220 Data Entry courses delivered Online

The Quantity Surveying Mini Bundle is a structured introduction to the world of surveying, cost control, and project quantification. From construction planning to measurement logic and Excel accuracy, this bundle appeals to those who enjoy neatly laid out spreadsheets and buildings that come in on budget. Covering quantity, land and building surveying with added modules in data entry and Microsoft Excel, it suits learners with a knack for accuracy, planning, and a slight suspicion of vague estimates. It’s theory-led content with enough structure to satisfy even the most numbers-conscious minds. Learning Outcomes: Learn key quantity surveying tasks and measurement strategies. Understand building surveying methods and structural assessments. Explore land surveying tools and terminology in construction. Study data entry techniques for managing project information. Gain confidence in Microsoft Excel for project-related tasks. Identify budget-focused strategies in surveying and reporting. Who is this Course For: Learners drawn to numbers, logic, and property measurement. Individuals interested in surveying for land or building use. Beginners seeking structure in construction and planning roles. Job seekers preparing for entry into property development sectors. Professionals refreshing knowledge in Excel and data handling. Career starters curious about cost planning in construction. Students exploring property, surveying, or measurement-related fields. Data-minded learners wanting theory-led project planning tools. Career Path: Quantity Surveyor (Junior Level) – £30,000/year Land Surveyor Assistant – £28,000/year Building Surveying Technician – £29,000/year Project Data Entry Clerk – £23,000/year Construction Administrator (Excel Focused) – £26,000/year Cost Planning Support Analyst – £31,000/year

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.

