1114 Courses delivered Online

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 comprehensive program offers an in-depth exploration of the psychological factors that contribute to criminal behavior and the principles of criminology. Through engaging lectures and real-life case studies, you'll understand the underlying motivations behind various criminal acts, study the role of environment, and analyze the impact of social and cultural factors. This course at a glance Eligible to apply for the insurance Accredited by International Practitioners of Holistic Medicine (IPHM) Accredited by CPD UK Endorsed by Quality Licence Scheme Understand what crime and criminology are Acquire knowledge about current criminology and statistics Understand different types and reasons for violence and property crime Acquire knowledge about Eysenck's theory of criminal personality Understand why people become aggressive and learn about violent causation Understand how the various mental disorders are linked to criminal behaviour Acquire knowledge about stalking and sex offending Learn about personality disorders and sex offending Learn and understand the common characteristics of serial killers Why Crime Psychology and Criminology Course right for you? Understanding the thoughts of a criminal is the most effective strategy to reduce crime. Sure, cops can apprehend criminals, but that doesn't mean others won't conduct the same or greater crimes in the future. This comprehensive criminology course online will assist you in analysing and deriving a pattern from a criminal's thoughts, intentions, actions, or reactions in order to assist police or other associated agencies in apprehending criminals or assisting a court during proceedings. This course is ideal for those who aspire to advance their career and become successful as criminal psychologists or criminologists. This course will help you understand crime, criminology, current criminology and statistics by taking this online course. This course will also help you acquire the knowledge of criminology and personality theories, including violence and property crime. After taking this extensive online course, you will also learn about Eysenck's theory of criminal personality and why people become aggressive and violent. Upon successful completion of this criminology course online, you will develop the knowledge and skills required to understand the psychology of criminals and know how to link the actions of an offender to the crime scene. Crime Psychology and Criminology 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.   The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Course Curriculum Introduction to Criminology Promo CP Introduction to the Course What is Crime and Criminology Current Criminology & Statistics The Current Causes & Explanations for Criminal Behaviour Criminology & Personality Theories Understanding 'Violence' (Forms, Types, & Reasons) Understanding 'Property Crime' Eysenck's Theory of Criminal Personality Why People Become Aggressive and Violent Causation Mental Health and Crime Personality Disorders & Attachment Styles Schizophrenia & Criminal Behaviour Antisocial Personality Disorder (ASPD) / Sociopathy Psychopathy and Crime Borderline Personality Disorder (BPD) Borderline Personality Disorder (BPD) and How It's Linked to Criminal Behaviour Narcissistic Personality Disorder (NPD) Bipolar Disorder & Crime Behaviour Severe Crime & Personalities Stalking & Sex Offending Who Are the 'sex Offenders' Personality Disorders & Sex Offending Personality Disorders & Sex Offending Is Anyone Capable of Murder Serial and Mass Murder Common Characteristics of Serial Killer Prevention & Conclusion Is It Possible to Prevent Criminal Behaviour Conclusion of the Course Who should take this course? This criminology course online is primarily aimed at: Criminologist Criminal Psychologist Aspiring Criminal Psychologist Students of Psychology Anyone who works in criminal settings This training is, however, not restricted to a particular profession or field of endeavour. It may also be useful to a broader audience interested in learning more about criminal psychology and the creation of the psychological profile of any criminal. Entry Requirements There are no academic entry requirements for this criminology 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 criminology 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 could grasp from each section. In the assessment pass mark is 60%. Get yourself registered with our Forensic Psychology and Criminology Course and gain the knowledge and skills needed to pursue a career in the criminal justice system or related fields. Certification Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. 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 What GCSEs Do You Need To Study Crime Psychology & Criminology? In order to study for a Diploma in Criminology, students need to achieve a Grade 4 or above in English and in one of the following GCSEs: History, Sociology, Law, Psychology, Citizenship or another comparable Humanities subject. What Levels Do You Need For Criminology? To pursue a career in criminology you typically need to complete certain levels of education such as- a Bachelor's degree, Master's degree, and a Doctoral degree if you wish. Are Criminology And Criminal Psychology The Same? Although criminologists and criminal psychologists both study criminals, their approaches are quite different. Criminology is the study of the causes of lawbreaking offence and methods to prevent and control it. Can You Study Psychology And Criminology? Yes, it is possible to study both. These two fields often complement each other as they involve studying human behaviour.

