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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.

The importance of social media marketing for businesses and organizations is no longer questioned. It has become a worldwide trend which helps businesses and organizations connect with their customers online. Now, every company needs a dynamic web presence. The Complete Online Course on Social Media for Business covers the concepts and application of social media marketing and will equip you with the skills to plan and implement a successful social media marketing strategy. You will understand the social media foundations, and how to plan goals and create a vision. You will learn how to meaningfully measure social media engagement using platforms such as Twitter, Facebook, blogs, LinkedIn, YouTube and their useful features. Who is this Course for? Complete Online Course on Social Media for Business is perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of the English language, numeracy and ICT are required to attend this course. CPD Certificate from Course Gate  At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Social Media Marketing Introduction 00:30:00 Understanding the Value of Social Media Buzz and What It Can Do For Your Business 01:00:00 Developing a Winning Social Media Marketing Plan 01:00:00 Setup and Manage a Facebook Page That Works 01:00:00 Tweet Your Way to Online Prominence 01:00:00 Build Your Network with LinkedIn 01:00:00 Captivate Your Audience with YouTube 01:00:00 Conclusion 00:15:00 Social Media Management for Business Module One - Getting Started 00:30:00 Module Two - What is Social Media? 00:30:00 Module Three - Defining Your Social Media Policy (I) 00:15:00 Module Four - Defining Your Social Media Policy (II) 00:30:00 Module Five - Creating a Living Document 00:30:00 Module Six - Keeping an Eye on Security 00:30:00 Module Seven - Rules to Follow When Posting (I) 00:30:00 Module Eight - Rules to Follow When Posting (II) 00:30:00 Module Nine - Benefits of Social Media 00:30:00 Module Ten - The Pitfalls of Social Media 00:30:00 Module Eleven - Listen to Your Customers 00:30:00 Module Twelve - Wrapping Up 00:30:00 Activities 00:00:00 Facebook Marketing Basics Introduction to Facebook 00:15:00 Why You Should Care 00:15:00 Setting up a Facebook Page 00:30:00 How to Get More Likes for Your Facebook Page 00:30:00 Facebook Advertising 00:30:00 How Much Does Facebook Advertising Cost? 00:30:00 Marketing on Facebook 01:00:00 Create a Content Calendar 00:15:00 Understanding Edge Rank & the Art of Engagement 00:15:00 Twitter Marketing TWITTER FOR BUSINESS 00:15:00 TOP TWITTER TIPS 00:15:00 TWITTER IS 00:15:00 BUSINESS TERMS 00:15:00 WHY USE TWITTER FOR MARKETING 00:15:00 TWITTER MARKETING BASICS 01:00:00 TWITTER METRICS 00:30:00 YOUR BIO 00:15:00 WHEN TO TWEET 00:15:00 BUILDING YOUR COMMUNITY 00:15:00 GENERATING LEADS 00:15:00 REAL-TIME TWITTER MARKETING 00:15:00 ENGAGEMENT 00:15:00 TWETIQUETTE (TWEETING ETIQUETTE) 00:15:00 Social Bookmarking Introduction To Social Bookmarking 00:30:00 The Essential Benefits Of Social Bookmarking 00:30:00 Way To Use Social Bookmarking Correctly 00:30:00 Make Money Social Bookmarking 01:00:00 Identify The Social Bookmarking Competitors 00:15:00 Tips To Avoid Wrapping Traps 00:15:00 Recommended Reading Recommended Reading : Complete Online Course on Social Media for Business 00:00:00 Mock Exam Mock Exam- Complete Online Course on Social Media for Business 00:30:00 Final Exam Final Exam- Complete Online Course on Social Media for Business 00:30:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Become more efficient in your daily routine with our 6 criteria for increased efficiency and understand how to apply each in your situation. Take the stress out of your work by streamlining your tasks and we will show you how to eliminate all the biggest time wasters in your work. Understand the 60 second test to assist with the filing and paperwork in your work area. You will feel like you get more done in half the time and increase your efficiency like you never thought possible. Learning Objectives Apply six techniques for maximizing efficiency, Avoid the 10 biggest time wasters in business, Convert obstacles into opportunities Target Audience Managers, Team Leaders, Young Professionals, Sales Professionals, Customer Service Teams

