270 Data Entry courses in Edinburgh delivered On Demand

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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Microsoft Excel 2019 for Beginner course teaches you everything on the topic thoroughly from scratch so you can claim a certificate of achievement for free to showcase your achievement in professional life. This course is a comprehensive, instructor-guided course, designed to provide a detailed understanding of the nature of the related sector and your key roles within it. 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 training course, you will develop the most in-demand skills to kickstart your career, as well as upgrade your existing knowledge & skills. The training materials of this course are available online for you to learn at your own pace and fast-track your career with ease. Key Features of the Microsoft Excel 2019 for Beginner Course : Instant e-certificate and hard copy dispatch by next working day Fully online, interactive course with audio voiceover Developed by professionals in the field Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases *** Additional Gifts *** Free Life coaching Course *** (Offer Ends Soon) *** Course Curriculum The detailed curriculum outline of our Microsoft Excel 2019 for Beginner course is as follows: ***Microsoft Excel 2019*** Microsoft Excel 2019 New Features Introduction to Microsoft Excel 2019 New Features CONCAT IFS MAXIFS MINIFS SWITCH TEXTJOIN Map Chart Funnel Chart Better Visuals Pivot Table Enhancements Power Pivot Updates Getting Started with Microsoft Office Excel Navigate the Excel User Interface Use Excel Commands Create and Save a Basic Workbook Enter Cell Data Use Excel Help Performing Calculations Create Worksheet Formulas Insert Functions Reuse Formulas and Functions Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows Search for and Replace Data Use Proofing and Research Tools Formatting a Worksheet Apply Text Formats Apply Number Format Align Cell Contents Apply Styles and Themes Apply Basic Conditional Formatting Create and Use Templates Printing Workbooks Preview and Print a Workbook Set Up the Page Layout Configure Headers and Footers Managing Workbooks Manage Worksheets Manage Workbook and Worksheet Views Manage Workbook Properties Working with Functions Work with Ranges Use Specialized Functions Work with Logical Functions Work with Date & Time Functions Work with Text Functions Working with Lists Sort Data Filter Data Query Data with Database Functions Outline and Subtotal Data Analyzing Data Apply Intermediate Conditional Formatting Apply Advanced Conditional Formatting Visualizing Data with Charts Create Charts Modify and Format Charts Use Advanced Chart Features Using PivotTables and PivotCharts Create a PivotTable Analyze PivotTable Data Present Data with PivotCharts Filter Data by Using Timelines and Slicers Working with Multiple Worksheets and Workbooks Use Links and External References Use 3-D References Consolidate Data Using Lookup Functions and Formula Auditing Use Lookup Functions Trace Cells Watch and Evaluate Formulas Sharing and Protecting Workbooks Collaborate on a Workbook Protect Worksheets and Workbooks Automating Workbook Functionality Apply Data Validation Search for Invalid Data and Formulas with Errors Work with Macros Creating Sparklines and Mapping Data Create Sparklines MapData Forecasting Data Determine Potential Outcomes Using Data Tables Determine Potential Outcomes Using Scenarios Use the Goal Seek Feature Forecasting Data Trends Who is this course for? Anyone with a knack for learning new skills can take this Microsoft Excel 2019 for Beginner course. While this comprehensive training is popular for preparing people for job opportunities in the relevant fields, it also helps to advance your career for promotions. Accreditation All of our courses, including this course, are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we do recommend that you renew them every 12 months. Assessment At the end of the course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven't, there's no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself. Requirements The Microsoft Excel 2019 is open to all students and has no formal entry requirements. To study the Microsoft Excel course, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Career path This course will give you a comprehensive understanding of the Microsoft Excel platform and assist you in pursuing several exciting employment opportunities, such as - Administrative Assistant Accountants Business Analyst Cost Estimator Data Entry Specialist Project Manager And many more! These job prospects pay an average of £15k to £55k a year in the UK. Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each.

Build a robust career in science and healthcare with the Biomedical Science & Engineering: 8-in-1 Premium Online Courses Bundle. Covering biomedical engineering, biology, chemistry, chemical engineering, lab technician, public health, proofreading, and data entry, this bundle prepares you for the multidisciplinary demands of biomedical industries. With expertise spanning scientific, technical, and administrative skills, you become an asset for research labs, hospitals, pharmaceutical companies, and public health organizations. Combining public health knowledge with hands-on technician skills and proofreading ensures precision and compliance in critical roles. Don’t let opportunity pass—those mastering biomedical engineering and chemical engineering are in high demand today. Join them with Compete High’s 4.8 on Reviews.io and 4.3 on Trustpilot behind you. 📘 Description This bundle equips you with a powerful mix of technical and support skills: Advanced understanding of biomedical engineering, biology, chemistry, and chemical engineering fundamentals. Practical training for lab technician roles and critical data management through data entry. Precision skills with proofreading to ensure documentation accuracy. A solid foundation in public health to understand healthcare environments better. Such a blend makes you an ideal candidate for multidisciplinary teams where science meets administration and patient care. ❓FAQ Q: Who should take this bundle? A: Aspiring biomedical scientists, lab technicians, healthcare administrators, and anyone entering pharmaceutical or public health sectors. Q: What’s the benefit of including proofreading and data entry? A: These skills enhance your attention to detail and data accuracy, vital in regulated biomedical fields. Q: Does this bundle cover technical and soft skills? A: Yes, it combines scientific knowledge with practical, administrative, and communication skills.

