3989 Operations courses in Abertillery delivered On Demand

Consider this, Most people don't know how to cook a basic meal. It could be an embarrassing dinner party or event, a bad performance review, or difficulty at work due to being unable to make the daily lunch. However, you may feel overwhelmed by the prospect of learning to cook everything when you could be mastering something more relevant to your career. After all, do you need to be an expert chef if you're going into marketing? For those who have yet to gain experience in the kitchen and prefer not to focus on culinary arts first, a catering course may be ideal. These courses cover essential skills needed for entry-level positions in catering, such as event planning and marketing. Students will also learn skills related to food purchasing and cost control from this course. Thus, advance your career and gain the confidence to start a new catering business with having proper knowledge about food and catering from our exclusive course. What you will discover are the following: Get acquainted with the role of a kitchen assistant. Learn more about hospitality and catering services Deepen your understanding of food preparation and management Know more about how to maintain food hygiene from this course Equip yourself with the expertise in food catering and launch your own food catering business Course Significant Points: Accredited CPD course Exam retakes are unlimited, and tutoring is available Easy access to course materials; guaranteed learning satisfaction Lifetime access and 24/7 support Self-paced online course modules cover exploring various job positions Learn at your own pace from the comfort of your home, as the rich learning materials of this course are accessible from any place at any time. The curriculums are divided into tiny bite-sized modules by industry specialists. And you will get answers to all your queries from our experts. So, enrol and excel in your career with Compliance Central. Curriculum Breakdown of the Catering Course: Module 01: Overview Module 02: Laws and Legislations Module 03: Food Safety and Hygiene Module 04: Food Safety in Catering Module 05: Management of Food and Beverage Operations Module 06: Marketing and Human Resource Who is this course for? Anyone interested in learning about the catering industry Anyone starting a catering company Anyone interested in learning how to launch a business Anyone seeking a new source of money Businessman Anyone with inquiries regarding a catering company Requirements To enrol in this Catering course, all you need is a basic understanding of the English Language and an internet connection. Career path You can explore popular and in-demand careers associated with this course after completing it. Some job fields you can look into are: Catering Assistant Restaurant Supervisor Catering & Hospitality Attendant Catering Assistant Hospitality Manager Kitchen Assistant The annual salary of these positions is around £10.57 per hour in the UK Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Are you looking to enhance your Legal Support Services Manager skills? If yes, then you have come to the right place. Our comprehensive course on Legal Support Services Manager will assist you in producing the best possible outcome by mastering the Legal Support Services Manager skills. The Legal Support Services Manager course is for those who want to be successful. In the Legal Support Services Manager course, you will learn the essential knowledge needed to become well versed in Legal Support Services Manager. Our Legal Support Services Manager course starts with the basics of Legal Support Services Manager and gradually progresses towards advanced topics. Therefore, each lesson of this Legal Support Services Manager course is intuitive and easy to understand. Why would you choose the Legal Support Services Manager course from Compliance Central: Lifetime access to Legal Support Services Manager course materials Full tutor support is available from Monday to Friday with the Legal Support Services Manager course Learn Legal Support Services Manager skills at your own pace from the comfort of your home Gain a complete understanding of Legal Support Services Manager course Accessible, informative Legal Support Services Manager learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Legal Support Services Manager Study Legal Support Services Manager in your own time through your computer, tablet or mobile device. A 100% learning satisfaction guarantee with your Legal Support Services Manager Course Legal Support Services Manager Curriculum Breakdown of the Legal Support Services Manager Course Course Outline: Module 01: Introduction to Legal Secretary Module 02: English Law & Legal Systems Module 03: Law of Contract & Law of Tort Module 04: Wills, Probate, Estate Law Module 05: Property Law & Conveyancing Practice Module 06: Criminal Law Module 07: Understanding Criminal Psychology Module 08: Contract & Business Law Module 09: Family Law and Insurance Practice Module 10: Conflict and Conflict Resolution Module 11: Professional Writings and Documents Module 12: Document Proofreading and Editing Module 13: Meeting Management & Minute Taking Module 14: Data Management and Record-Keeping Module 15: Other Essential Skills for Secretarial Role Module 16: Human Rights CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Legal Support Services Manager course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Legal Support Services Manager. It is also great for professionals who are already working in Legal Support Services Manager and want to get promoted at work. Requirements To enrol in this Legal Support Services Manager course, all you need is a basic understanding of the English Language and an internet connection. Career path Legal Operations Manager: £40,000 to £80,000 per year Legal Project Manager: £35,000 to £65,000 per year Compliance Manager: £45,000 to £80,000 per year Contracts Manager: £35,000 to £60,000 per year Legal Technology Manager: £40,000 to £75,000 per year Legal Support Services Supervisor: £30,000 to £50,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Data Analyst Course is Now The Most Demanding Course to Advance Your Career! Data Analysis Course is for those who want to advance in this field. Throughout this course, you will learn the essential skills and gain the knowledge needed to become well versed in Data Analyst. Data Analyst course includes: Course 01: Diploma in Data Analysis Fundamentals Course 02: Excel Pivot Tables for Data Reporting Course 03: Complete Microsoft SQL Server from Scratch: Bootcamp Our course starts with the basics of Data Analysis and gradually progresses towards advanced topics. Therefore, each lesson of this course intuitive and easy to understand. Data Analyst Course Learning Outcomes: Upon successful completion of this highly appreciated Data Analysis Course, you'll be a skilled professional, besides- You can provide services related to Data Analysis with complete knowledge and confidence. You'll be competent and proficient enough to start a Data Analytics related Data Analyst on your own. Furthermore, you can train up others and grow an efficient peer community on your locality and serve people. It will enhance your portfolio, you can use the certificate as proof of your efficiency to the employer. It will boost up your productivity, you can use the skill and credentials, and become more competent in your vocation with increased earning! So, stand out in the job market by completing the Data Analyst (Data Analytics) Course. Get an accredited certificate and add it to your resume to impress your employers. Along with the Data Analysis course, you also get: Lifetime Access Unlimited Retake Exam & Tutor Support Easy Accessibility to the Course Materials- Anytime, Anywhere - From Any Smart Device (Laptop, Tablet, Smartphone Etc.) 100% Learning Satisfaction Guarantee Learn at your own pace from the comfort of your home, as the rich learning materials of this course are accessible from any place at any time. The curriculums are divided into tiny, bite-sized modules by industry specialists. And you will get answers to all your queries from our experts. So, enrol and excel in your career with Compliance Central. Curriculum Topics: Agenda and Principle Process Voice of Customer Data Analysis Tools Pareto Chart, Histogram, Run Chart, Control Chart Data Performance Presentation Pivot Table Fundamental SQL Statement Basics and Operations CPD 40 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Data Analysis course. Requirements To enrol in this Data Analysis course, all you need is a basic understanding of the English Language and an internet connection. Career path After completing this course, you can explore trendy and in-demand jobs related to Data Analysis. Data Analyst: £25,000 to £45,000 per year Business Intelligence Analyst: £30,000 to £55,000 per year Data Scientist: £35,000 to £65,000 per year Data Engineer: £40,000 to £70,000 per year Market Research Analyst: £22,000 to £40,000 per year Database Administrator: £30,000 to £55,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included 3 CPD Accredited PDF Certificate Hard copy certificate Hard copy certificate - £9.99 CPD Accredited Hard Copy Certificate for £9.99 each. Delivery Charge: Inside the UK: Free Outside of the UK: £9.99

