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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.

This course is perfect for quality assurance professionals who want to step into automation testing with Cypress. You will learn Cypress from scratch and become a specialist in building a solid Cypress automation framework to test any real-world web application.

Course Overview Did you know, high-quality food photographs can increase the traffic of your blog up to 80%? If you are a restaurant owner or if you run a business in the culinary industry, then high-quality food photography can boost your business and increase your sale significantly. Learn food photography with the Basics of Food Photography course now. The Basics of Food Photography course will discuss different aspects of food photography. You will learn the basics of food photography, how to capture the best shot using light and shade to make your food look delicious and eye-pleasing, common mistakes, lighting, composition, styling and many other techniques to capture the best photo of your food. This course is ideal for food vloggers, bloggers, photographers, restaurant owners, influencers, review writers or anyone who wants to learn food photography. Learning Outcomes Be able to capture eye-pleasing food photography Use lighting and angle to highlight the beauty of the food Style the frame with the ingredients you have Learn about the common mistakes and how to avoid them Who is this course for? This online course is for anyone who wants to learn more about food photography and photo editing. This course will help learners from any level to learn the importance and functions of food photography. Entry Requirement This course is available to all learners of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. A good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will obtain an Accredited Certificate of Achievement. You can also obtain a Course Completion Certificate following the course completion. Certificates can be obtained either in hardcopy at £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere, anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path Basics of Food Photography is a useful qualification to possess and would be beneficial for any related profession or industry such as: Food Vlogging Blogging Photography Review Writing Section 01: Introduction Introduction 00:02:00 Section 02: The Basics of Food Photography Camera and Lenses 00:04:00 Lighting 00:02:00 Composition 00:03:00 Styling 00:07:00 Shooting 00:04:00 Editing 00:01:00 Section 03: An example of a mobile photo session Shooting session example 00:03:00 Quick editing in Lightroom mobile 00:05:00 Photo analyses and comparison 00:03:00 Section 04: Conclusion Final tips 00:02:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

Level-4 QLS Endorsed | 30 in 1 Diploma Bundle | +Gifts: 30 Free CPD PDF Certificate | Lifetime Access

Are you looking to enhance your Secretary skills? If yes, then you have come to the right place. Our comprehensive course on Secretary Skills will assist you in producing the best possible outcome by mastering the Secretary Skills skills. The Secretary Skills course is for those who want to be successful. In the Secretary Skills course, you will learn the essential knowledge needed to become well versed in Secretary Skills. Our Secretary Skills course starts with the basics of Secretary Skills and gradually progresses towards advanced topics. Therefore, each lesson of this Secretary Skills course is intuitive and easy to understand. Why would you choose the Secretary Skills course from Compliance Central: Lifetime access to Secretary Skills course materials Full tutor support is available from Monday to Friday with the Secretary Skills course Learn Secretary Skills skills at your own pace from the comfort of your home Gain a complete understanding of Secretary Skills course Accessible, informative Secretary Skills learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Secretary Skills Study Secretary Skills in your own time through your computer, tablet or mobile device. A 100% learning satisfaction guarantee with your Secretary Skills Course Secretary Skills Curriculum Breakdown of the Secretary Skills Course Course Outline: Module 1: Introduction to Personal Assistant Module 2: Business Telephone Skills Module 3: Representing Your Boss and Company Module 4: Mail Services and Shipping Module 5: Travel Arrangements Module 6: Organising Meeting and Conferences Module 7: Time Management Module 8: Record Keeping and Filing Systems Module 9: Business Writing Skills Module 10 :Organisational Skills Module 11: Communication Skills Module 12: Customer Service Module 13: Effective Planning and Scheduling Module 14: Invoicing/Petty Cash Module 15: Professional Conduct and Ethics CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Secretary Skills course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Secretary Skills. It is also great for professionals who are already working in Secretary Skills and want to get promoted at work. Requirements To enrol in this Secretary Skills course, all you need is a basic understanding of the English Language and an internet connection. Career path Administrative Assistant: £18,000 to £25,000 per year Office Manager: £25,000 to £35,000 per year Executive Assistant: £25,000 to £40,000 per year Personal Assistant: £20,000 to £35,000 per year Office Administrator: £18,000 to £25,000 per year Communications Coordinator: £22,000 to £30,000 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

