7887 Concept courses in Liverpool delivered On Demand

In this course, you will learn everything you need to know to become a professional React JS developer. As we lay the foundation for HTML5 and CSS, we will also work on some practice projects. Furthermore, we will explore JavaScript and ReactJS by studying their fundamentals and practicing.

Do you want to be an expert on cloud computing procedure? Are you looking for some lucid methods to learn this course easily? If so, this ultimate Diploma in Cloud Computing course is for you to know further in your quest. The lucid contents of the course instruct you how to manage and store data in a cloud computing system than a local server. The course aims to teach you all the effective functions so that you can run smoothly run your business reducing your costs, expense, and hassles of system upgrade of installed software. At the end of the course, you will enable to ensure speed, productivity, performance, security on a global scale. Who is this course for? Diploma in Cloud Computing is suitable for anyone who want to gain extensive knowledge, potential experience and professional skills in the related field. This course is CPD accredited so you don't have to worry about the quality. Requirements Our Diploma in Cloud Computing is open to all from all academic backgrounds and there is no specific requirements to attend this course. It is compatible and accessible from any device including Windows, Mac, Android, iOS, Tablets etc. CPD Certificate from Course Gate  At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Diploma in Cloud Computing What Is Cloud Computing? 00:15:00 Benefits Of Cloud Computing 01:00:00 Is Cloud Computing Really Secure? 01:00:00 The Concept of Public Cloud 00:30:00 The Concept of Private Cloud 00:30:00 Hybrid Cloud and It's Advantages 00:30:00 Types of Cloud for Your Business 00:30:00 Key Features of Cloud Computing 01:00:00 How Cloud Computing Can Revolutionize Your Business? 00:30:00 Wrapping Up 00:15:00 Reference Books Cloud Computing Complete Guide 00:00:00 Cloud Services 00:00:00 Mock Exam Mock Exam-Diploma in Cloud Computing 00:20:00 Final Exam Final Exam-Diploma in Cloud Computing 00:20:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Description Meridian Healing Techniques Diploma The Meridian Healing Techniques Diploma is a course specially crafted for those with a keen interest in exploring the esoteric world of meridian healing. With the course offered entirely online, students can enjoy the convenience of learning at their own pace, from the comfort of their own home, or indeed from anywhere in the world. The course begins by setting solid ground with 'The Foundations of Meridian Healing.' This part presents a solid understanding of the principles underlying meridian healing, creating a sturdy foundation for the more advanced concepts to come. Then, the 'Introduction to Different Meridian Healing Techniques' expands on these foundations, providing an overview of the various techniques and their practical applications. The Meridian Healing Techniques Diploma helps students gain an in-depth understanding of 'The Meridian Map'. The knowledge and familiarity of this map and its complex pathways become integral to mastering the craft of meridian healing. By analysing the meridian map, learners acquire a firm grasp of its nuances and the roles it plays in ensuring overall health and wellness. The course then shifts focus to 'Meridian Healing for Physical Wellness' and 'Meridian Healing for Emotional Balance'. Students gain hands-on experience with techniques that can help improve physical health and promote emotional stability. These parts of the course provide the necessary tools to apply meridian healing to improve one's quality of life and the lives of others. Next, a 'Practical Guide to Self-Meridian Healing' empowers students to take control of their own health and wellbeing. Through this segment, the course encourages the practice of self-healing and teaches the student how to maintain their energetic health. ' Meridian Healing in the Face of Modern Challenges' deals with the practical application of these techniques in our modern world. It discusses how these ancient methods can be adapted to meet the challenges posed by today's fast-paced, high-stress environments. The Meridian Healing Techniques Diploma also offers a profound examination of 'The Intersection of Meridian Healing and Western Medicine'. This topic analyses the potential for integration and collaboration between these two seemingly contrasting worlds, leading to a more comprehensive understanding of health and healing. 'A Deep Dive into Qi' gives the learner a unique understanding of this vital life force. It elucidates the concept of Qi, its role in meridian healing, and how its balance or imbalance can affect overall health. Lastly, 'The Future of Meridian Healing' invites learners to explore the potential and possibilities of meridian healing. It provides them with insights into emerging trends and future directions, preparing them for an exciting journey ahead in this field. All in all, the Meridian Healing Techniques Diploma offers an extensive exploration into this fascinating subject. It equips students with a powerful toolset for personal health and wellbeing, as well as providing an excellent foundation for those wishing to pursue this field professionally. The online format of the course ensures it is easily accessible to anyone, regardless of their location or schedule. This is a fantastic opportunity to delve into the rich, holistic world of meridian healing, expanding your understanding of this ancient art, while acquiring skills that can positively impact your life and those around you. What you will learn 1: The Foundations of Meridian Healing 2: Introduction to Different Meridian Healing Techniques 3: The Meridian Map: An In-Depth Analysis 4: Meridian Healing for Physical Wellness 5: Meridian Healing for Emotional Balance 6: Practical Guide to Self-Meridian Healing 7: Meridian Healing in the Face of Modern Challenges 8: The Intersection of Meridian Healing and Western Medicine 9: A Deep Dive into Qi 10:The Future of Meridian Healing Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

