7763 Admin courses delivered Online

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.

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Introduction to Project Management: In-House Training This course provides practical insights into what is project management and how it is performed in a structured manner. This course provides practical insights into what is project management and how it is performed in a structured manner. You will learn how projects are selected, initiated, planned, executed, monitored and control, as well as closed, which could serve you ubiquitously. The goal of this course is to provide a minimally essential orientation to practical project management concepts, tools, and techniques. You will be provided with enough of these that can be applied from both a project manager and a key stakeholder perspective. What you Will Learn You will learn how to: Articulate on the basics of the project management profession Explain project management terms and concepts in practice Speak on how projects originate in mature organizations Employ a disciplined approach to initiating, planning, and managing projects to closure Identify and describe the roles and responsibilities of key project stakeholders Consider standard project processes to implement based upon the PMBOK® Guide Getting Started Introductions Course orientation Participants' expectations Foundation Concepts Key terms and concepts Organizational framework Leadership framework Originating and Initiating Originating projects Initiating projects Planning Planning overview Scope and quality planning Resources and risk planning Schedule and cost planning Project baselining Executing and Controlling Executing Monitoring and Controlling Closing Project closing overview Closing administratively Closing financially Summary and Next Steps Review of goals, objectives, key concepts, and expectations Evaluations

24 Hour Flash Deal **25-in-1 Purchase Ledger Management: Advanced Techniques in Financial Administration Mega Bundle** Purchase Ledger Management: Advanced Techniques in Financial Administration Enrolment Gifts **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter ** Take the initial steps toward a successful long-term career by studying the Purchase Ledger Management: Advanced Techniques in Financial Administration package online with Studyhub through our online learning platform. The Purchase Ledger Management: Advanced Techniques in Financial Administration bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass. This Purchase Ledger Management: Advanced Techniques in Financial Administration course provides complete 360-degree training on Purchase Ledger Management: Advanced Techniques in Financial Administration. You'll get not one, not two, not three, but twenty-five Purchase Ledger Management: Advanced Techniques in Financial Administration courses included in this course. 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Every one of the topics is divided into Purchase Ledger Management: Advanced Techniques in Financial Administration Elementary modules, allowing our students to grasp each lesson quickly. The Purchase Ledger Management: Advanced Techniques in Financial Administration course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc. In this exclusive Purchase Ledger Management: Advanced Techniques in Financial Administration bundle, you really hit the jackpot. Here's what you get: Step by step Purchase Ledger Management: Advanced Techniques in Financial Administration lessons One to one assistance from Purchase Ledger Management: Advanced Techniques in Financial Administrationprofessionals if you need it Innovative exams to test your knowledge after the Purchase Ledger Management: Advanced Techniques in Financial Administrationcourse 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all twenty-five Purchase Ledger Management: Advanced Techniques in Financial Administration courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Purchase Ledger Management: Advanced Techniques in Financial Administration certificate and transcript on the next working day Easily learn the Purchase Ledger Management: Advanced Techniques in Financial Administration skills and knowledge you want from the comfort of your home CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Purchase Ledger Management: Advanced Techniques in Financial Administration training is suitable for - Students Recent graduates Job Seekers Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Purchase Ledger Management: Advanced Techniques in Financial Administration Requirements To participate in this Purchase Ledger Management: Advanced Techniques in Financial Administration course, all you need is - A smart device A secure internet connection And a keen interest in Purchase Ledger Management: Advanced Techniques in Financial Administration Career path You will be able to kickstart your Purchase Ledger Management: Advanced Techniques in Financial Administration career because this course includes various courses as a bonus. This bundle is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Purchase Ledger Management: Advanced Techniques in Financial Administration career opportunities. Certificates CPD Accredited Certificate Digital certificate - Included CPD Accredited e-Certificate - Free CPD Accredited Hardcopy Certificate - Free Enrolment Letter - Free Student ID Card - Free

A survey in the Uk shows that the total number of skills required for a single job has increased by 10% year-over-year since 2017. Furthermore, one in three skills in an average 2017 job posting are already obsolete. Due to ongoing business disruption and rapidly evolving needs, emerging skills gaps have accelerated due to the COVID-19 pandemic. And to help you bridge that gap, Course Cloud has prepared this comprehensive Linux Administration online course. Linux Administration covers a collection of necessary skills required to help you achieve your goals. In addition, our industry professionals will guide you through the process of establishing a solid foundation in Linux Administration.  The Linux Administration course is broken down into manageable sections, each of which will provide you with a new level of expertise. Our exclusive training in Linux Administration will equip you with the skills required to set yourself up for career success. The Linux Administration provides internationally accepted certification upon successful completion. This certificate will add value to your resume and let you stand out among your peers. So enrol now and work your way towards becoming a highly sought-after professional at Linux Administration.

