28078 Development courses in Manchester delivered Online

The course focuses on the five domains that should be known for the CompTIA PenTest+ PT0-002 exam. Learn to successfully plan and scope a pen test engagement with a client, find vulnerabilities, exploit them to get into a network, then report on those findings to the client with the help of this comprehensive course.

Master the art of professional report writing with this Level 5 Diploma, QLS Endorsed. Develop advanced writing, research, and presentation skills to create impactful reports for any industry. Enroll today!

The Computing Technology Industry Association (CompTIA) is the association representing the international technology community. Its goal is to provide a unified voice, global advocacy and leadership, and to advance industry growth through standards, professional competence, and education and business solutions. In order to most efficiently serve the industry and its members, CompTIA has developed specialized initiatives and programs dedicated to major areas within the IT industry. They include, convergence technology, e-commerce, IT training, software services, certification, public policy and workforce development. This bundle offers incredible value for money for anyone looking to get CompTIA certified. It includes 6 separate certification courses, spanning a variety of disciplines and technical fields from IT technician skills, to networking, and IT security, plus more!

Learn Python OOP language used diversely in applications like data science, game/web development, machine learning, and AI. This course provides all you need to master OOPs like classes, objects, data abstraction, methods, overloading, and inheritance. The course primarily aims to help you tackle complex programming and use OOP paradigms efficiently.

Learn about the jQuery library from scratch and stretch your journey from a beginner-level to advanced-level professional with a step-by-step and comprehensive course. A basic understanding of the JavaScript Document Object Model and CSS is suggested as a prerequisite to this course.

Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified Safeguarding Children from Abuse bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our 30 course mega bundle that will exceed your expectations within your budget. The Safeguarding Children from Abuse related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then StudyHub proposes a preparatory bundle. This comprehensive Safeguarding Children from Abuse bundle will help you build a solid foundation to become a proficient worker in the sector. This Safeguarding Children from Abuse Bundle consists of the following 25CPD Accredited Premium courses - Course 1: Advanced Safeguarding Children (Level 2 Safeguarding) Course 2: Safeguarding children level 3 Course 3: Safeguarding Children from Abuse Course 4: Safeguarding Children: Internet Safety Course 5: Safeguarding Coordinator Course 6: Designated Safeguarding Lead (DSL) Course 7: EYFS and Phonics Teaching Diploma Course 8: Autism & Dyslexia Awareness Training Course 9: ADHD Awareness Course 10: Family Law and Child Protection Course 11: Family Law Course 12: Child Behaviour Course 13: Child Protection & Safeguarding Course 14: Domestic Violence and Abuse Awareness Diploma Course 15: How to Save Children from Abuse Course 16: Parenting Skills Training Course Course 17: Child Neglect Awareness Certificate Course Course 18: Child Development and Care Course 19: Child Attachment Diploma Course 20: Child Psychology Diploma Course 21: Child and Adolescent Mental Health Course 22: Cognitive Behavioural Therapy (CBT) Practitioner Certificate Course Course 23: Child Language Disorder (CLD) Course 24: Children's Mental Health Course 25: Parental Mental Health & Child Protection 5 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques- Course 1: Career Development Plan Fundamentals Course 2: CV Writing and Job Searching Course 3: Interview Skills: Ace the Interview Course 4: Video Job Interview for Job Seekers Course 5: Create a Professional LinkedIn Profile Learning Outcome This tailor-made Safeguarding Children from Abuse bundle will allow you to- Uncover your skills and aptitudes to break new ground in the related fields Deep dive into the fundamental knowledge Acquire some hard and soft skills in this area Gain some transferable skills to elevate your performance Maintain good report with your clients and staff Gain necessary office skills and be tech savvy utilising relevant software Keep records of your work and make a report Know the regulations around this area Reinforce your career with specific knowledge of this field Know your legal and ethical responsibility as a professional in the related field This Safeguarding Children from Abuse Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments. Certification After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and 1 hardcopy certificate for the Title Course completely free. Other Hard Copy certificates need to be ordered at an additional cost of •8. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Safeguarding Children from Abuse bundle! This bundle is also ideal for professionals looking for career advancement. Requirements To participate in this course, all you need is - A smart device A secure internet connection And a keen interest in Safeguarding Children from Abuse Career path Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.