Tackling Hate Crime Certification Hate crimes and hate incidents are on the rise across the globe. The UK alone has seen almost a 30% increase in the number of hate crimes in one 12 month period. This leaves many people across society wondering what can be done to tackle these types of crimes. There is also some confusion about what a hate crime is and which affected communities are covered under existing legislation. Without accurate information, it can be hard to fight this type of attitude in society. This course provides you with comprehensive information about hate crimes, including their prevalence in today's society. It begins by introducing you to the topic of hate crimes in a general overview, identifying relevant legislation and statistics. It then moves on to cover hate crimes and hate incidents in more detail, as well as letting you know which affected communities are covered by legislation. The role of the bystander as well as the importance of victim support are also discussed. Finally, it gives you a few tips on how to prevent hate crime in your neighbourhood. You Will Learn:- A brief overview of hate crimes, including the relevant legislation The difference between a hate incident and a hate crime Information about the affected communities covered by existing legislation The role of the bystander when witnessing hate crimes How to best support victims of these types of offences Tips on how to prevent hate crimes from happening in your community Benefits of Taking This Course Understanding what hate crimes are and how often they occur Learning about the forms of hate incidents as well as the groups affected by these types of crimes Gaining insight into the value of the witness in these interactions Learning how to help victims and when to get the authorities involved Knowing how to prevent hate crime in your neighborhood Course Modules: Module 1: What is Hate Crime? Module 2: Forms of Hate Incidents Module 3: Role of the Bystander Module 4: Supporting Victims Module 5: Preventing Hate Crime

Learn Python with 200+ real-world examples implemented on PyCharm. Ace functions, classes, objects, dictionary, lists, sets, and tuples. The course also covers math, statistics, and random modules. This is the ideal course for you if you want to advance your Python programming skills or switch to Python programming.

Course Overview Do you struggle to engage your audience when giving work presentations? Is your fear of public speaking impacting your delivery? The Presentation Skills for Beginners course will teach you how to deliver winning workplace presentations and overcome your fear of public speaking in no time. It will teach you best practices for opening and closing presentations effectively, using storytelling, injecting humour, working with statistics and illustrations.  Throughout the course, you will be sharpening your verbal and nonverbal communication skills, to keep your audience hooked from start to finish. You will gain the expertise to speak with confidence and clarity, using an engaging tone of voice. It covers a wide range of public speaking techniques to draw your audience in and structure your presentation. This best selling Presentation Skills for Beginners has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Presentation Skills for Beginners is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Presentation Skills for Beginners is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Presentation Skills for Beginners is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Presentation Skills for Beginners, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Presentation Skills for Beginners will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Presentation Skills for Beginners to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

The Employee Management Course for HR Managers is a wonderful learning opportunity for anyone who has a passion for Leadership & Management and is interested in enjoying a long career in this relevant sector. It's also for anyone who is already a Human Resource (HR) Manager and looking to brush up their knowledge and boost their career with a recognised certification. This Employee Management Course for HR Managers course consists of several modules that takes around 2 hours to complete. The course is accompanied by instructional videos, helpful illustrations, how-to instructions and advice. The course is offered online at a very affordable price. That gives you the ability to study at your own pace in the comfort of your home. You can access the modules from anywhere and from any device. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certification 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. Course Content Employee Recruitment and Selection Procedure Employee Recruitment and Selection Procedure 00:12:00 Employee Training and Development Process Employee Training and Development Process 00:22:00 Performance Appraisal Management Performance Appraisal Management 00:19:00 Employee Relations Employee Relations 00:15:00 Motivation and Counselling Motivation and Counselling 00:19:00 Employee Termination Employee Termination 00:15:00 Employer Record and Statistics Employer Records and Statistics 00:11:00 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.

