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Description Sales are all about working to persuade, influence and enroll people. It is imperative to obtain all the imperative sales skills prior to getting into the sales job. The Sales Training Certificate Level 2 is designed to assist you in learning the basic facts on sale, basic communication, important things to keep in mind while selling, usage of etiquettes and body language. The course aims to develop your understanding of sales and account management.  It will develop your sales force, increasing your sales abilities on the telephone, managing key accounts, leading sales teams and even improving your customer service skills. You will learn to make your business more profitable and enhance your client relationships. You will also learn about basic sales Courses, work management, time management, calls, client visits, the difference between selling and telling, Things to do and not to do during visits by clients. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Sales Training Certificate Level 2 is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Sales Training Certificate Level 2 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Module: 01 Introduction FREE 00:01:00 100 Clicks a Day Formula 00:08:00 The Value Ladder for 10X The Profits 00:13:00 Squeeze Page Secrets 00:12:00 Your Value Ladder Buildout 00:20:00 Module: 02 Front End Focus 00:11:00 5 Why Buy Triggers 00:11:00 My Squeeze Page Example 00:05:00 How to Build Your Optin Pages 00:08:00 Squeeze Page Examples & Building with ClickFunnels 00:23:00 Module: 03 Expert Positioning 00:18:00 Voice Inflection for 2X Sales 00:17:00 Why Email Everyday 00:03:00 The Attractive Character Overview 00:10:00 Attractive Character II 00:18:00 Module: 04 Soap Opera Sequence 00:13:00 TYP Overview 00:03:00 Front-End Overview 00:12:00 Seinfeld Email Sequence 00:11:00 Bait Overview 00:19:00 Module: 05 WWWH Script 00:04:00 The Bridge Hack 00:07:00 The Bridge Page 00:06:00 OTO Script 00:09:00 Star Story Solution Script 00:17:00 Squeezing Extra Money from Emails 00:06:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

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.

Specializing in sports performance training with NASM will help enhance not only your clients’ performance but also your earning potential. With NASM’s Performance Enhancement Specialization (NASM-PES), you’ll learn how to provide cutting-edge strength and conditioning training for your clients. You’ll gain the advanced knowledge, insight, and skills needed to help clients of all levels reach their peak performance potential. The 16 modules in this program will also help you meet the demands necessary of a Sports Performance Professional at all levels of sport by providing you the tools you need to improve your clients’ speed, agility, quickness, lifting, and more.