Leadership Management & Team Leader This Leadership Management & Team Leader will help you advance your career by providing you with the most up-to-date leadership and management information. The Leadership Management & Team Leader course requires no prior knowledge or experience, as candidates are introduced to the characteristics and qualities of an effective leader. Learn how to build and optimize a high-performing team, cultivate an engaging organizational culture, and provide constructive feedback to coworkers by enrolling in this Leadership Management & Team Leader course. This Leadership Management & Team Leader course will help you get closer to your goals if you are new to leadership or looking to advance in your current position! By the end of Leadership Management & Team Leader, you will have a solid understanding of what makes a great leader and how to put the strategies you have learned into practice to advance your career. Enrol in this Leadership Management & Team Leader course to learn how to improve your leadership and management skills. ***Courses are included in Leadership Management & Team Leader Course Course 01: Leadership and Management Course 02: HR Management Course 03: Level 7 Project Management Course 04: Level 7 Operations Management Course 05: Level 4 Time Management [ Note: Free PDF certificate as soon as completing the Leadership Management: Leadership Management & Team Leader course ] Leadership Management & Team Leader Course Curriculum Leadership Management & Team Leader Module 1: Understanding Management and Leadership Module 2: Leadership over Yourself Module 3: Creativity and Innovation Module 4: Leadership and Teambuilding Module 5: Motivation and People Management Module 6: Communication and Leadership Module 7: Presentation, One-to-one Interview and Meeting Management Module 8: Talent Management Module 9: Strategic Leadership Module 10: Stress Management Assessment Method of Leadership Management & Team Leader After completing each module of Leadership Management: Leadership Management & Team Leader 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 Method of Leadership Management & Team Leader After completing the MCQ/Assignment assessment for this Leadership Management: Leadership Management & Team Leader course, you will be entitled to a Certificate of Completion from Training Tale. Who is this course for? Leadership Management & Team Leader This Leadership Management & Team Leader Course is for anyone serious about their professional development. This Leadership Management & Team Leader course is designed primarily for group leaders, managers at all levels, and business professionals. Students and recent graduates who want to improve their resumes and gain experience are also welcome to enrol in this Leadership Management & Team Leader Course. Requirements Leadership Management & Team Leader There are no specific requirements for this Leadership Management: Leadership Management & Team Leader Course because it does not require any advanced knowledge or skills. Students who intend to enrol in this Leadership Management: Leadership Management & Team Leader Course must meet the following requirements: Leadership Management: Good command of the English language Leadership Management: Must be vivacious and self-driven Team Leader: Minimum Basic computer knowledge Team Leader: A minimum of 16 years of age is required Career path Leadership Management: Leadership Management Certificates Certificate of completion Digital certificate - Included

