692 Courses

With this course, you will kick start your journey of creating awesome GUI applications in Python using the Tkinter library. During the process, you will become familiar with the GUI widgets, application layout, and executable files.

The goal of this course is to use Python machine learning to create algorithms that you can use in the real world. You'll start with the basics of machine learning. You'll learn how to create, train, and optimize models and use these models in real-world applications.

Learn how to become an effective primary school teacher through the Primary Teaching Course. Explore essential topics, teaching strategies, and EYFS Framework. Gain insights into Importance of Early Years in Development, child development, EYFS Teaching Techniques and fostering a positive learning environment. Kickstart your teaching career with this comprehensive course!

Are you ready to unlock the power of data and gain a competitive edge in business? Look no further than our captivating bundle: Statistical Analysis with Data Analytics & Business Intelligence. In the UK, professionals with expertise in statistical analysis, data analytics, and business intelligence can command an impressive salary range of £35,000 to £70,000 per year, reflecting the high demand for these skills in today's data-driven economy. In today's data-driven world, the ability to analyse and interpret data is in high demand. This bundle combines three essential courses that will empower you to become a proficient statistical analyst, data analytics expert, and business intelligence analyst. You'll learn the fundamentals of statistics, explore advanced data analytics techniques, and master leveraging data for business intelligence. Each course in this Statistical Analysis with Data Analytics & Business Intelligence bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated. This Statistical Analysis with Data Analytics & Business Intelligence bundle promises an evolving learning experience. Engage in this extraordinary collection, and prepare to enrich your personal and professional development. Immerse yourself in these diverse, enthralling subjects, each designed to fuel your curiosity and enhance your knowledge. Dive in now! The courses in this bundle include: Statistics Data Analytics Business Intelligence Analyst Learning Outcomes: Strong Foundation in Statistics: Develop a solid understanding of statistical concepts, including probability, hypothesis testing, regression analysis, and data distributions. Proficient Data Analytics Skills: Gain hands-on experience in data analysis, wrangling, and visualisation techniques using popular tools and software. Advanced Statistical Techniques: Learn advanced statistical methods such as multivariate analysis, time series analysis, and predictive modelling to extract valuable insights from complex datasets. Business Intelligence Expertise: Acquire the skills to design and develop visually compelling dashboards, reports, and data-driven strategies to support informed decision-making in organisations. Data-driven Decision-making: Learn how to leverage data to identify trends, patterns, and correlations, enabling evidence-based decision-making that drives business growth and success. Effective Communication of Insights: Develop the ability to communicate complex data insights to non-technical stakeholders, translating data findings into actionable recommendations. The Statistical Analysis with Data Analytics & Business Intelligence bundle offers a comprehensive course to equip learners with the skills and knowledge needed to excel in statistical analysis, data analytics, and business intelligence. The Statistics Essentials course provides a comprehensive introduction to the fundamental principles of statistical analysis. You will explore probability theory, hypothesis testing, confidence intervals, and regression analysis. You will develop skills to analyse and interpret data. This solid foundation for your statistical journey enables you to apply statistical techniques to various fields. In the Data Analytics course, you will delve into the exciting realm of data exploration and analysis. You will learn how to extract, clean, and transform data from diverse sources, ensuring its quality and reliability. Through hands-on exercises and case studies, you will acquire the skills to apply advanced data analytics techniques, including data visualisation, predictive modelling, and pattern recognition. By the end of this course, you will be equipped with the tools to uncover valuable insights from complex datasets and contribute to evidence-based decision-making. The Business Intelligence Analyst course focuses on developing your business intelligence and data visualisation expertise. You will learn how to design and create interactive dashboards using industry-leading tools, generate comprehensive reports, and deliver meaningful insights to stakeholders. Additionally, you will gain an understanding of data management, data governance, and the role of business intelligence in strategic decision-making. Take advantage of this incredible opportunity to become a skilled statistical analyst, data analytics expert, and business intelligence professional. Enrol in the Statistical Analysis with Data Analytics & Business Intelligence bundle today and unlock endless possibilities. Start your journey towards a rewarding career in the dynamic field of data-driven decision-making. CPD 20 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The target audience for the course is: Professionals seek to enhance their analytical skills and broaden their career prospects in data-driven roles. Individuals are interested in pursuing a career as a data analyst, business intelligence analyst, or data scientist. Business professionals who want to leverage data to make informed decisions and drive organisational success. Graduates or students with a background in mathematics, statistics, or a related field looking to specialise in data analytics and business intelligence. Entrepreneurs or business owners who want to harness the power of data to optimise their operations and strategic decision-making. Career path Some of the career paths related to this field are: Data Analyst: £25,000 - £45,000 per year Business Intelligence Analyst: £30,000 - £55,000 per year Data Scientist: £40,000 - £70,000 per year Analytics Manager: £45,000 - £80,000 per year Statistical Analyst: £30,000 - £55,000 per year Market Research Analyst: £25,000 - £45,000 per year Data Consultant: £35,000 - £70,000 per year Certificates Certificate Of Completion Digital certificate - Included Certificate Of Completion Hard copy certificate - £9.99 Unlock your potential and showcase your accomplishments with our CPD Quality Standards certificates! Upon successful completion of the course, learners can obtain a CPD Quality Standards PDF certificate for Statistics absolutely free! Upon finishing Data Analytics and Business Intelligence Analyst, you'll have the opportunity to obtain valuable proof of your achievement. For just £4.99, we'll send you a CPD Quality Standards PDF Certificate via email, or if you prefer, you can get a beautifully printed hardcopy certificate for £9.99 in the UK. If you're located internationally, don't worry! We offer a printed hardcopy certificate for £14.99, ensuring your success knows no boundaries. Grab your certificate and celebrate your success today!