Staying Human and Happy in a Virtual World How to stay human and happy in a virtual world...sounds catchy, right? Lets face it - while co-located, it is easier to connect with others. When dispersed, there needs to be a concerted effort towards team alignment and successful outcomes. A leader's responsibility is to provide structure, guidance, and a framework. However, studies show that the way you measure a healthy and happy work environment isn't the external governance guardrails, but it's around the motivation employees feel. If we can create environments that ensure our remote employees are engaged, confident, and motivated, we will increase our ability to be competitive and deliver successful outcomes to our customers. In our session, we will build a virtual house of team collaboration and discuss 5 foundational strategies, 6 core statistics, and 2 toolkits to help you and your teams stay human and happy in a virtual world. Key takeaways Learn how we each have an opportunity to influence talent retention in spite of physical location separation Understand the social and economic benefits of making an employee feel valued Practice activities that can be deployed to drive up retention & connectivity, while working remotely

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.

Unlock your potential in business writing with a focus on stock analysis articles. Learn to research, write, and present compelling business articles that not only inform but also command attention. This course is your step-by-step guide to mastering the art of persuasive and insightful business writing.

***Limited Time Offer*** Are you ready to dive into the exciting world of Property Management? As the real estate industry continues to boom, the demand for skilled Property Managers has skyrocketed. In fact, according to the Bureau of Labor Statistics, the employment of Property, Real Estate, and Community Association Managers is projected to grow 8% from 2020 to 2030, adding over 44,800 new jobs to the market. This comprehensive Property Management training bundle covers a wide array of topics, ensuring you gain a well-rounded understanding of the field. Dive into the fundamentals of Property Management, exploring property management principles, legal frameworks, and best practices. Expand your knowledge with courses on Property Development, Property Law and Legislation, Property & Estate Agency, Social Housing and Tenant Management, Wills and Probate Laws. Further, you'll delve into essential business concepts such as Capital Budgeting & Investment Decision Rules, Sales Psychology, Tax Accounting, and Customer Relationship Management, equipping you with the versatile skillset to excel in this dynamic industry. Courses Are Included in this Property Management Bundle: Course 01: Level 3 Diploma in Property Management (Property Manager) - QLS Endorsed Course 02: Property Development Diploma Course 05: Property Law and Legislation Course 03: Property & Estate Agent Course 04: Social Housing and Tenant Management Level 2 Course 06: Understanding Wills and Probate Laws - Level 2 Course 07: Construction Industry Scheme (CIS) Course 08: Capital Budgeting & Investment Decision Rules Course 09: Sales: Psychology of Customers Course 10: Level 3 Tax Accounting Course 11: Customer Relationship Management Learning Outcomes of Property Management Upon completion of the bundle, learners will: Understand the role and responsibilities of a property manager. Gain theoretical knowledge about UK Property laws and regulations. Learn about social housing management and property marketing skills. Understand residential property sales and surveying. Develop foundational knowledge about real estate operations. Understand the Construction Industry Scheme (CIS) and letting agent operations. Learn to write effective business proposals for property projects. Start your learning journey straightaway! Course Curriculum of Property Management 01 Introduction to Property Management 02 The Role and Responsibilities of a Property Manager 03 Listing Properties and Marketing 04 The Letting Process and Tenancy Agreement 05 The Property Management Process 06 Keeping Tenants Long Term 07 Regulations of Property Management 08 Changes in the UK Property Market: An Opportunity CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This bundle is ideal for: Students seeking mastery in this field Professionals seeking to enhance their skills Anyone who is passionate about this topic Career path Property Manager (£22,000 - £45,000) Real Estate Agent (£18,000 - £50,000) Letting Agent (£17,000 - £30,000) Residential Surveyor (£22,000 - £60,000) Property Marketer (£20,000 - £35,000) Social Housing Manager (£26,000 - £40,000)

If you’re looking to start a career in Python coding, but don’t know where to begin, this might be for you. This course is aimed at absolute beginners that have never done any coding before. Early on in the course, you’ll learn what coding is, what certain types of languages are used for, specifically Python, and the types of careers available through learning Python.