Getting Started The primary objectives of the Level 5 Diploma in Psychology qualification are to furnish learners with a specialized curriculum that offers in-depth knowledge and comprehension of fundamental aspects within the field of Psychology. The Level 5 units enable learners to specialize and advance in various pertinent subject areas while emphasizing the practical applications of psychology in contemporary contexts. Learners will cultivate and refine their proficiencies in the following domains: mental health and psychopathology, cognitive psychology, visual perception, the various facets of addiction, social psychology encompassing both pro and anti-social behaviours, and individual variations about criminology, intelligence, and personality. Furthermore, learners will also gain an awareness of current discussions and challenges in Psychology.   Key Benefits Proficiency in Schizophrenia Diagnosis and Classification: Develop expertise in accurately diagnosing and categorizing schizophrenia, equipping you with valuable skills for effectively aiding individuals with this condition. Mastery of Criminological Psychology Concepts: Attain a solid grasp of fundamental criminological psychology concepts, enabling you to comprehend criminal behaviour deeply, enhance crime prevention strategies, and collaborate effectively within the criminal justice domain. In-Depth Understanding of Substance Abuse and Dependence Explanations: Cultivate a profound understanding of the underlying factors contributing to substance abuse and addiction, providing you with the knowledge needed to address addiction issues compassionately and offer effective support and intervention. Appreciation of Psychology's Evolving Landscape through Debates: Gain an appreciation for psychology's dynamic nature by exploring the impact of debates on the field. This will nurture your critical thinking abilities and prepare you to actively participate in advancing the discipline. Career Pathways Achievement of the QUALIFI Level 7 Diploma in Psychology allows learners to pursue further education or career opportunities.   Psychology Assistant with an estimated average salary of £26,473 per annum Mental Health Technician with an estimated average salary of £32,500 per annum Addiction Counselor with an estimated average salary of £37,593 per annum Behaviour Technician with an estimated average salary of £41,283 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 This qualification is intentionally designed to be inclusive without imposing unnecessary obstacles that might limit access. Applicants need to be at least 18 years old to be eligible for this qualification. A minimum IELTS score of 6 or an equivalent language qualification is necessary for applicants whose first language is not English. Additionally, international qualifications will be assessed to ensure compatibility with enrolment in UK higher education postgraduate Progression Completing the QUALIFI Level 5 Diploma in Psychology opens up several pathways for learners: Advancement to the QUALIFI Level 6 Diploma. Enrolling in a university to pursue a First Degree. Entering into employment within a related profession. 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. To know about the Qualification Structure, please get in touch with us at: admission@sbusinesslondon.ac.uk 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.

Are you ready to advance your career in business management? With this exclusive Operations Management - Level 7, you can improve your business management skills and build a successful career for life! Discover why operations management is relevant in all industries and sectors! Operations Management is a dynamic field with a straightforward goal. The goal for those in operations management is to maximise profits by balancing costs and revenues. Operations Management aims to administer business practices in a way that drives efficiency and superior net profits by incorporating human resources, raw materials, technology, and equipment across the board. While the specific responsibilities of OM team members vary depending on the size and nature of the organisation, their efforts have an impact on all aspects of a company's operations. The purpose of this Operations Management - Level 7 qualification is to provide learners with important information about the application and skills required in the Operations Management Sector. This Operations Management - Level 7 prepares students to succeed in their professional life by teaching them the concepts of Supply Chain Management and its fundamentals, Risk Management, Talent Management, Project Management, Procurement Operations, Planning & Sourcing Operations, Maintenance Management, Conflict Management, Change Management, Stress Management, Negotiation skills and much more. Learning Outcomes After completing this Operations Management - Level 7 course, the learner will be able to: Gain a thorough understanding of the functions and objectives of operations management. Understand the role of the OM in inventory and supply chain management. Understand project management and risk management. Gain in-depth knowledge about stock control and procurement operations. Understand product manufacturing and shipping. Understand contingency management and succession planning. Understand the importance of business etiquette. Why Choose This Operations Management - Level 7 Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the course. >> Courses are included in this Bundle Course << Course 01: Operations Management - Level 7 Course 02: Level 7 Diploma in Leadership and Management Course 03: Level 5 Diploma in Business Analysis Course 04: Level 5 Diploma in Risk Management Course Course 05: Level 2 Diploma in Business Administration Course 06: Minute Taking Course >> Other Benefits of Operations Management - Level 7 Bundle Course << Free 6 PDF Certificate Access to Content - Lifetime Exam Fee - Totally Free Free Retake Exam [ Note: Free PDF certificate as soon as completing the Operations Management - Level 7 course] Course Curriculum of Operations Management - Level 7 Module 01: Understanding Operations Management Module 02: Understanding Process Management Module 03: Understanding Supply Chain Management Module 04: Understanding Planning & Sourcing Operations Module 05: Understanding Talent Management Module 06: Understanding Procurement Operations Module 07: Understanding Manufacturing and Service Operations Module 08: Understanding Succession Planning Module 09: Understanding Project Management Module 10: Understanding Quality Control Module 11: Understanding Product and Service Innovation Module 12: Understanding Communication Skills Module 13: Understanding Negotiation Techniques Module 14: Understanding Change Management Module 15: Understanding Maintenance Management Module 16: Understanding Conflict Management Module 17: Understanding Stress Management Module 18: Understanding Business Ethics for the Office Module 19: Understanding Business Etiquette Module 20: Understanding Risk Management ---------------------------------- Assessment Method After completing each module of the Operations Management - Level 7 Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification After completing the MCQ/Assignment assessment for this Operations Management - Level 7 course, you will be entitled to a Certificate of Completion from Training Tale. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? This Operations Management - Level 7 course is ideal for anyone passionate and ambitious about Operations Management. Learners can take this course even if they have no prior knowledge of Operations Management, and there are no age restrictions. Requirements There are no specific requirements for this Operations Management - Level 7 course because it does not require any advanced knowledge or skills. Career path This Level 7 Diploma in Operations Management could be extremely beneficial to business owners and aspiring entrepreneurs to pursue their goals. The following are more formal positions in the field of operations management: Operations Manager, Analyst & Officer S.C Manager Inventory Manager Supply Services Representative Inventory Controller & Planner Certificates Certificate of completion Digital certificate - Included