If you’ve got an eye for efficiency, a knack for structure, and a taste for the strategic side of business, this Business Administration Advanced Diploma might just be your next smart move. Designed for those who want to refine their business sense and get to grips with high-level administrative responsibilities, this course delves into the core elements of managing operations, teams, and time with clarity and purpose. Whether you're aiming to climb the corporate ladder or fine-tune your entrepreneurial flair, this programme gives you the theoretical edge to make informed decisions and lead with confidence. Delivered entirely online, the course provides the freedom to learn at your own pace, without the need to shuffle diaries or squeeze into a seminar room. You’ll explore key areas like organisational structure, strategic planning, leadership approaches, and internal communication—all tailored to suit today's business demands. Ideal for those looking to expand their knowledge and gain a deeper understanding of business mechanics, this diploma is your invitation to think sharper and lead smarter. Our Business Administration Advanced Diploma course is endorsed by the Quality Licence Scheme - QLS, ensuring you acquire new skills and enhance your professional development. Business Administration Advanced Diploma QLS Bundle Includes the following Courses Course 01: Advanced Diploma in Business Administration at QLS Level 7 Course 02: Operations Management - Advanced Diploma Course 03: Supply Chain Management Course 04: Purchasing, Procurement and Inventory Management Course 05: HR Management Course Key Features of Business Administration Advanced Diploma Eligibility for QLS endorsed certificate upon successful completion of the Business Administration Advanced Diploma course Free CPD Accredited Course Fully online, interactive Business Administration Advanced Diploma course with audio voiceover Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases To become successful in your profession, you must have a specific set of skills to succeed in today's competitive world. In this in-depth Business Administration Advanced Diplomatraining course, you will develop the most in-demand skills to kickstart your career, as well as upgrade your existing knowledge & skills. Assessment At the end of the Business Administration Advanced Diploma course, we will provide assignment and quizzes. For each test, the pass mark will be set to 60%. Accreditation This Business Administration Advanced Diploma course is QLS - Quality Licence Scheme Endorsed and CPD Certified, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification CPD Certified: Once you've successfully completed your Business Administration Advanced Diploma course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). QLS Endorsed:After successfully completing the Business Administration Advanced Diploma course, learners will be able to order an endorsed certificate, titled: Advanced Diploma in Business Administration at QLS Level 7, as proof of their achievement. This certificate of achievement endorsed by the Quality Licence Scheme. CPD 55 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is ideal for all employees or anyone who genuinely wishes to learn more about Business Administration Advanced Diploma basics. Requirements No prior degree or experience is required to enrol in this Business Administration Advanced Diploma course. Career path This Business Administration Advanced Diploma Course will help you to explore avariety of career paths in the related industry. Certificates Digital certificate Digital certificate - Included Hardcopy Certificate Hard copy certificate - Included Hardcopy Certificate (UK Delivery): For those who wish to have a physical token of their achievement, we offer a high-quality, printed certificate. This hardcopy certificate is also provided free of charge. However, please note that delivery fees apply. If your shipping address is within the United Kingdom, the delivery fee will be only £3.99. Hardcopy Certificate (International Delivery): For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10.

Overview of Office Administration With over 4 million people working in administrative roles, office administration is a growing field full of opportunities in the UK. This office administration course equips you with the essential skills like time management, business writing, communication, and organisation needed to thrive as an administrative professional. You'll gain practical insights into managing office tasks, interacting with staff and clients, and problem-solving issues that arise. With dedicated modules on skills like writing, communication, and stress management, this comprehensive course readies you for diverse administrative and secretarial jobs across sectors.  Invest in your potential. Become the backbone of success. Enrol today and unlock the thriving world of Office Administration in the UK! Get a Quick Look at The Course Content: This Office Administration Course will help you to learn: Employ advanced communication skills to thrive in any business environment. Implement organisational strategies to ensure efficiency and productivity. Master negotiation techniques to secure advantageous outcomes. Manage stress effectively to maintain a healthy work-life balance. Develop leadership qualities to excel in your chosen career path. This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Office Administration. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Office Administration course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? Individuals seeking a rewarding career in Office Administration. Existing professionals looking to refine their skills and climb the ladder. Business owners are eager to empower their teams with essential administrative expertise. Anyone seeking to enhance their organisational and communication skills for personal growth. Requirements You don't need any educational qualification or experience to enrol in the Office Administration course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course.   Career Path This UK-focused Office Administration course paves the way for a diverse range of rewarding careers, including: Executive Assistant - £32,000 to £48,000/year. Office Manager - £18,000 to £38,000/year. Sales Administrator - £17,000 to £28,000/year. Receptionist - £16,000 to £24,000/year. Customer Service Advisor - £18,000 to £26,000/year. Course Curriculum Office Administration Module 1: Introduction to Office Administration 00:17:00 Module 2: Skills of an Effective Administrator 00:18:00 Module 3: Business Writing Skills 00:39:00 Module 4: Communication Skills 00:27:00 Module 5: Managing Meetings and Giving Feedback 01:29:00 Module 6: Organisational Skills 01:18:00 Module 7: Telephone Etiquette 01:09:00 Module 8: Negotiation Techniques 00:18:00 Module 9: Conflict Management 00:16:00 Module 10: Stress Management 00:18:00 Module 11: Time Management 00:39:00 Assignment Assignment - Office Administration 00:00:00

Discover how to elevate your career as an executive assistant or personal assistant with our comprehensive EA Mastery Workshop. Gain new skills, strategies, and tools to maximize your impact and achieve success.

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This course teaches you to prepare for AZ-104 Certification. The course gives you the knowledge to make you Azure ready and become a better Azure administrator. All the changes that were made to AZ-103 by Microsoft to make it AZ-104 are incorporated in this course.