Enthralled by the remnants of the classical era? Passionate about theatre and art or captivated by epic movies and historic battles? Our A-Level Classical Civilisation course offers you an enlightening exploration of the ancient world, studying a diverse blend of classical literature, visual artefacts, and culture. Embark on an in-depth journey into Ancient Greece with this course, engaging with timeless classics like Homer's Odyssey and Virgil's Aeneid. The A-Level Classical Civilisation course unveils insights into vital concepts that shape both ancient and modern societies, from the concept of love to the principles of democracy. Understand the social and historical context linking classical thoughts to the contemporary world. This course is designed to sharpen your evaluative and analytical skills, enabling you to effectively engage with a wide range of source materials. These skills are valuable across numerous higher-level degrees and professional paths. A-levels are revered as the educational benchmark in the UK, acknowledged by universities and employers as a testament to substantial accomplishment. Our home study course aligns with the new OCR A-Level Classical Civilisation syllabus, specifically tailored for online, self-paced learning. With unlimited tutor support, a clear induction, and structured assignments, we guide you to develop the knowledge and skills needed for exam success. If you opt to take your final A-Level examinations in the UK, we guarantee access to one of our exam centres. Perks of this course include: - A freshly designed course, following the latest specification with compelling and interactive content - Fast track option available for 2022 exams - Complimentary e-textbooks to assist your learning - Access to a network of partnered exam centres (guaranteed exam venue) - Limitless tutor support for study planning and throughout the course - Exam pass guarantee (We provide support for your next exam if you don't pass on your first attempt) An A-Level in Classical Civilisation equips you with an intricate understanding of the classical world, derived from studying a variety of ancient literature, thoughts, and culture.  About the awarding body Awarding body: OCR Our course code: X921 Qualification code: H408 OCR is a premier UK awarding body, creating qualifications that inspire learners of all ages and abilities. Its broad spectrum of general and vocational qualifications equips learners with the knowledge and skills necessary for their future, supporting them in reaching their full potential. The qualifications are developed in close collaboration with educators, industry professionals, and government to meet the requirements set by the Office of Qualifications and Examinations Regulation (Ofqual). ⏱ Study Hours: Allocate between 250 and 300 hours for study, plus additional time for completing assignments. 👩‍🏫 Study Method: We utilise our dynamic online learning platform for course delivery. Don't fret; you can print the learning materials if you prefer. The learning resources include videos, quizzes, and interactive activities. 📆 Course Duration: The course runs for up to 24 months from the enrolment date. You'll receive login details to our MyOxbridge portal, where you can access your learning materials. 📝 Assignments Commence your learning journey for Summer 2023 exams.  This course demands the completion of three comprehensive A-Level examinations: 📚 Paper 1: Lasting 2 hours and 20 minutes, contributing to 40% of A-Level, with a total of 100 marks. 📚 Paper 2 & 3: Each lasting 1 hour and 45 minutes, contributing to 30% of A-Level each, with 75 marks up for grabs per paper. These examinations comprise a combination of concise and detailed responses and extended answers. We assure a secure exam place in our nationwide centres. Locate your nearest centre today. We proudly offer an exam pass guarantee. Should you not succeed at first attempt, we pledge our complimentary support for your subsequent attempts. 📝  Assignments During your course journey, you'll be tasked with completing several assignments. These won't count towards your final grade but provide an avenue for tutor feedback and grading, assisting you in tracking your progress. This will be crucial for generating predicted grades if necessary. 👩‍🎓 Course Outcomes Upon successful accomplishment of this home-based learning course, you'll earn an A-Level in Classical Civilisation, conferred by OCR. This qualification is on par with that issued by any other educational institution, be it school, college, or university. We've selected this syllabus as we believe it's best suited to online learning and offers the highest possibility of success. ℹ️ Additional Information Course Difficulty - Level 3 Prerequisites - A strong recommendation for candidates to have pursued English Literature to GCSE or equivalent level prior to embarking on this course. UCAS Points - 56 Course Content ⚔️ The world of the hero  Starting off, you'll delve into the depths of Homer’s Odyssey, nurturing a mature understanding of this magnum opus and the spiritual, cultural, and societal norms that it represents. You'll explore the essence of a hero in the Greek realm, scrutinising literary mechanisms and structure that frame the plot, including speech utilisation, portrayal of war, mortality, fate, and relationships. 🎭 Culture and the arts  In this module, you'll examine the visual and material culture of the Greek Theatre, underlining the drama's impact on the classical world and its enduring influence on contemporary culture. 🌍 Beliefs and ideas In the concluding unit, you'll investigate the religious facets of ancient Greek society, focusing on the Olympian deities, the relationship between gods and mortals, and Homer and Hesiod's importance in shaping Greek religious perceptions. Subsequently, you'll explore mystery cults and their emphasis on initiation, personal choice, and individual participation. Lastly, you'll discern the interplay between religion and society, politics and religion, alongside the Panathenia and its relevance to Athens.

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Data Protection and Clinical Trials

This package is ideal for those who select the wrong partners repeatedly choosing emotionally unavailable people, bad characters and people that treat them badly. Dating Coach support for 6 weeks sessions twice a week 30 mins Dating Coach correctional dating training programme Gift Package sent to home with Dating literature and guidance pamphlet Support and Advice Dating advice for singles https://relationshipsmdd.com/product/i-always-choose-the-wrong-people-to-date-package/

This comprehensive course provides students with an understanding of the physiological principles and real-life applications of power training, helping them to properly assess clients and design progressive, integrated power training programs for a variety of goals.

Give a compliment to your career and take it to the next level. This Public Services Training will provide you with the essential knowledge to shine in your professional career. Whether you want to develop skills for your next job or elevate your skills for your next promotion, this Public Services Training bundle will help you stay ahead of the pack. Throughout the Public Services Training programme, it stresses how to improve your competency as a person in your chosen field while also outlining essential career insights in the relevant job sector. Along with this Public Services Training course, you will get 10 premium courses, an originalhardcopy, 11 PDF certificates (Main Course + Additional Courses) Student ID card as gifts. This Public Services Training Bundle Consists of the following Premium courses: Course 01: Customer Relationship Management Course 02: Office Administration Certificate Course 03: Minute Taking Essentials Level 2 Course 04: Professional Telephone Receptionist Course Course 05: Operations Management Course 06: Paralegal Course 07: Level 3 Tax Accounting Course 08: Document Control Course 09: GDPR Data Protection Level 5 Course 10: Workplace Confidentiality Course 11: Touch Typing Essentials Enrol now in Public Services Training to advance your career, and use the premium study materials from Apex Learning. Certificate: PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Public Services Training expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes. CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Public Services Training bundle. Requirements This Public Services Training course has been designed to be fully compatible with tablets and smartphones. Career path Having this expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Customer Service) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Level 7 Diploma with FREE QLS Endorsed Certificate | CPD & IAO Accredited | Lifetime Access