Quality Guarantee: Promising training excellence, satisfaction gurantee Accredited by: CPD UK & Quality License Scheme Tutor Support Unlimited support via email, till you complete the course Recognised Certification: Accepted by thousands of professional bodies Start Anytime: With 1 year access to the course materials Online Learning: Learn from anywhere, whenever you want This course will help you gain the essential skills for precision and accuracy in the medical field. You will learn Pharmaceutical mathematics, mastering dosage calculations, conversions and medication preparations to proficiently handle crucial medical calculations and medication administration. This course at a glance Accredited by CPD UK Learn household to metric conversions of weight ( pounds(lbs) - Kilograms (kg)) Understand kilograms-grams-milligrams-micrograms conversions Learn days supply, quantity to be dispatched, single-dose, single day, and total volume Understand percentages, strengths, and concentration Know allegation and dilution Get acquainted with the application of percentage, allegation, and dilution Learn hospital maths - flow rate and drip rate Learn how to find R, T, and V in the hospital maths Know dosage calculation based on weight and age Understand what is dosage calculation Learn business maths terminologies, markup and discount, and retail business maths Why Medical Math and Pharmacy Calculations Course right for you? This extensive Medical Math and Pharmacy Calculations Course is beneficial for those who want to understand the nuances of medical maths and learn how to convert time in military/international standard time and learn how to convert Roman numerals and temperatures into Celsius - Fahrenheit. This online Medical Math and Pharmacy Calculations Course will give you an overview of proportion or dimensional analysis, such as household to metric conversions of weight and length, pharmacy maths, business maths. In addition, you will have a basic idea of concepts such as percentages, strengths, and concentration, hospital and compounding maths such as allegation and dilution, and much more. By the end of the course, you will gain theoretical knowledge about hospital maths, dosage calculation, business maths, and pharmacy maths. Medical Math and Pharmacy Calculations Course Details Accredited by International Practitioners of Holistic Medicine (IPHM) is a leading accredited organisation that certifies and regulates alternative therapists, healers, and training providers around the world. After completing the IPHM accredited course you will be eligible to apply for the insurance.   CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Course Curriculum Introduction to The Course Introduction to The Course Conversions Conversions: Time (Military/international - Standard Time) Conversions: Roman Numerals Conversions: Temperature (Celsius - Fahrenheit) Conversions Using Ratio - Proportion or Dimensional Analysis Household to Metric Conversions of Weight: Pounds (Lbs) - Kilograms (Kg) Household to Metric Conversions of Length: Inches (in) - Centimeters (Cm) Conversions: Kilograms-grams-milligrams-micrograms Conversions: Milligrams & Grains Household to Metric Conversions of Volume: Fl Oz, Tbsp, Tsp - Ml Pharmacy Math Days Supply Quantity to Be Dispensed Single Dose, Single Day, Total Volume Business Math Business Math: Terminologies Business Math: Mark-up / Discount Retail Business Math: Mark-up Amount & Mark-up Percentage Retail Business Math: Discount Amount & Discount Percentage Pharmacy Business Math: Purchase Price, Discount, and Discount Percentage Pharmacy Business Math: Percentage Markup Rate Pharmacy Business Math: Gross Profit / Net Profit Understanding Percentages, Strengths & Concentration Percentages, Strengths & Concentration % W/v, % W/w, % V/v Hospital and Compounding Math: Alligation & Dilution Review of Percentages, Strengths & Concentration Alligation & Dilution Application of Percentage, Alligation & Dilution Practice Problems More Practice Problems Hospital Math: Flow Rate & Drip Rate Flow Rate Vs Drip Rate Finding the R Finding the T Finding the V Dosage Calculation Dosage Calculation Based on Weight & Age Dosage Calculation Based on Body Surface Area (Bsa) Bsa Practice Problems Therapeutic Dose Versus Lethal Dose Therapeutic Range: Minimum and Maximum Dose Dosage Calculation Based on Weight: Mg/kg/day & Mg/kg/dose Pediatric Daily Rate Who should take this course? This online course is suitable for those who want to pursue their career in the medical and pharmacy industry or anyone who wants to enhance their theoretical knowledge in pharmacy and medical maths. Entry Requirements There are no academic entry requirements for this course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This medical math and Ppharmacy calculations course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner can grasp from each section. In the assessment pass mark is 60%. Join the Health Coach Training Course Online and learn how to help others achieve their wellness goals. Certification Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

Embark on a journey into the world of technology with Spark Generation! Learn the fundamentals of computer science, coding languages, and algorithmic thinking. Discover the logic behind programs and explore the creative potential of digital innovation.

Embark on a journey into the world of technology with Spark Generation and our Cambridge self-paced courses! Learn the fundamentals of computer science, coding languages, and algorithmic thinking. Discover the logic behind programs and explore the creative potential of digital innovation.

2 QLS Endorsed Course | CPD Certified | Free PDF + Hardcopy Certificates | 80 CPD Points | Lifetime Access

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.

Bespoke tuition for small groups.