The MOST DEMANDED PATHWAY are WAITING for YOU Service Helpdesk & Technical Support 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 Service Helpdesk & Technical Support. Our course starts with the basics of Service Helpdesk & Technical Support and gradually progresses towards advanced topics. Therefore, each lesson of this Service Helpdesk & Technical Support is intuitive and easy to understand. Service Helpdesk & Technical Support Learning Outcomes: Learn how to manage voicemails and interoffice calls. There are several phone etiquette rules you should review. How to get better at making business calls. Relationship-building techniques over the phone. How to deal with a stiff collar and active listening. Editing internal business transactions. Using the phone to troubleshoot, putting record-keeping and file processes in place. Learn about communication and organisational skills. How to create timetables and plans that work. Along with the Service Helpdesk & Technical Support course, you also get: Lifetime Access Unlimited Retake Exam & Tutor Support Easy Accessibility to the Course Materials 100% Learning Satisfaction Guarantee Curriculum Breakdown of the Course:- Managing Interoffice Calls and Voicemail Aspects of Phone Etiquette Business Telephone Skills Building Rapport Over the Phone Inbound and Outbound Calls Active Listening and Managing Tough Callers Mail Services and Shipping Intra Organisation Dealings Problem-Solving over the Phone Record Keeping and Filing Systems Business Writing Skills Organisational Skills Communication Skills Customer Relationship Management Effective Planning and Scheduling Invoicing/Petty Cash Each topic has been designed to deliver more information in a shorter amount of time. This makes it simple for the learners to understand the fundamental idea and apply it to diverse situations. Certification CPD Accredited (CPD QS) Certificate Digital (PDF) & Hardcopy certificates are available CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Service Helpdesk & Technical Support course. Requirements To enrol in this Service Helpdesk & Technical Support 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 Service Helpdesk & Technical Support, such as- Customer Service Call Center Operator Emergency Caretaker Office Executive Production Manager Certificates Certificate of completion Digital certificate - Included Get a CPD accredited PDF certificate for Free. Certificate of completion Hard copy certificate - Included Get a CPD accredited PDF certificate for Free. After successfully completing this Service Helpdesk & Technical Support course, you get a PDF and a hardcopy certificate for free. The delivery charge of the hardcopy certificate inside the UK is £3.99 and international students need to pay £9.99 to get their hardcopy certificate.

Are you looking to enhance your Reception Manager skills? If yes, then you have come to the right place. Our comprehensive course on Reception Manager will assist you in producing the best possible outcome by mastering the Reception Manager skills. The Reception Manager course is for those who want to be successful. In the Reception Manager course, you will learn the essential knowledge needed to become well versed in Reception Manager. Our Reception Manager course starts with the basics of Reception Manager and gradually progresses towards advanced topics. Therefore, each lesson of this Reception Manager course is intuitive and easy to understand. Why would you choose the Reception Manager course from Compliance Central: Lifetime access to Reception Manager course materials Full tutor support is available from Monday to Friday with the Reception Manager course Learn Reception Manager skills at your own pace from the comfort of your home Gain a complete understanding of Reception Manager course Accessible, informative Reception Manager learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Reception Manager Study Reception Manager in your own time through your computer, tablet or mobile device. A 100% learning satisfaction guarantee with your Reception Manager Course Reception Manager Curriculum Breakdown of the Reception Manager Course Course Outline: Module 01: Introduction to Reception and Receptionist Module 02: Business Telephone Skills Module 03: Representing Your Boss and Company Module 04: Mail Services and Shipping Module 05: Travel Arrangements Module 06: Organising Meeting and Conferences Module 07: Time Management Module 08: Record Keeping and Filing Systems Module 09: Business Writing Skills Module 10: Organisational Skills Module 11: Communication Skills Module 12: Customer Service Module 13: Effective Planning and Scheduling Module 14: Invoicing/Petty Cash CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Reception Manager course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Reception Manager. It is also great for professionals who are already working in Reception Manager and want to get promoted at work. Requirements To enrol in this Reception Manager course, all you need is a basic understanding of the English Language and an internet connection. Career path Hotel Front Desk Manager: £25,000 to £40,000 per year Customer Service Manager: £30,000 to £50,000 per year Event Coordinator: £22,000 to £35,000 per year Guest Relations Manager: £28,000 to £45,000 per year Office Manager: £25,000 to £40,000 per year Concierge Manager: £28,000 to £45,000 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

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Search Engine Optimisation (SEO) is an indispensable skill in today's digital world, with businesses increasingly recognising the value of a robust online presence. As more and more companies strive to improve their search engine rankings, the demand for skilled SEO professionals is skyrocketing, opening up a wealth of opportunities in this rapidly growing industry. Discover the secrets of Search Engine Optimisation and become an indispensable asset to any business with our comprehensive SEO course. Unlock the power of organic search, driving traffic, and higher rankings with cutting-edge strategies that'll leave your competition in the dust. Dive deep into the world of SEO, from core concepts to advanced techniques, mastering on-page optimisation, keyword research, and content creation. Build your skillset and maximise your potential in the ever-evolving digital landscape with our expertly crafted course curriculum. Learning Outcomes: Understand the fundamentals of SEO. Master on-page optimisation techniques. Conduct thorough keyword research. Optimise keywords for maximum impact. Craft high-quality SEO content. Execute off-page SEO strategies. Analyse and measure SEO success. Implement SEO best practices. Along with the Search Engine Optimisation 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. SEO - Master Search Engine Optimisation in 2021 Section 1: Introduction to the SEO Course Section 2: SEO Core Concepts Section 3: On - Page Optimisation Section 4: Keyword Research & Optimisation Section 5: SEO Content Writing Section 6: Off Page SEO Section 7: Conclusion CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Marketing professionals. Digital marketers. Small business owners. Freelancers. Web developers. Content creators. Bloggers. Requirements To enrol in this Search Engine Optimisation course, all you need is a basic understanding of the English Language and an internet connection. Career path SEO Specialist - £25-45k/year. SEO Manager - £35-55k/year. Content Marketing Manager - £30-50k/year. Digital Marketing Manager - £35-60k/year. SEO Copywriter - £22-40k/year. SEO Consultant - £30-60k/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

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