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Microsoft Excel is more than just rows and columns — it's a powerhouse for professionals who know how to make it work for them. This course zeroes in on four of Excel’s most essential lookup functions: VLOOKUP, XLOOKUP, MATCH, and INDEX. Whether you're reconciling data, building dynamic reports, or navigating large spreadsheets, these tools save time, reduce errors, and make you look like you actually enjoy spreadsheets — even if you don’t. You'll learn how each function behaves, when to use one over the other, and how to string them together to achieve powerful results. The course is designed for learners who want to use Excel efficiently, without getting buried in formulas that behave like they’ve had too much coffee. With clear explanations, useful examples, and a touch of logic that even your sleep-deprived Monday brain can follow, this course gets straight to the point. If you've ever stared at a dataset wondering where to begin, you're in the right place — no fluff, just formulas that do the heavy lifting. Learning Outcomes: Utilise Vlookup and Xlookup to retrieve data efficiently Understand how to use Match and Index functions Learn to compare and match large data sets Automate data processing and analysis Improve data accuracy and reliability Increase productivity and save time on manual calculations Course Curriculum: 1.1 Excel vlookup 1.2 Excel xlookup 1.3 Excel vlookup 1.4 Excel vlookup 1.5 Excel vlookup 1.6 Excel vlookup 1.7 Excel vlookup 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 Data Analyst (£26,000 - £45,000) Financial Analyst (£25,000 - £50,000) Business Analyst (£26,000 - £52,000) Accountant (£22,000 - £48,000) Operations Manager (£24,000 - £61,000) Project Manager (£29,000 - £65,000) 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.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for Ethical Hackers, Penetration Testers, Network Server Administrators, Firewall Administrators, Security Testers, System Administrators and Risk Assessment Professionals, Cybersecurity Forensic Analyst, Cyberthreat Analyst, Cloud Security, Analyst Information Security Consultant, Application Security Analyst, Cybersecurity Assurance Engineer, Security Operations Center (SOC) Analyst, Technical Operations Network Engineer, Information Security Engineer, Network Security Penetration Tester, Network Security Engineer, Information Security Architect. Overview Upon successful completion of this course, students will master their Penetration Testing skills, perform the repeatable methodology, become committed to the code of ethics, and present analyzed results through structured reports. The main course outcomes include: 100% mapped with the NICE framework. Maps to the job role of a Penetration Tester and security analyst, based on major job portals. 100% methodology-based Penetration Testing program. Provides strong reporting writing guidance. Blended with both manual and automated Penetration Testing approaches. Gives a real-world experience through an Advanced Penetration Testing Range. Designed based on the most common Penetration Testing services offered by the best service providers in the market. Offers standard templates that can help during a Penetration test. This is a multidisciplinary course with extensive hands-on training in a wide range of crucial skills, including advanced Windows attacks, Internet of Things (IoT) and Operational Technology (OT) systems, filtered network bypass techniques, exploit writing, single and double pivoting, advanced privilege escalation, and binary exploitation. Course Outline Introduction to Penetration Testing Penetration Testing Scoping and Engagement Open Source Intelligence (OSINT) Social Engineering Penetration Testing Network Penetration Testing ? External Network Penetration Testing ? Internal Network Penetration Testing - Perimeter Devices Web Application Penetration Testing Wireless Penetration Testing IoT Penetration Testing OT/SCADA Penetration Testing Cloud Penetration Testing Binary Analysis and Exploitation Report Writing and Post-Testing Actions Additional course details: Nexus Humans Certified Penetration Testing Professional (CPENT) 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 Certified Penetration Testing Professional (CPENT) 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.

Duration 5 Days 30 CPD hours This course is intended for Implementers and administrators who are new to IBM Spectrum Protect data management. Overview Describe the purpose of IBM Spectrum Protect Install and configure the IBM Spectrum Protect components Use the administrative and client interfaces Discuss storage methodology options and create storage pool Customize data movement and retention policies to meet business requirements Configure the IBM Spectrum Protect database and storage pools for protection Optimize client configuration Perform backup, restore, archive and retrieve operations Organize daily tasks required to protect the IBM Spectrum Protect environment Automate and monitor client and administrative tasks and events IBM Spectrum Protect 8.1.12 is a data backup and recovery solution designed to help you manage your data retention, reduce the cost of storage, and provide appropriate recovery point objectives to meet any service level agreement. IBM Spectrum Protect offers improved efficiency and flexibility using object-based data management and policy driven retention.This five-day course will focus on implementation and basic administration of an IBM Spectrum Protect environment. The hands-on lab exercises are performed on a Windows 2016 environment. The course materials include examples of AIX and Linux commands, when different from Windows. Unit 1 Concepts and components Unit 2 Installation and configuration Unit 3 Interfaces and monitoring Unit 4 Storage pools and devices Unit 5 Policy management, data movement, and expiration Unit 6 Server database and storage pool management Unit 7 Client configuration and management Unit 8 Client data protection Unit 9 Daily operations and maintenance Unit 10 Schedules and reports Additional course details: Nexus Humans TS619G IBM Spectrum Protect version 8.1.12 Implementation and Administration 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 TS619G IBM Spectrum Protect version 8.1.12 Implementation and Administration 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.