If spreadsheets give you a headache, this course aims to offer aspirin—metaphorically, of course. The Microsoft Excel Mini Bundle brings clarity to cells, formulas, and functions while adding the human touch of communication and the logic of mathematics. Whether you’re new to data handling or trying to stop formatting rage-quits, this bundle helps you organise, calculate, and interpret with greater ease. From raw entry to meaningful analysis, you’ll gain the structured insight needed to keep rows aligned and heads cool. Learning Outcomes: Learn to use Microsoft Excel for tables, formulas and formatting. Understand data entry principles for structured and clean records. Apply mathematical reasoning to spreadsheets and data calculations. Explore data analysis basics using Excel tools and techniques. Improve communication around data sharing and reporting tasks. Recognise how Excel supports reporting, tracking, and scheduling duties. Who is this Course For: Admins needing Excel structure and clean spreadsheet management. Beginners seeking basic Excel, maths, and data entry knowledge. Office workers handling daily tasks involving spreadsheets. Team members preparing visual reports or internal data logs. Freelancers managing schedules, budgets, and lists via Excel. Analysts looking for a refresher in data visualisation tools. Project coordinators involved in record keeping and communication. Learners improving technical communication in business settings. Career Path: Data Entry Clerk – £22,000/year Junior Data Analyst – £26,000/year Excel Support Administrator – £24,000/year Reporting Assistant – £25,500/year Office Administrator (Excel Focus) – £23,500/year Communication and Data Coordinator – £27,000/year

Who says multitasking can’t be civilised? This Virtual Assistant Mini Bundle offers focused knowledge for today’s remote-working support roles. From HR and data entry to stress management and admin essentials, the bundle is as organised as a well-labeled spreadsheet—and twice as helpful. Tailored for individuals juggling digital schedules and virtual inboxes, the content sharpens support skills while keeping human interaction in the spotlight. It’s admin, but with a dose of clarity, strategy, and—most importantly—a clear understanding of where the mute button is. Learning Outcomes: Understand the responsibilities and duties of a virtual assistant. Learn administrative support processes across digital environments. Recognise effective data entry techniques and structured workflows. Explore HR fundamentals relevant to assistant-level roles. Identify methods to manage stress in busy work settings. Develop strong digital communication and task organisation strategies. Who is this Course For: Freelancers working as virtual assistants from home. Admin staff supporting teams across digital platforms. Individuals managing multiple inboxes and schedules remotely. Business owners seeking help with HR and admin tasks. Entry-level learners exploring remote work options. Career returners needing structured admin refreshers. Professionals looking to reduce stress in admin-heavy roles. Office coordinators transitioning into virtual support work. Career Path: Virtual Assistant – £24,000/year Administrative Support Officer – £23,500/year HR Assistant (Remote) – £25,000/year Data Entry Specialist – £22,000/year Remote Project Coordinator – £26,000/year Email and Diary Manager – £24,500/year

Your dream of becoming a trusted part of the medical team just got a major upgrade. 🩺 The Medical Assistant and Nursing: 8-in-1 Premium Online Courses Bundle blends healthcare knowledge with powerful administrative skills to get you job-ready in weeks—not months. With focused training in Administrative Assistant, Healthcare, First Aid, Microsoft PowerPoint, Health and Safety, Data Entry, KYC, and Self Organisation, you’ll be seen as the ideal candidate in hospitals, clinics, private practices, and care homes. In a world where medical professionals are expected to multitask and remain compliant, this bundle delivers a full-force boost of credibility and capability. 💉📊 ✅ Backed by Compete High’s rock-solid reputation (4.8 on Reviews.io, 4.3 on Trustpilot), this bundle proves you're trained, trustworthy, and ready to assist immediately. 📚 Description A modern healthcare assistant needs more than empathy—they need practical digital skills, safety awareness, and admin competence. This bundle puts you ahead with knowledge in: 🩺 Healthcare Procedures & Compliance 💻 Digital Admin via Microsoft PowerPoint 🧾 Regulatory accuracy with KYC & Data Entry 📇 Clinic support roles as an Administrative Assistant 🧠 Professional growth through Self Organisation 🩹 Safety awareness via First Aid and Health and Safety When you can demonstrate command over Microsoft PowerPoint, communicate clearly with Self Organisation, and contribute to patient records through accurate Data Entry, you become the go-to hire. SEO keywords like Administrative Assistant, Healthcare, First Aid, Health and Safety, and Data Entry have been naturally repeated throughout this copy to make your profile pop up in recruiter searches and ATS scans. 🧑‍⚕️ You can confidently pursue careers such as: Health Care Assistant (HCA) Medical Receptionist Hospital Admin Assistant Clinical Support Worker KYC & Compliance Admin No more wondering where to start—this bundle answers that question for you. ❓ FAQ Q: Who is this bundle for? A: Aspiring HCAs, career switchers into Healthcare, and anyone who wants admin + patient support skills in one. Q: Will this help me land a job in a hospital? A: Absolutely. With training in Health and Safety, KYC, Administrative Assistant tasks, and Healthcare, you’re ready for entry-level clinical admin roles. Q: How long will it take to complete? A: That’s up to you. It's flexible and fully online—progress as fast or steady as you like. Q: Do I need prior experience? A: Not at all. Start from scratch and build your professional profile quickly. 💉 Be the difference in someone’s care journey. Get certified. Get hired. Start your medical assistant path today. 👩‍⚕️🖥️📋

