30674 Courses in Liverpool delivered On Demand

Begin your journey towards a rewarding and successful career by enrolling in our all-inclusive bundle of 8 Hospitality, Leisure Management with Travel & Tourism courses. At UKHF Online, we have carefully selected and combined these courses to equip you with the vital skills and knowledge necessary to thrive in Hospitality, Leisure Management with Travel & Tourism. Whether you're a student, recent graduate, or job seeker, our Hospitality, Leisure Management with Travel & Tourism bundle is designed to enhance your CV, impress potential employers, and set you apart from the competition. Key Features of the Hospitality, Leisure Management with Travel & Tourism Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Hospitality, Leisure Management with Travel & Tourism bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Hospitality and Revenue Management QLS Course 02: Leisure Management QLS Course 03: Travel & Tourism 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Tour Guide Training Course 02: Tourism Management Course 03: Travel Blogger Course 04: Restaurant Management Course 05: Event Management In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Hospitality, Leisure Management with Travel & Tourism courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes of the Hospitality, Leisure Management with Travel & Tourism Bundle: Master the foundational principles and techniques of Hospitality, Leisure Management with Travel & Tourism. Develop advanced proficiency in Hospitality, Leisure Management with Travel & Tourism methodologies and strategies. Acquire in-depth knowledge of the latest trends and advancements in Hospitality, Leisure Management with Travel & Tourism. Enhance your problem-solving and critical thinking abilities within the context of Hospitality, Leisure Management with Travel & Tourism. Cultivate strong communication and collaboration skills essential for success in Hospitality, Leisure Management with Travel & Tourism. The Hospitality, Leisure Management with Travel & Tourism bundle is a comprehensive collection of courses that have been meticulously designed to provide you with a well-rounded education in Hospitality, Leisure Management with Travel & Tourism. With a combination of 3 QLS-endorsed courses and 5 CPD QS-accredited courses, this bundle offers you the perfect balance of essential knowledge and valuable skills. What's more, we are proud to offer free hardcopy certificates for each course within the Hospitality, Leisure Management with Travel & Tourism bundle, giving you the recognition you deserve. CPD 260 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals looking to start a career in the hospitality, leisure, or travel industries Professionals looking to upskill and enhance their knowledge in these areas Entrepreneurs looking to start their own hospitality or travel business Those looking to switch careers and move into the hospitality, leisure, or travel sectors Is anyone interested in learning more about the inner workings of the hospitality, leisure, and travel industries Career path Hotel Manager: £25,000 - £50,000 Leisure Centre Manager: £25,000 - £40,000 Tour Manager: £18,000 - £40,000 Travel Agent: £17,000 - £25,000 Event Manager: £20,000 - £45,000 Restaurant Manager: £20,000 - £40,000 Marketing Manager (Hospitality/Tourism): £25,000 - £50,000 Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

This program provides an overview of Design Thinking, Lean Startup and Agile methods and illustrates how each should be applied and integrated into the journey of an idea all the way to business value realization. Developing an innovative idea into a stage of business value realization is a long and tedious journey; it involves different types of thinking and working at different stages of the life of the idea. Broadly speaking, this journey can be classified into 3 stages: deep understanding of user needs and innovating solutions; experimenting with a solution concept through prototyping and validating; and implementing the solution prototype into a commercial solution. Design Thinking, Lean Startup and Agile methods fit perfectly into these 3 stages. This program provides an overview of each of these methods and illustrates how each should be applied and integrated into the journey of an idea all the way to business value realization.

Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified IT Support Technical Skills Bootcamp 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 40 course mega bundle that will exceed your expectations within your budget. The IT Support Technical Skills Bootcamp 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 IT Support Technical Skills Bootcamp bundle will help you build a solid foundation to become a proficient worker in the sector. This IT Support Technical Skills Bootcamp Bundle consists of the following 30 CPD Accredited Premium courses - Course 01 :IT Support Technician Course 02 :Network Security and Risk Management Course 03 :CompTIA Network Course 04 :Information Management Course 05 :Web Application Penetration Testing Course Course 06 :CompTIA Cloud+ (CV0-002) Course 07 :Learn Ethical Hacking with Kali Linux Course 08 :Web Design (HTML, CSS, Bootstrap) Complete Course Course 09 :Python Course Course 10 :JavaScript Course 11 :ASP.Net MVC and Entity Framework Course Course 12 :Learn Spring & Angular Material with a Full Web Application Course 13 :Typescript Course 14 :U&P AI - Natural Language Processing (NLP) with Python Course 15 :Ruby on Rails Web Application Framework Course 16 :Data Science and Visualisation with Machine Learning Course 17 :SQL For Data Analytics & Database Development Course 18 :PLC Programming Diploma Course 19 :Cisco ASA Firewall Training Course Course 20 :Create Your First Responsive Website Course 21 :C# (C-Sharp) Course 22 :Computer Operating System and Troubleshooting Course 23 :Building Your Own Computer Course Course 24 :It: Ethical Hacking, IT Security and IT Cyber Attacking Course 25: SQL Database Administrator Course 26: MS Word Essentials - The Complete Word Course - Level 3 Course 27: Data Protection (GDPR) Practitioner Course 28: Website Hacking From Scratch Course 29: Diploma in Front-End Web Development (HTML, CSS, & Bootstrap) Course 30: SQL Server 101 : Microsoft SQL Server for Absolute Beginners 10 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques- Course 01 :Career Development Plan Fundamentals Course 02 :CV Writing and Job Searching Course 03 :Interview Skills: Ace the Interview Course 04 :Video Job Interview for Job Seekers Course 05 :Create a Professional LinkedIn Profile Course 06 :Business English Perfection Course Course 07 :Networking Skills for Personal Success Course 08 :Boost Your Confidence and Self-Esteem Course 09 :Public Speaking Training Course 10 :Learn to Fight Procrastination Learning Outcome This tailor-made IT Support Technical Skills Bootcamp 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 IT Support Technical Skills Bootcamp 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 400 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 IT Support Technical Skills Bootcamp 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 IT Support Technical Skills Bootcamp 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.