Level 2 Certificate in Travel and Tourism Travel and tourism is one of the most diverse and important global industries. It makes a significant contribution to the economies of many countries and employs approximately 235 million people worldwide. The Level 2 Certificate in Travel and Tourism is designed for anyone interested in working in the travel industry. This Level 2 Certificate in Travel and Tourism course will provide you with in-depth knowledge about Travel and Tourism that will set you on the right track to launching a career in this field. Travel and tourism is a thriving industry, and those who want to travel always need help when planning their vacation and travel plans. By the end of thisLevel 2 Certificate in Travel and Tourismcourse, you will have a thorough understanding of working in the travel and tourism industry, and you can even start your own business. Main Course: Level 2 Certificate in Travel and Tourism Free Courses: Course 01: Travel and Tourism [ Note: Free PDF certificate as soon as completing the Level 2 Certificate in Travel and Tourism course] Level 2 Certificate in Travel and Tourism Course Curriculum of Level 2 Certificate in Travel and Tourism Module 01: Customer Service in Travel and Tourism Module 02: The UK Travel and Tourism Industry Module 03: Travel and Tourism Destinations Module 04: Travel Agency Operations Assessment Method of Travel and Tourism After completing each module of the Level 2 Certificate in Travel and Tourism 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 of Travel and Tourism After completing the MCQ/Assignment assessment for this Level 2 Certificate in Travel and Tourism course, you will be entitled to a Certificate of Completion from Training Tale which is completely free to download. Who is this course for? Level 2 Certificate in Travel and Tourism This Level 2 Certificate in Travel and Tourism course is ideal for anyone who is looking to work in the travel industry. Requirements Level 2 Certificate in Travel and Tourism There are no specific requirements for this Level 2 Certificate in Travel and Tourism Course because it does not require any advanced knowledge or skills.

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.

Are you passionate about food and dreaming of starting your own takeaway kitchen business? Our comprehensive course, Takeaway Kitchen Business Fundamentals, is designed to equip you with the knowledge and skills to turn your culinary dreams into a thriving reality. Dive into the essentials of running a successful takeaway kitchen, from initial setup to creating an exceptional customer experience. Key Features: CPD Certified Developed by Specialist Lifetime Access The "Takeaway Kitchen Business Fundamentals" course provides a comprehensive guide to starting and running a successful takeaway business. Learners will begin by understanding the basics of launching their own takeaway, including essential steps and considerations. They'll explore the importance of having an online presence and learn how to create an effective online ordering system to attract more customers. The course covers how to restructure management for better efficiency and productivity. Students will gain knowledge about the legal requirements necessary for operating a takeaway business and how to comply with health and safety regulations, especially concerning infectious diseases. Additionally, the course offers strategies to enhance the overall customer experience, ensuring repeat business and positive reviews. By the end of this course, learners will have the skills and knowledge needed to establish and manage a successful takeaway kitchen. Course Curriculum Module 01: Introduction to the course Module 02: Starting a Takeaway Business Module 03: Going Online Module 04: Creating an Online Ordering System Module 05: Restructuring Management Module 06: Legal Requirements Module 07: Complying with Infectious Disease Awareness Guidance Module 08: Enhancing Takeaway Experience Learning Outcomes: Understand the basics of starting a takeaway kitchen business. Learn how to take your takeaway business online. Develop an effective online ordering system for your takeaway. Gain insights into restructuring management for better efficiency. Understand legal requirements for running a takeaway business. Learn to comply with infectious disease awareness guidelines. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring takeaway business owners. Current takeaway managers looking to improve operations. Entrepreneurs interested in the food industry. Small business owners wanting to expand services online. Individuals seeking to understand takeaway business management. Career path Takeaway Business Owner Online Ordering System Manager Takeaway Kitchen Manager Food Industry Entrepreneur Small Business Consultant Food Safety Compliance Officer Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Dive into the essentials of KYC with this comprehensive course. Covering critical aspects such as AML (Anti-Money Laundering), Customer Due Diligence, and UK-specific regulations, this program equips you with the knowledge to navigate industry requirements. Explore methods for executing KYC and AML processes, ensuring compliance, and understanding future trends. Ideal for professionals aiming to enhance their regulatory expertise and safeguard their business operations. Key Features: CPD Certified Developed by Specialist Lifetime Access In this course, learners will understand the basics of Know Your Customer (KYC) and why it's important for businesses. They will learn about Anti-Money Laundering (AML) practices to prevent illegal money activities. The course will teach how to check and verify customer identities through Customer Due Diligence. Learners will explore the specific rules and regulations for KYC, AML, and data privacy in the UK, and understand the requirements industries must follow to comply with these laws. Additionally, the course covers practical methods for conducting KYC and AML checks, and looks at future trends in KYC compliance. By the end of the course, learners will be equipped with the knowledge to help their businesses meet legal standards and protect against financial crimes. Course Curriculum: Module 01: Introduction to KYC. Module 02: AML (Anti-Money Laundering). Module 03: Customer Due Diligence. Module 04: UK Business Regulations: KYC, AML, Data Privacy. Module 05: Regulations to Be Compiled by Industries. Module 06: KYC and AML Methods: Future Compliance Insights. Learning Outcomes: Understand the principles of KYC and its importance in finance. Identify key components of AML regulations and their application. Conduct effective customer due diligence processes according to regulatory standards. Analyse UK-specific KYC, AML, and data privacy laws for compliance. Assess regulatory requirements across various industries for KYC implementation. Explore emerging methods in KYC and AML and their future implications. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Financial analysts seeking regulatory compliance knowledge. Compliance officers in banking and financial sectors. Business managers need understanding of KYC and AML practices. Legal professionals advising on financial regulations. Consultants working with financial institutions on regulatory issues. Career path Compliance Analyst Risk Manager Financial Investigator Regulatory Consultant Fraud Prevention Specialist Anti-Money Laundering Officer Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Are you ready to Hop on a journey into the future of gardening? Picture this: a lush, vibrant oasis flourishing within the confines of your own home or greenhouse. Dive deep into the realm of hydroponics, where soil is but a memory and plants thrive in nutrient-rich waters. Our comprehensive course opens the gates to this fascinating world, guiding you through each stage with expert knowledge and hands-on techniques. Key Features: CPD Certified Developed by Specialist Lifetime Access Delve into the heart of hydroponic culture, discovering the intricate systems that sustain plant life without the need for traditional soil. From understanding plant nutrition to mastering the art of equipment selection, each module equips you with essential skills to nurture your botanical wonders. Dive into the realm of rooting media, seedling care, and plant maintenance, ensuring your green companions reach their full potential. Encounter and overcome nutritional challenges with confidence, learning to troubleshoot and adapt as you cultivate your own green paradise. And with a special focus on greenhouse growing, you'll unlock the secrets to creating thriving ecosystems in controlled environments, harnessing the power of nature to transform your surroundings into a haven of abundance. Course Curriculum Module 01: Introduction to Hydroponics Module 02: Systems of hydroponic culture Module 03: Plant Nutrition Module 04: Equipment Module 05: Rooting media Module 06: Seedling and Plant Maintenance Module 07: Nutritional Problems and Solutions in Plant Module 08: Growing in Greenhouses Learning Outcomes: Understand fundamentals of hydroponic gardening for efficient plant cultivation. Identify various hydroponic systems and their suitability for different plants. Analyze plant nutrition requirements and implement appropriate feeding schedules. Select and utilize equipment necessary for successful hydroponic gardening operations. Explore different rooting media options and their impact on plant growth. Demonstrate proficiency in greenhouse hydroponic cultivation techniques for optimal yields. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Beginners interested in innovative gardening techniques. Horticulture enthusiasts seeking advanced cultivation methods. Farmers aiming to enhance crop productivity and sustainability. Urban dwellers keen on indoor gardening solutions. Students pursuing agricultural or botanical studies. Career path Hydroponic Farm Manager Greenhouse Technician Agricultural Research Assistant Urban Agriculture Consultant Hydroponic Equipment Sales Representative Botanical Garden Curator Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Are you ready to turn your business dreams into reality? Whether you're aspiring to launch your first start-up or looking to refine your entrepreneurial skills, our comprehensive Diploma on Entrepreneurship is designed to guide you every step of the way. Our expert-led curriculum covers everything you need to know to start, manage, and grow a successful business. Key Features: CPD Certified Developed by Specialist Lifetime Access Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access As part of this diploma programme in entrepreneurship, students will study the essential processes for launching and operating a profitable company. They will start by deciding on the best kind of business and learning the fundamentals of getting established. They are guided by the course in developing a strong business plan and examining the competition in the market. Along with learning how to obtain financing, learners will also uncover efficient marketing techniques for promoting their businesses. Essential company operations are covered throughout the course, such as recruiting the correct staff and handling everyday tasks. Key elements include personnel training and business growth methods, which guarantee that learners are prepared to successfully expand their endeavors. All things considered, this curriculum offers the knowledge and abilities needed to transform creative ideas into profitable ventures. Course Curriculum: Module 01: Decide on the Type of Business Module 02: Basics of Starting a Business Module 03: Create a Business Plan Module 04: What Is the Market Competition Like Module 05: Market the Business Module 06: Get Financing Module 07: Run the Business Module 08: Hire Employees Module 09: Training Employees Module 10: Grow the Business Learning Outcomes: Identify the type of business to start. Understand basics for starting a business. Develop a comprehensive business plan. Analyze the market competition effectively. Implement strategies to market the business. Secure financing for the business. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring entrepreneurs. Small business owners. Startup enthusiasts. Business graduates. Career changers. Career path Entrepreneur Business consultant Start-up advisor Market analyst Business development manager Small business owner Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.