Evernote isn’t just a place for your notes—it’s a digital workspace that, when used right, can streamline your thought process, boost productivity, and help you keep tabs on just about everything. This advanced course takes experienced users beyond the basics, offering clever techniques and thoughtful strategies to use Evernote like a seasoned pro. From organising complex projects to managing an overflowing archive of ideas, you’ll learn how to make the most of every tag, notebook and shortcut without turning your account into a digital labyrinth. Whether you’re building out a knowledge base or creating a more structured system for personal or professional use, this course delivers the insights needed to sharpen your digital organisation. It’s aimed at those who’ve already explored the surface of Evernote and are now ready to do more with less clutter. Expect a smarter, faster way of navigating your ideas—without needing to reinvent your workflow. Learning Outcome Utilise Evernote's business notebooks for content collection and organisation Strategize and organise team projects using templates and shared spaces Collaborate effectively with team members using work chat and shared documents Assign tasks and manage joint team expenses Name documents and artefacts for easy searching and organisation Interface with customers, suppliers, and partners for seamless collaboration Increase productivity and efficiency through advanced Evernote features and tools. Course Curriculum: Evernote Advanced Collaboration Overview Business Notebooks Content Collection Strategize Organize Sharing Assigning Work Chat Shared Documents 28 Voice Messages Personal and Shared Space Naming Documents Artifacts Team Training Center Customers and Suppliers Interface Partners and Team Members Interface Creating Templates For Future Collaboration Utilising Previously Created Templates Managing Joint Team Expenses Conclusion How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The course is ideal for highly motivated individuals or teams who want to enhance their professional skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Project Manager - £35,000 - £60,000 per annum Marketing Manager - £35,000 - £70,000 per annum Sales Manager - £40,000 - £80,000 per annum Business Analyst - £30,000 - £50,000 per annum Operations Manager - £40,000 - £80,000 per annum Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Master the art of project and task management with Trello — a refreshingly visual and flexible tool trusted by teams and individuals alike. This course is tailored for anyone looking to organise tasks, streamline workflows, and finally get on top of their never-ending to-do list. Whether you're managing team projects or simply trying to sort out your life’s chaos, this course will guide you through the smart way to use Trello without the fuss or jargon. From the moment you start, you’ll be walked through Trello’s features in plain English, with just enough cleverness to keep you smiling while you learn. We’ll take you through everything from building your first board to managing complex workflows using labels, checklists, and automation — all without making it feel like a chore. If you’ve ever opened Trello and closed it again out of confusion, this course is your friendly nudge in the right direction. Learning Outcomes: Navigate the Trello interface with ease Configure Trello settings to match your workflow preferences Use Trello Power-Ups to streamline your project management processes Create and manage cards, due dates, labels, comments, and attachments Organise boards, teams, and checklists for optimal productivity Import data from other tools and integrate Trello with Google Drive Utilise Trello on mobile devices for on-the-go productivity Course Curriculum: Overview and Pricing Working With the Menu Configure Settings Trello Power-Ups Cards and Due Dates Creating Labels and Comments Adding Attachments Adding Checklists Custom Fields Send a Card By Email To Trello Profile Activity Tracking Creating Boards Creating Teams Creating Checklists For The Team Importing Data Direct Integrations Google Drive Tracking and Storage Sharing And Discussion Trello On Mobile How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The course is ideal for highly motivated individuals or teams who want to enhance their professional skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Project Manager: £30,000 - £60,000 per year Operations Manager: £40,000 - £70,000 per year Digital Marketer: £20,000 - £40,000 per year Social Media Manager: £25,000 - £40,000 per year Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

