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Palliative care Course Online Introducing the Comprehensive Course: Palliative Care Introducing the Palliative Care course, a Palliative Care training that teaches Palliative Care best practices. With a focus on Palliative Care, this course provides hands-on Palliative Care training, equipping professionals with the skills and knowledge needed to provide quality Palliative Care. Each line of the course content is focused on Palliative Care, ensuring a comprehensive understanding of Palliative Care and its applications. Enroll today and begin your journey in Palliative Care! Palliative Care is an essential component of modern healthcare, and the Palliative Care course provides the necessary skills and knowledge to effectively provide Palliative Care. From understanding the basics of Palliative Care to learning about advanced Palliative Care techniques, this course will provide you with the tools you need to become a leader in Palliative Care. The Palliative Care course covers topics such as the fundamentals of Palliative Care, pain management, symptom management, communication skills, and ethics in Palliative Care. Main Course: Palliative Care Course Courses you will get with Palliative Care: Palliative care Course. Along with Palliative Care Course you will get free Level 3 Award in Health and Social Care Along with Palliative Care Course you will get free level 6 Diploma in health and social care Along with Palliative Care Course you will get free Nursing Assistant Special Offers of this Palliative Care: Palliative care Course. This Palliative Care: Palliative care Course includes a FREE PDF Certificate. Lifetime access to this Palliative Care: Palliative care Course Instant access to this Palliative Care: Palliative care Course 24/7 Support Available to this Palliative Care: Palliative care Course Palliative care Course Online This Palliative Care: Palliative care course will help you to understand how to provide support to manage pain and discomfort. You will discover the various approaches to pain management and symptom control in palliative care. This Palliative Care course will help you learn about different medications, therapies, and techniques used to alleviate pain, ensuring the highest level of comfort for those in your care. With this Palliative Care course dive into the unique challenges and considerations when providing end-of-life care to individuals with dementia. Through this Palliative Care: Palliative care course you will understand the role of the care worker at the time of death. You will also learn how to provide comfort and support to patients and their families, respecting cultural, religious, and personal preferences. This Palliative Care: Palliative care course will also help you to understand loss and grief in end-of-life Care. Who is this course for? Palliative care Course Online A Palliative care: Palliative Care course is designed for healthcare professionals, including doctors, nurses, social workers, pharmacists, and other allied healthcare professionals who are involved in providing care for patients with serious illnesses. Requirements Palliative care Course Online To purchase this course you don't need any requirement.

Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

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Getting Started This course is designed for those learners who have completed or are planning to pursue their CMI Level 7 Diploma in Strategic Management and Leadership and wish to proceed with an MBA at Anglia Ruskin University. Since there is no direct pathway to Anglia Ruskin University's MBA Top Up program after the CMI Level 7 Diploma in Strategic Management and Leadership, we have introduced a Bridge module (Strategic Leadership and Organisational Transformation), which will be delivered at the School of Business and Technology London. The programme CMI Level 7 Diploma in Strategic Management and Leadership and the Bridge Module are delivered by the School of Business and Technology. The MBA Top Up is delivered and awarded online by Anglia Ruskin University. At Anglia Ruskin University, you will study through Canvas, a world-class online Learning Management System (LMS), accessed from your phone, PC or tablet at home or on the move. Canvas provides instant access to study materials, forums, and support from tutors and classmates, as well as enabling easy submission of your assignments. After successfully completing your studies, you'll be invited to attend a graduation ceremony on campus at Anglia Ruskin University. If attending the ceremony in person is not possible, we'll arrange to send your certificate to you. The duration of the whole program is 12-15 months. School of Business and Technology London partners with Chestnut Education Group to promote this programme. How it works? Once a learner successfully completes CMI Level 7 Management and Leadership and the Bridge Module - Strategic Leadership and Organisational Transformation, we will transfer the credits to Qualifi, an ofqual.gov.uk regulated awarding body for the programme Qualifi Level 7 Strategic Management and Leadership. Upon credit transfer, learners will receive a certificate and transcript from Qualifi for Level 7 Diploma in Strategic Management and Leadership with 120 credits, which