The Professional Certificate Course in Nature of Multinational Enterprises & Their Role in Globalisation provides a comprehensive overview of multinational companies (MNCs), including their functions and characteristics, and factors that have affected their growth. The course also covers MNCs' advantages and disadvantages for host countries, as well as entry strategies for MNCs, such as strategic alliances and greenfield acquisitions. China is used as a case study to examine the importance of knowledge of the local partner's market, regulations and requirements of the local government, and the financial management of MNCs. The course also explores the concept of international diversification and features a case study of Polish multinationals. Overall, the course equips learners with a solid understanding of MNCs and their role in globalisation. The Professional Certificate Course in Nature of Multinational Enterprises & Their Role in Globalisation covers topics such as the functions and characteristics of MNCs, factors affecting their growth, and entry strategies. After the successful completion of the course, you will be able to learn about the following, Multinational Company. Functions, Characteristics of MNCs Factors That Affected MNCs' Growth MNCs' Advantages And Disadvantages For The Host Countries Entry Strategy For MNC's. China and the Strategic Alliance Knowledge of the Local Partner's Market: Regulations and Requirements of the Local Government: Greenfield Acquisition: A Study of Polish Multinationals. Financial Management for Multinational Companies. International Diversification The Nature and Role of Multinational Enterprises course provides a comprehensive overview of multinational companies (MNCs), including their functions and characteristics, and factors that have affected their growth. The course also covers MNCs' advantages and disadvantages for host countries, as well as entry strategies for MNCs, such as strategic alliances and greenfield acquisitions. China is used as a case study to examine the importance of knowledge of the local partner's market, regulations and requirements of the local government, and the financial management of MNCs. The course also explores the concept of international diversification and features a case study of Polish multinationals. Overall, the course equips learners with a solid understanding of MNCs and their role in globalisation. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. The Nature and Role of Multinational Enterprises The course explores The Nature and Role of Multinational Enterprises. The Nature and Role of Multinational Enterprises Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience Business professionals Anyone interested in the global economy and the role of multinational enterprises International trade enthusiasts Students of business, economics, and international relations Government officials and policymakers Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

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Duration 1 Days 6 CPD hours This course is intended for This course is primarily designed for students who want to gain the skills necessary to use VBA to automate tasks in Excel such as collecting data from external sources, cleaning, and manipulating data. The target student may also want to learn how to create custom worksheet functions to streamline worksheet formulas and make complex worksheets easier to support, maintain, and understand. Overview Identify general components of VBA and their appropriate use in solving business solutions. Record VBA macros to automate repetitive tasks. Write VBA code to create VBA subroutines and functions. Use various programming elements to solve problems through code, including variables,objects, conditional statements, and loops. Eliminate, avoid, or handle errors in VBA code, and optimize its performance. VBA (Visual Basic for Applications) enables you to enhance and extend the capabilities of Microsoft Excel and other applications in the Microsoft 365 application suite. You can use VBA to perform tasks that would be difficult or impossible to do using only worksheet functions, and you can automate a wide range of tasks so they can be performed faster, more consistently, and with less effort than performing them manually. This course will give you a good foundation for understanding, creating, and using VBA in your own Excel workbooks. You will learn how to use the macro recorder effectively, as well as how to write your own VBA code from scratch. You will use tools built into Excel to explore and learn VBA's capabilities and to optimize and debug your code. Prerequisites To ensure your success in this course, you should be an experienced Excel user who is comfortable creating and working with Excel workbooks, including tasks such as entering worksheet formulas, using absolute and relative addressing, formatting cells, and creating pivot tables and charts. This level of skill could be acquired by taking the Microsoft Excel for Office 365 (Desktop or Online) courses, Parts 1, 2, and 3. 1. Using VBA to Solve Business Problems Use Macros to Automate Tasks in Excel Identify Components of Macro-Enabled Workbooks Configure the Excel VBA Environment 2. Recording a Macro Use the Macro Recorder to Create a VBA Macro Record a Macro with Relative Addressing Delete Macros and Modules Identify Strategies for Using the Macro Recorder 3. Writing VBA Code Directly Write VBA Code Discover Objects You Can Use Create a Custom Function 4. Solving Problems through Code Make Decisions in Code Work with Variables Perform Repetitive Tasks 5. Improving Your VBA Code Debug VBA Errors Deal with Errors Improve Macro Performance 6. Controlling How and When Macros Run Prompt the User for Information Configure Macros to Run Automatically Additional course details: Nexus Humans VBA with Microsoft Excel (v1.2) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the VBA with Microsoft Excel (v1.2) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.