In the fast-moving world of recruitment, being skilled across Employment Law, MS Excel, Data Entry, HR, Payroll, Compliance, Proofreading, and MS Outlook isn’t optional—it’s essential. This all-in-one Recruitment Consultant training bundle is purpose-built to give job seekers the competitive edge employers demand. Whether you're stepping into recruitment or looking to upgrade your consultancy role, this bundle sets you apart. From Employment Law knowledge to advanced MS Excel fluency, smooth Data Entry accuracy to strategic HR support, reliable Payroll understanding to robust Compliance awareness, impeccable Proofreading to professional MS Outlook usage—this bundle has you covered. Backed by Compete High's 4.8 rating on Reviews.io and 4.3 on Trustpilot, you're not just getting quality—you're getting results. 🧠 Description: The Recruitment Consultant: 8-in-1 Premium Online Courses Bundle has been crafted for individuals who want to be truly hireable in modern recruitment. Whether your goal is agency work, corporate recruitment, HR support, or operations, mastering these eight in-demand skills is a must. In recruitment, understanding Employment Law is more than just a checkbox—it's the backbone of compliant hiring. Efficient recruiters rely on MS Excel daily for reports, data analysis, and candidate tracking. Precise Data Entry keeps operations smooth and professional. A well-rounded understanding of HR makes you a better communicator and team player, while Payroll literacy ensures you speak the language of finance and compliance. Compliance remains a top priority for firms hiring talent, and Proofreading keeps your written communications polished and credible. Meanwhile, efficient use of MS Outlook boosts scheduling, follow-ups, and email professionalism—vital for client and candidate engagement. This bundle is ideal for: Recruitment Consultants Talent Acquisition Specialists HR Assistants Admin Officers Employment Law Paralegals Jobseekers transitioning into HR or Recruitment Don’t miss your chance to rise above the crowd—these are skills employers expect. Enroll now and build the recruitment-ready profile companies want. ❓ FAQ: Q: Who should enroll in this Recruitment Consultant bundle? A: Anyone aiming to work in recruitment, HR, staffing, or employment services, or who wants to learn Employment Law, MS Excel, Data Entry, HR, Payroll, Compliance, Proofreading, and MS Outlook. Q: Will this make me more hireable in recruitment roles? A: Absolutely. These skills—especially Employment Law, Payroll, HR, and MS Excel—are must-haves for today's recruiters. Q: Is there support or certification? A: Yes, certification is included. Compete High is trusted by learners worldwide, with a 4.8 on Reviews.io and 4.3 on Trustpilot.

Working remotely doesn’t mean working blindly. The Virtual Assistant: 8 in 1 Premium Courses Bundle is tailored for those handling admin tasks, emails, documents and data—with the finesse of someone who never misses a calendar invite. Covering Virtual Assistant work, Admin support, Data Entry, Document Control, and key software like MS Word and Excel, this bundle is more than inbox-deep. You’ll also explore GDPR and Compliance (with a capital C) to ensure you know where the line is when handling sensitive data. Whether you're answering calls, managing spreadsheets, or scheduling like a star, this bundle offers the structure you need to make work look effortless—even if your coffee says otherwise. Learning Outcomes: Manage documents and files using effective control techniques. Learn MS Word and Excel for professional-level organisation. Understand virtual assistant duties and admin task structures. Gain insight into data entry accuracy and workflow support. Understand GDPR rules when handling sensitive data daily. Explore compliance standards relevant to administrative roles. Who is this Course For: Virtual assistants wanting a confident administrative toolkit. Jobseekers preparing for remote or hybrid office roles. Admin professionals keen to refresh essential document skills. Anyone responsible for data handling or digital filing. Assistants working across industries with multiple admin duties. Business support staff aiming to improve task efficiency. Freelancers offering virtual admin or secretarial services. New starters entering office support roles or coordination. Career Path: Virtual Assistant – £27,000 average salary Administrative Assistant – £24,500 average salary Data Entry Clerk – £21,000 average salary Office Coordinator – £26,000 average salary Document Controller – £30,000 average salary Executive Assistant – £33,500 average salary

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