will be used as a pathway for MBA Top Up. Key Benefits The qualification aims to improve your strategic management skills and techniques. The knowledge gained through the qualification will assist you in your role as a strategic manager in your workplace. You will be enabled to apply theories and models in your practical work scenarios, enhancing your problem-solving skills that can be applied to your working environment. It is a nationally accredited qualification, and the credits gained through this course can be transferred to other universities or other awarding bodies. You will be able to manage problems in your workplace more effectively, boosting the career prospectus. About Awarding Body Chartered Management Institute established over 60 years ago as the British Institute of Management back then; it has developed the UK's very first diploma in management studies. In the years that followed CMI has consistently been at the forefront of all aspects of management and leadership. Today CMI is the only chartered professional awarding body committed to offering the highest standards in management and leadership excellence. Presently over 100,000 managers use its unique services daily. CMI qualifications aim for managers and leaders at any level, and it remains the only Awarding Body which can award Chartered Manager status - the ultimate management accolade. Employers highly value the qualifications awarded by CMI, and boost your career prospects. Anglia Ruskin University began in 1858 as the Cambridge School of Art founded by William Beaumont. It was then merged with the Cambridge shire College of Arts and Technology and the Essex Institute of Higher Education and was renamed Anglia Polytechnic. It was then given university status in 1992 and renamed Anglia Ruskin University in 2005. The university has campuses in the UK (Cambridge, Chelmsford, London and Peterborough), as well as they are partnered with institutions around the world including Berlin, Budapest, Trinidad, Singapore and Kuala Lumpur. Entry Requirements Learners from age 21 and over. The learners should possess 3 Years of middle management experience or two years of senior management experience. The learner should have the ability to complete the Level 7 Qualification 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. Structure Stage 1 - CMI Level 7 Diploma in Strategic Management and Leadership This is the first stage of this whole program. CMI Diploma qualification is designed for individuals wishing to develop strategic management and leadership practices who will have the knowledge, skills and behaviours to drive business activities in a senior, regional, specialist, director or CEO management and leadership role. The qualification contains a breadth of units, which reflect the tasks and activities required by managers in roles such as senior managers, regional management and specialist managers who are accountable to a senior manager or business owner. The CMI Level 7 Diploma in Strategic Management and Leadership is delivered by School of Business and Technology London and awarded by CMI.  The qualifications have been designed for practising or aspiring managers in roles such as: Senior Manager Regional Manager Specialist Manager (with expertise in a specific business or technical function such as quality, finance, risk, marketing, sales IT, human resources etc.) Director CEO Module Structure UNIT1- Strategic Risk Management This unit aims for leaders to develop an in-depth understanding of strategic risk management. Leaders will critically appraise strategic risk within an organisational context. They will assess strategies for risk management and the leadership skills to lead risk initiatives successfully. Ultimately, leaders will be allowed to develop a framework to deliver a risk strategy in an organisational context. UNIT2- Strategic Leadership This unit aims to equip leaders with an in-depth understanding of strategic leadership within an organisational context. Leaders will explore the complexities of the role and the theoretical perspectives, approaches, behaviours and skills which can enhance their professional practice. The unit focuses on the leader's ability to respond creatively to complex organisational challenges and understand how to set and deliver sustainable strategic goals. UNIT3- Collaboration and Partnerships The unit aims for leaders to understand collaborative and partnership arrangements. Leaders will critically assess the scope and value of these and evaluate the impact of organisational and legal frameworks on how these arrangements are delivered. The unit culminates in the requirement for the leader to present a rationale for collaboration or partnerships to further an organisation's success. UNIT4- Developing Organisational Strategy The aim of this unit is to enable leaders to know how to develop and influence an organisation's strategic direction through the development of a meaningful strategy. To support this outcome, leaders will critique the factors driving organisational strategy development and appraise approaches to successfully develop strategy. The unit culminates in leaders developing an organisational strategy to achieve a business goal. To complement this activity, leaders will propose an approach to implement and monitor the strategy developed to ensure its sustained success. UNIT5- Entrepreneurial Practice This unit aims to enable leaders to explore the principles of entrepreneurial practice, understand the different contexts in which entrepreneurship can flourish, and the characteristics of entrepreneurial leadership. Assessment Learners are required to submit time-constrained, scenario-based assignments for each unit of the level 7 diploma. There will not be any examinations.   