Description Functional Exercise Diploma Introducing the online Functional Exercise Diploma, a comprehensive course meticulously tailored for those passionate about harnessing the power of functional fitness. This captivating programme provides a robust understanding of functional exercise, supplying learners with the essential knowledge and skills to design and deliver highly effective functional fitness programmes. The Functional Exercise Diploma commences with a thorough introduction to functional exercise. The learner embarks on an exploration of what functional fitness really means, its principles, its importance, and its countless benefits. This foundation provides a solid grounding for the intricate subject matter to follow. Once familiar with the concept of functional exercise, learners delve into the study of anatomy and physiology as it relates to functional fitness. Understand how muscles work together, how they can be conditioned, and how to avoid injury while ensuring peak performance. This knowledge becomes the compass to guide the development of safe, effective, and personalised functional exercise programmes. As the course progresses, students explore the principles and components of functional exercise. This segment enlightens learners about the theory behind the training, the concepts that drive functional training, and the various components that make it effective and transformative. Understanding these elements is crucial for designing a practical and impactful functional fitness regime. The course moves further into the unique tools and equipment used in functional fitness. As learners, you'll get acquainted with the right gear, the benefits of each tool, and how to optimally use them to heighten the benefits of a functional exercise regimen. In the next module, the Functional Exercise Diploma teaches learners how to assess fitness and functional movement. This essential knowledge assists in setting realistic goals, tracking progress, and adjusting programmes according to the client's needs and abilities. The crux of the course lies in the segment on designing a functional exercise programme. Learners gain proficiency in creating bespoke plans tailored to a variety of needs, goals, and abilities. With this skillset, you'll be well-equipped to deliver exceptional results to clients or enhance your own fitness journey. Later in the course, focus narrows onto functional exercises for core strength. Core stability is paramount for performance in daily tasks and sport-specific activities. Through this module, acquire the proficiency to incorporate exercises that effectively build and strengthen the core. The Functional Exercise Diploma does not forget about the needs of aging adults and those in rehabilitation. It includes specialized modules on functional exercise for these groups, ensuring that fitness professionals can cater to all demographics and situations. Finally, the course ends by empowering learners to take functional fitness to the next level. This segment equips learners with the knowledge and skills to consistently improve and advance in functional fitness, opening up an exciting world of potential progress. On completion of this online Functional Exercise Diploma, students will be armed with a profound understanding of functional fitness. Whether you're a fitness enthusiast, an existing fitness professional, or someone looking to embark on a new career, this course will provide a powerful springboard to your next level of success. With the Functional Exercise Diploma, become a master of functional fitness and inspire others towards optimal health and wellness. What you will learn 1:Introduction to Functional Exercise 2:Anatomy and Physiology for Functional Exercise 3:Principles and Components of Functional Exercise 4:Tools and Equipment for Functional Exercise 5:Assessing Fitness and Functional Movement 6:Designing a Functional Exercise Program 7:Functional Exercises for Core Strength 8:Functional Exercise for Aging Adults 9:Functional Exercise for Rehabilitation 10:Taking Your Functional Fitness to the Next Level Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

This course provides an introduction to the concept of handling information in care settings. At the end of the course you will understand the need for secure handling of information and you will know how to access support if you have any questions regarding access to information. The course will cover the important role confidentiality plays in developing trusting relationships with the people in your care and it will define key terms such as ‘need to know’ and ‘consent’.

