eating difficulties and give you practical guidance on the most appropriate ways to support them, whether they have an official diagnosis or not. You will leave the workshop with a much better understanding of how to apply the skills and concepts encompassed in human givens therapy in this area. Jo Baker has a wealth of experience in this area; she has previously worked as a volunteer for BEAT and other local eating disorder charities and helped people with eating difficulties in both private practice and university settings. NEXT DATE:  This course is part of our new range of recommended CPD for HG therapists. We don’t currently have another date for it, if you are interested in attending please register here so we can let you know when one becomes available. Why take this course The numbers of people experiencing eating difficulties are hitting an all time high – in the UK, 1.25 million people are estimated to have a diagnosable eating disorder¹ with hospital admissions more than doubling from 10,318 to 22,000 in the four years between 2016 and 2020². The early stages (or ‘subthreshold’ stages i.e. when symptoms do not meet full diagnostic criteria for an eating disorder as defined by the DSM-5 or the ICD-11) have been identified as a critical period for preventing progression of an eating disorder³. However, stigma directed towards those experiencing eating difficulties that aren’t believed to be ‘serious enough’ to warrant support⁴ can present a barrier to seeking help. With its deliberate use of non-clinical language Jo Baker’s new workshop for HG therapists considers all difficulties around eating worthy of help, understanding and support, irrespective of whether or not these difficulties have been diagnosed or meet the criteria for a diagnosable eating disorder. In this regard, the human givens approach takes a step forward towards early intervention, and treating the whole person. As well as having been a practising Human Givens therapist for 12 years, and teaching the HG Diploma, Jo has previously worked as a volunteer for BEAT and other local eating disorder charities and brings to the day a wealth of practical experience of working with eating difficulties both in private practice and in university settings. What will you learn The nuance of language – how to avoid causing unintentional distress The causes of most eating disorders and difficulties Creating space for the client’s story How to help your client identify and challenge destructive thought processes Therapeutic tools to get to the root of the problem – we look at which techniques can be useful, and what to be careful of The barriers created by clinical language and diagnostic criteria Diversity in eating difficulties – a greater understanding of the impact of cultural and contextual factors around eating How to help your client meet their needs and use their resources in a healthy way Eating difficulties and neurodiversity An increased awareness of complicating conditions – such as alcohol / substance abuse and medical conditions The important role of sleep in recovery Accessing resources and helping the individual to develop a nurturing self Ethical practice Understanding the boundaries of your role and your own limitations And more… Course Programme The ‘The Mind-Body Connection in depth: Movement, Emotion and Calm’ course starts at 9.30am and runs until 4.00pm. From 8.30am Registration (Tea and coffee served until 9.25am) 9.30am Eating difficulties: an overview 11.00am Discussion over tea/coffee 11.30am Understanding and resolving difficulties 1.00pm Lunch (included) 1.45pm Group discussion – questions from the day so far 3.00pm Discussion over tea/coffee 3.15pm Bringing it all together 4.00pm Day ends Who is this course suitable for? This course is for experienced, qualified HG therapists and counsellors who would like to understand more about eating difficulties, eating disorders and the different ways they can affect people. It is an invitation to recognise that all experiences of eating difficulties are equally valid and worthy of care and support. It is hoped that the learner develops further depth and breadth to their understanding and feels an increased confidence to support clients with eating difficulties however they present. The course combines trainer input, discussion and small group activities. All training is limited by time constraints and whilst we have done our utmost to include a diversity of perspectives there will inevitably be topics that have not been covered. This course is an invitation to recognise that all experiences of eating difficulties are equally valid and worthy of care and support. It is hoped that the learner develops further depth and breadth to their understanding and feels an increased confidence to support clients with eating difficulties however they present. This course has been independently accredited by the internationally recognised CPD Standards Office for 6 hours of CPD training. On completion of this training you’ll receive CPD certificates from the College and the CPD Standards Office.

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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.

Gain the essential skills and knowledge to excel in residential childcare with our Diploma in Residential Childcare course. Understand child development stages, promote healthy living, and ensure the safety and well-being of children in care. Perfect for aspiring residential childcare workers and professionals seeking formal qualifications.

The British Cleaning Certificate provides essential knowledge for starting your own cleaning business in the UK. The course includes a full module on launching a cleaning business, covering key topics like planning and preparation.