Stage 2 - Bridge Module - Strategic Leadership and Organisational Transformation Now the second stage is to complete the Bridge Module. This module is about leadership at strategic level and the role of transformational leaders as catalysts for change in their organisations and whole industries. The module, therefore, focuses on two but clearly intertwined elements of strategic leadership and organisational transformation. Effective strategic leadership is a facilitator for organisational success. Leaders have to be knowledgeable, creative, agile and resilient to respond to organisational need in the contemporary workplace. This unit aims to equip leaders with an in-depth understanding of strategic leadership within an organisational context. Leaders will explore the complexities of the role and the theoretical perspectives, approaches, behaviours and skills which can enhance their professional practice. The unit focuses on the leader's ability to respond creatively to complex organisational challenges and understand how to set and deliver sustainable strategic goals. By studying this module, you should better understand their own leadership, or of the leadership in places of work and the changes that could take place to create a more effective leadership. Aim of the Unit Students are expected to develop many management/leadership skills that can be transferrable for use in other modules on the course and are essential in the workplace. Students are advised to refer to some leadership theories, which enables them to undertake the tasks given throughout the module. The notes formulated in response to these tasks will lead to you gaining formative feedback for your individual development.   Assessment As an individual, you will electronically submit a 5000-word assignment, which consists of a two-part report comprising of (i) a critical review of academic material (2,500 words) and (ii) a critical appraisal, evaluation and justification of change within an International organisation (2,500 words).   Stage 3 - MBA - Top Up The final stage is enrolling for the Top Up programme delivered online by Anglia Ruskin University. This professional qualification improves the chances of progression in a career path. This qualification helps the learner to oversee, supervise and allocate the operations in a business firm. The program aims to make the candidate capable of understanding the functional aspects of a company and acquiring the skills for communication and decision making. This programme from the renowned UK university is well acknowledged and globally respected as it dominates critical thinking and research. MBA can also help you specialise in a new industry you want to move to or in your current sector. Assessment The course requires you to submit a final Consultancy Project Report, which is treated as an assessment and would be scrutinised and reviewed by the verifiers externally. Delivery Methods The program comprises three stages; the first is Stage 1 - CMI Level 7 Diploma in Strategic Management and Leadership awarded by CMI and delivered by School of Business and Technology London. The second stage is the Bridge Module - Strategic Leadership and Organisational Transformation delivered by School of Business and Technology London. The School of Business and Technology London offers flexible learning methods, including online and blended learning, allowing students to choose the mode of study that suits their preferences and schedules. The program is self-paced and facilitated through an advanced Learning Management System. Students can easily interact with tutors through the SBTL Support Desk Portal System for course material discussions, guidance, assistance, and assessment feedback on assignments. School of Business and Technology London provides exceptional support and infrastructure for online and blended learning. Students benefit from dedicated tutors who guide and support them throughout their learning journey, ensuring a high level of assistance. The third stage is the MBA Top Up, delivered and awarded online by Anglia Ruskin University. At Anglia Ruskin University, you will study through Canvas, a world-class online Learning Management System (LMS), accessed from your phone, PC or tablet at home or on the move. Canvas provides instant access to study materials, forums, and support from tutors and classmates, as well as enabling easy submission of your assignments. After successfully completing your studies, you'll be invited to attend a graduation ceremony on campus at Anglia Ruskin University. If attending the ceremony in person is not possible, we'll arrange to send your certificate to you. School of Business and Technology London partners with Chestnut Education Group to promote this programme. 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.

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