Our comprehensive course is designed to provide you with the necessary skills and knowledge to excel in your field. Developed by professionals with years of experience, this course is perfect for anyone looking to kick start their career or advance their skills. It features an audio-visual presentation and easy-to-learn modules, allowing for a self-paced learning experience. Our expert online support team is available during weekdays to assist you throughout the course. Learning Outcomes Upon completion of the course, you will be able to: Understand the fundamentals and its applications. Develop the necessary skills to succeed in the field . Apply your newly acquired knowledge to real-world scenarios. Create effective and efficient solutions for relevant topics. Enhance your employability and career prospects. It is designed to provide you with the knowledge needed to stand out in the competitive job market. With lifetime access to course materials and the ability to learn at your own pace, this course is the perfect opportunity to improve your skills and advance your career. You can learn at your own pace, from the comfort of your home, as all course materials are accessible online at any time. Why Choose Us? Lifetime access to course materials Full tutor support is available Monday through Friday for all courses Learn essentials skills at your own pace from the comfort of your home Gain a thorough understanding of the course Access informative video modules taught by expert instructors 24/7 assistance and advice available through email and live chat Study the course on your computer, tablet, or mobile device Improve your chances of gaining professional skills and earning potential by completing the course. Why should you study this course? The course offers a comprehensive introduction to the subject matter and provides a solid foundation for further study. It will also help students to gain knowledge and skills that can be applied in their professional or personal life. Assessment The course includes a series of quizzes that will test your understanding and retention of the material covered in the course. The quizzes will help you to identify areas where you may need further practice, and you will have the opportunity to review the course materials as needed. Upon successfully passing the final quiz, you will be able to order your certificate of achievement. Career Path The course is designed to equip you with the skills and knowledge you need to succeed in the field. After completing the course, you will be able to pursue a variety of career opportunities in different industries. Course Content Project Management Diploma Module 1: Introduction to Project Management Module 2: Project Planning and Control Module 3: Project Scheduling and Time Management Module 4: Project Cost Management Module 5: Project Quality Management Module 6: Project Risk Management Module 7: Project Procurement Management Module 8: Project Stakeholder Management Module 09: Project Closure and Evaluation Module 10: Agile Project Management

Why Agile Will Change Your Organization's DNA Did you ever try to implement a strategy towards empowerment, transparency, collaboration and efficiency? Did you write it into your strategy and nice PowerPoints? Did you host management presentations, write articles and maybe even roll-out your new strategy through some management workshops and dialogues? ... all to have absolutely nothing change at the receiving end of your organization? Well, you have heard it before - culture eats strategy for breakfast. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Why Agile Will Change Your Organization's DNA Did you ever try to implement a strategy towards empowerment, transparency, collaboration and efficiency? Did you write it into your strategy and nice PowerPoints? Did you host management presentations, write articles and maybe even roll-out your new strategy through some management workshops and dialogues? ... all to have absolutely nothing change at the receiving end of your organization? Well, you have heard it before - culture eats strategy for breakfast. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Awarded by NCFE + Ofqual Regulated + Tutor Support + Fully Online

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.

Thinking about learning more about how Artificial Intelligence can help in a business? The BCS Foundation Award - How AI Can Support Your Organisation explores the evolution of AI from its inception to present day, and identify potential future AI opportunities which exist to drive organisational strategy at all levels. It considers how AI can make improvements to processes, products and services, enabling an organisation to gain a competitive edge within the market, and the benefits and potential implications it has for the human workforce. You will learn the evolution of AI, an understanding of the shape and structure of organisations, an understanding of the role of AI in an organisation and an understanding of the art of the possible.

Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified Business Studies 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 Business Studies 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 Business Studies bundle will help you build a solid foundation to become a proficient worker in the sector. This Business Studies Bundle consists of the following 25 CPD Accredited Premium courses - Course 1: Business Studies Course 2: Introduction to Accounting Course 3: Tax Accounting Diploma Course 4: Business Management and Finance Course Course 5: Diploma in Business Analysis Course 6: Operations Management Course 7: Business Law Course 8: AML for Business Owner Course 9: Import/Export Processing Course 10: Port Management Diploma Course 11: Visual Merchandising Diploma Course 12: Business Data Analysis Course 13: Branding Your Business Course 14: Project Management Course 15: Supply Chain Management Course 16: Purchasing and Procurement Course 17: Marketing Fundamentals Course 18: Diploma in Lean Process and Six Sigma Course 19: Cost Control Process and Management Course 20: Business Performance Management Course 21: Stakeholder Management Course 22: Business Plan for Entrepreneours Course 23: Business Strategy Planning Masterclass Course 24: Financial Management Course 25: Financial Analysis 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 Business Studies 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 Business Studies 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 Business Studies 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 Business Studies 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.