Discover the secrets to successful marriage counselling with our comprehensive course on expert techniques for relationship healing. Explore communication patterns, conflict resolution, healthy fighting, intimacy building, pre-marital counselling, apology, forgiveness, and adapting to changes. Enhance your skills, foster resilient relationships, and become a sought-after marriage counsellor. Enroll now for a transformative learning experience.

Strategic Risk Navigation is a dynamic course designed to provide participants with a comprehensive understanding of strategic risk and its impact on organizational decision-making. Strategic risk management has emerged as a critical focus for businesses globally, necessitating a deep understanding to identify and mitigate potential risks effectively. The course, "Strategic Risk Navigation," addresses this need, offering participants the knowledge and skills required to navigate the complexities of strategic risks. After the successful completion of this course, you will be able to: Understand the concept of strategic risk and its implications in organizational decision-making. Describe the principles and components of Strategic Risk Management and its role in guiding organizational strategy. Analyze the framework of Strategic Risk Management to identify potential risks and develop risk mitigation strategies. Explain the strategic risk assessment process, including risk identification, analysis, and prioritization techniques. Identify and categorize different types of strategic risks, such as market risks, operational risks, and reputational risks. Demonstrate an understanding of the stages in the Kaplan-Norton Execution Model and its application in strategic planning and execution. Embark on a transformative learning experience with our Strategic Risk Navigation course. In today's dynamic business landscape, mastering the art of strategic risk management is paramount for organizational success. Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Strategic Risk Navigation Self-paced pre-recorded learning content on this topic. Strategic Risk Navigation Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. 1. Chief Risk Officers 2. Strategic Planners 3. Business Leaders 4. Risk Analysts 5. Decision-Makers 6. Project Managers 7. Financial Strategists 8. Operations Managers Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Stop wasting valuable time and maximise your productivity in the workplace, with this complete Procrastination Solution training course.  It's all too easy to put tasks off until a later time, or delay writing an important essay until the night before. But in the long-run, you are not benefitting from this mindset. Through this effective personal development program, you will learn how to make proper use of your valuable time. It starts by exploring the science behind procrastination and how procrastination can hold you back in life. Through expert tutoring, you will be introduced to different techniques for managing your time more efficiently, exploring the concept of good and bad procrastination in detail. Not only will you learn how to beat procrastination, but you will become a more productive, reliable person, which will in turn boost your earning potential and ensure you are a valued member of staff. Learning Outcomes: Beat procrastination through effective exercises and step-by-step guidance Learn the science behind procrastination from the experts Understand the negative impact of procrastination and why it is holding you back Gain advanced time management skills to maximise your productivity Become a more efficient, reliable and trustworthy professional in your organisation Eliminate the fear of saying no and understand your limits Make better use of your valuable time to become a highly successful individual Career Path This Procrastination Solution is 100% effective, designed by industry experts, with practical exercises that anyone can follow easily. This training program allows for both part-time and full-time learners, and is ideal for the following people: Students Professionals Coaches and mentors Anyone who wishes to beat their procrastination habit Unit 01: First Concepts and Brain Chemistry Introduction and First Concepts 00:02:00 The Science behind Procrastination 00:09:00 How Procrastination Can Destroy You 00:09:00 Unit 02: How to Beat Beating Procrastination Manage Your Time - Manage Your Life 00:11:00 How Highly Successful Individual 00:06:00 Unit 03: Additional Strategies for Beating Procrastination Good Vs Bad Procrastination 00:08:00 Don't Be Afraid to Say No 00:06:00 Unit 04: Final Thoughts and Ideas Final Thoughts and ideas 00:02:00

4 Part Guided Mediation Series on Practising Present Moment Awareness from The Heart of Presence with Mike Jenkins.

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.