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.

Dive into the dynamic world of retail banking and discover its intricate workings with the course, 'Retail Banking Fundamentals: Navigating the Financial World'. This comprehensive guide unravels the complexities of the financial realm, presenting them in an easy-to-grasp manner for those eager to embark on a journey into the banking sector. From the foundational aspects of banking to the nuanced skills of cash sorting and fraud handling, every module has been designed to provide a holistic understanding of the industry and empower you to navigate the financial world with confidence. Learning Outcomes Understand the foundational concepts of retail banking and its various services. Differentiate between the categories of banking institutions and their functions. Develop proficiency in bank account operations, from opening to management. Acquire essential skills in bookkeeping, payment processing, and handling fraudulent activities. Grasp the principles of customer service, risk management, and ethics within the banking domain. Why buy this Retail Banking Fundamentals: Navigating the Financial World? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Retail Banking Fundamentals: Navigating the Financial World there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Retail Banking Fundamentals: Navigating the Financial World for? Individuals aspiring to pursue a career in the retail banking sector. Current banking employees seeking to deepen their knowledge and understanding. Finance and commerce students aiming to expand their educational horizon. Entrepreneurs and business owners who interact regularly with banks. Anyone interested in understanding the mechanics of the financial world. Prerequisites This Retail Banking Fundamentals: Navigating the Financial World does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Retail Banking Fundamentals: Navigating the Financial World was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Bank Teller - Average UK salary: £18,000 - £22,000. Customer Service Representative (Bank) - Average UK salary: £19,000 - £23,500. Risk Management Analyst - Average UK salary: £32,000 - £47,000. Bank Branch Manager - Average UK salary: £30,000 - £55,000. Fraud Investigator - Average UK salary: £28,000 - £43,000. Bookkeeper - Average UK salary: £20,000 - £27,000 Course Curriculum Module 01: Introduction to Banking Introduction to Banking 00:13:00 Module 02: Banking Services Banking Services 00:11:00 Module 03: Categories of Banking Institutions Categories of Banking Institutions 00:13:00 Module 04: Bank Teller Bank Teller 00:08:00 Module 05: Bank Accounts and Opening Them Bank Accounts and Opening Them 00:14:00 Module 06: Mathematics for Bank Tellers Mathematics for Bank Tellers 00:15:00 Module 07: Bookkeeping and Payment Bookkeeping and Payment 00:14:00 Module 08: Cash Sorting & Counterfeit Identification Cash Sorting & Counterfeit Identification 00:12:00 Module 09: Fraud Handling Fraud Handling 00:12:00 Module 10: Customer Services Customer Services 00:12:00 Module 11: Banking Risk Management Banking Risk Management 00:13:00 Module 12: Ethics Ethics 00:06:00

Build your communication skills to boost the productivity of office administration. Learn Business Etiquette, Organisational Skills, Effective Planning and Scheduling.

Learn advanced joins, folder and workbook integration, and data transformation in our 120-minute course on Microsoft Excel Power Query.