Description A Teaching Assistant (TA) is an individual who assists the teachers in the accomplishment of the learning and leisure activities of the children. Teaching assistants work in close proximity with children in order to ensure that they carry out the classroom activities well. The responsibilities of a teaching assistant are many and may vary from school to school. However, they have to work according to the instructions of the teacher in charge and under her supervision. Even though their rank is lower than the teachers, their role is very important in a classroom. The job of a TA will include getting the classroom ready for students, observing the learning activities of the children, ensuring their security, supervising group tasks, supporting children with Special Education Needs (SEN) and so on. The goal of this course is to give a crystal-clear understanding of the roles and responsibilities of a higher-level teaching assistant. It includes all the do's and don'ts that the teaching assistant must be aware of. The course comprises the communicative strategies that a TA must use for building positive relationships with students. It gives insight into the methods of assessment, monitoring and providing feedback. The course also aims to cover the important stages of child development. There are certain codes of conduct which are to be followed by a TA. They need to challenge any discriminatory practices against the children. The course includes the important laws that they are supposed to know. It also focuses on the requirement of developing their personal and professional development. This is a job where your education and skills will be valued. It will provide you with an opportunity to make a difference in society by helping to mould young minds. If you are a graduate keen to enter the teaching arena this might be the course you are looking for. The course will also be helpful to those in the profession who wish to further hone their skills. What you will learn  1: COMMUNICATION AND POSITIVE RELATIONSHIPS 2: MAINTAINING COMMUNICATION WITH CHILDREN, YOUNG PEOPLE AND ADULTS 3: CURRICULUM, PLANNING AND ASSESSMENT 4: ASSESSMENT, MONITORING, FEEDBACK AND RECORDING 5: CHILD DEVELOPMENT 6: MOTIVATING CHILDREN AND YOUNG PEOPLE 7: EQUALITY, DIVERSITY AND INCLUSION 8: SPECIAL EDUCATIONAL NEEDS 9: PERSONAL PROFESSIONAL DEVELOPMENT 10: DEVELOPING YOUR OWN AREA OF EXPERTISE 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 Educational psychology Diploma Educational psychology relates to the manner in which students learn and develop. It focuses on aspects such as diversity and development in education. Educational psychology is the base upon which the method of teaching is built. And it is essential to hone the skills of trainers and teachers in their profession. Educational psychology gives a foundation for trainers and teachers to organize their teaching job in a coherent and more professional manner. It also helps them evaluate the learning process of each student. The educational system gives a whole lot of chances for psychologists. Since most crucial emotional issues happen in the life of a child's formative years, most primary schools hire psychologists who are equipped in clinical psychology, child development, education and the ability to assess a child's emotional and learning problems. After thoroughly consulting with teachers and parents they come up with plans to help the children in and out of the classroom. The Online Educational Psychology Course provides a deeper understanding of human learning, such as the methods to understand, learn, motivate, etc. It shows the relevance of an approach that is based on evidence in educational psychology and the obstructions it faces in reality. It also discusses concepts like instructional psychology, intelligence, inclusion, etc. Also, the course gives detailed information on matters of school phobia, dyslexia, classroom behaviour, autism, bullying, etc. Educational psychology helps educators to understand various learning and teaching situations and the various abilities, needs, interests, and intelligence of the students or learners. This helps them better their own instructional approaches and skills in such a way that improves the learning processes and experiences. This Educational psychology Diploma equips students with better ideas on educational psychology, its models, practices, theories, approaches and methods. This helps them identify and adapt workable learning and teaching approaches. The course can be ideal for those who are eager to get an idea as to how people take in and keep information. This Educational psychology Diploma course can also be pursued by those who aspire to become educators. What you will learn 1: Introduction to Educational Psychology 2: Learning, Cognition, and Memory 3: Learning in Context 4: Complex Cognitive Processes 5: Cognitive Development 6: Motivation and Affect 7: Personal, Social, and Moral Development 8: Instructional Strategies 9: Strategies for Creating an Effective Classroom Environment 10: Assessment Strategies 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.

The AML, KYC & CDD Diploma is an in-depth, professional qualification designed to enhance your understanding of the crucial processes involved in anti-money laundering (AML), know your customer (KYC), and customer due diligence (CDD). This course provides a thorough exploration of the legal and regulatory frameworks, helping you stay ahead in a rapidly evolving financial landscape. You'll gain knowledge about recognising and preventing financial crimes, assessing risks, and understanding the key principles of maintaining robust systems in your business or organisation. This course is ideal for individuals looking to solidify their expertise in these critical areas, whether you're in finance, banking, or any sector requiring compliance oversight. With a focus on international standards and regulations, you'll be able to confidently navigate through complex situations and ensure the integrity of your financial operations. The QLS Endorsed Diploma offers you a flexible, online learning experience, tailored to equip you with valuable insights and knowledge that you can apply directly to your career or business without the need for physical attendance. Our AML, KYC & CDD Diploma course is endorsed by the Quality Licence Scheme - QLS, ensuring you acquire new skills and enhance your professional development. AML, KYC & CDD Diploma QLS Bundle Includes the following Courses Course 01: Diploma in AML, KYC & CDD at QLS Level 4 Course 02: Risk Assessment Training Course 03: Certificate in Compliance Course 04: CRM - Customer Relationship Management Course 05: GDPR UK Training Key Features of AML, KYC & CDD Diploma Eligibility for QLS endorsed certificate upon successful completion of the AML, KYC & CDD Diploma course Free CPD Accredited Course Fully online, interactive AML, KYC & CDD Diploma course with audio voiceover Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases To become successful in your profession, you must have a specific set of skills to succeed in today's competitive world. In this in-depth AML, KYC & CDD Diplomatraining course, you will develop the most in-demand skills to kickstart your career, as well as upgrade your existing knowledge & skills. Assessment At the end of the AML, KYC & CDD Diploma course, we will provide assignment and quizzes. For each test, the pass mark will be set to 60%. Accreditation This AML, KYC & CDD Diploma course is QLS - Quality Licence Scheme Endorsed and CPD Certified, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification CPD Certified: Once you've successfully completed your AML, KYC & CDD Diploma course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). QLS Endorsed:After successfully completing the AML, KYC & CDD Diploma course, learners will be able to order an endorsed certificate, titled: Diploma in AML, KYC & CDD at QLS Level 4, as proof of their achievement. This certificate of achievement endorsed by the Quality Licence Scheme. CPD 50 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is ideal for all employees or anyone who genuinely wishes to learn more about AML, KYC & CDD Diploma basics. Requirements No prior degree or experience is required to enrol in this AML, KYC & CDD Diploma course. Career path This AML, KYC & CDD Diploma Course will help you to explore avariety of career paths in the related industry. Certificates Digital certificate Digital certificate - Included Hardcopy Certificate Hard copy certificate - Included Hardcopy Certificate (UK Delivery): For those who wish to have a physical token of their achievement, we offer a high-quality, printed certificate. This hardcopy certificate is also provided free of charge. However, please note that delivery fees apply. If your shipping address is within the United Kingdom, the delivery fee will be only £3.99. Hardcopy Certificate (International Delivery): For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10.

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.