Unleashing your potential in the digital world begins with mastering a fundamental skill that enhances both efficiency and productivity: touch typing. The 'Award in Touch Typing Complete Training at QLS Level 2' offers a structured pathway to not just learning but excelling in touch typing. This course, designed with a blend of theoretical insights and practical drills, aims to transform beginners into proficient typists. Through a series of progressively challenging modules, learners are introduced to the basics before advancing through detailed exercises that cover every aspect of the keyboard, from the home keys to complex sentence drills and numerical typing. Embarking on this course marks the start of a journey towards achieving remarkable typing speed and accuracy, a skill highly prized in numerous professional settings. By the end of this training, participants will not only have developed a valuable skill but also the confidence to apply it across various tasks, whether for academic purposes, professional assignments, or personal projects. The curriculum is carefully tailored to ensure a thorough grasp of touch typing techniques, leading to improved work efficiency and a reduction in typographical errors. Learning Outcomes Master the touch typing technique with a focus on accuracy and speed. Understand the layout of the keyboard and the strategic positioning of letters, numbers, and symbols. Enhance typing proficiency through targeted drills and exercises. Develop the ability to type complex sentences and paragraphs without looking at the keyboard. Achieve significant improvements in typing efficiency and error reduction. Why choose this Award in Touch Typing Complete Training at QLS Level 2 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Award in Touch Typing Complete Training at QLS Level 2 course for? Beginners eager to learn touch typing from the ground up. Professionals seeking to improve their typing speed and accuracy for workplace efficiency. Students looking to enhance their study and research capabilities through faster typing. Individuals aiming to reduce dependency on spell-check and improve typing confidence. Anyone interested in acquiring a new skill that is beneficial across various digital platforms. Career path Administrative Assistant: £18,000 - £30,000; crucial in managing office tasks with efficiency. Content Writer: £20,000 - £35,000; requires rapid typing for creating engaging content. Data Entry Clerk: £16,000 - £25,000; valued for speed and precision in updating databases. Executive Assistant: £25,000 - £50,000; excels in managing communications and scheduling. Legal Secretary: £20,000 - £40,000; depends on fast typing for documentation and correspondence. Transcriptionist: £18,000 - £30,000; transcribes audio to text with quick and accurate typing. Prerequisites This Award in Touch Typing Complete Training at QLS Level 2 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £75 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Award in Touch Typing Complete Training at QLS Level 2 Module 01: Getting Started 00:05:00 Module 02: DRILL 1 The home keys 00:05:00 Module 03: DRILL 2 e and i, g and h 00:05:00 Module 04: DRILL 3 o and n, shift keys and t 00:05:00 Module 05: DRILL 4 extra practice . and y 00:05:00 Module 06: DRILL 5 , and w 00:05:00 Module 07: DRILL 6 m and u 00:05:00 Module 08: DRILL 7 v and x 00:05:00 Module 09: DRILL 8 sentence drills 00:05:00 Module 10: DRILL 9 figures 00:05:00 Module 11: DRILL 10 alphabetical paragraphs 00:05:00 Module 12: Recap 00:05:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Register on the Microsoft Access today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Microsoft Access is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Microsoft Access Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Requirements: The online training is open to all students and has no formal entry requirements. To study the Microsoft Access, 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. Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Course Content Microsoft Access Add Controls to Forms 01:00:00 Set Form Controls 01:00:00 Create Subforms 00:30:00 Organize Information with Tab Pages 00:30:00 Enhance Navigation with Forms 00:30:00 Format a Form 01:00:00 Apply Conditional Formatting 00:30:00 Field Validation 00:30:00 Form and Record Validation 00:30:00 Create a Macro 01:00:00 Restrict Records Using a Condition 00:30:00 Validate Data Using a Macro 00:30:00 Automate Data Entry Using a Macro 00:30:00 Convert a Macro to VBA 00:30:00 Link Tables to External Data Sources 00:30:00 Manage a Database 00:30:00 Determine Object Dependency 00:30:00 Document a Database 00:30:00 Analyze the Performance of a Database 00:30:00 Split a Database for Multiple User Access 00:30:00 Implement Security 00:30:00 Set Passwords 00:30:00 Convert an Access Database to an ACCDE File 00:30:00 Package a Database with a Digital Signature 00:30:00 Create a Database Switchboard 01:00:00 Modify a Database Switchboard 00:30:00 Set Startup Options 00:30:00 Activities Activities - Microsoft Access 2016 Advanced 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Digital literacy is no longer optional—it’s essential. From academic libraries to government records, data handling to digital archiving, the modern library professional must be fluent in both information systems and human communication. This bundle arms you with the job-focused training employers are actively searching for. Description If you're seeking a career in library science, information governance, or digital content management, this 20-in-1 Library and Information Science bundle gives you the toolkit to impress. From handling sensitive data to managing catalogues, supporting researchers, or maintaining compliance standards—this bundle is built for today’s knowledge workers. Whether you want to work in a university, corporate archive, public library, or digital database environment, this training helps you show up job-ready, organised, and adaptable. Instead of investing in 20 different trainings, get everything in one premium bundle—at a value that won’t be around forever. A smarter investment. A stronger CV. FAQ Q: Who should take this course bundle? A: Anyone pursuing roles in library management, archives, data entry, documentation, or digital content operations. Q: What roles will this bundle support? A: Librarian, Records Officer, Data Entry Assistant, Digital Archivist, Document Controller, and Research Support Assistant. Q: Is this bundle beginner-friendly? A: Yes—designed for those new to the field and those seeking formal recognition. Q: Will I receive certificates? A: Yes, certificates are awarded for each course you complete. Q: How long do I have to access the content? A: You get lifetime access—learn when it works best for you.

This comprehensive Microsoft Excel 2016 course is designed to take you from a complete beginner to an advanced Excel user, equipping you with essential skills for data analysis, financial modeling, and business productivity. Whether you're managing budgets, analyzing sales data, or automating repetitive tasks, this course provides hands-on training with real-world examples. In this ultimate course, you will get the opportunity to establish a solid foundation in Excel. The course will first teach you the basic functions and formulas. Gradually, you will learn to work with multiple Worksheets. Furthermore, the course will introduce you to the essentials of Pivot Tables and Pivot Charts. In addition, you will know how to analyse data in Excel. The course will also show you the fundamentals of forecasting data and data mapping. At the end of the course, you will be able to take your Excel skills to the next level. This course will also provide you with a QLS- endorsed certificate and elevate your resume. Join now! Learning Outcomes Familiarise yourself with the basic to advanced level excel tools Learn the process of managing and modifying Workbooks Enrich your knowledge of Pivot Tables and Pivot Charts Develop your skills in data analysis Learn about lookup functions and formula editing Grasp the principles of data mapping and forecasting Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Upon successful completion of the final assessment, you will be eligible to apply for the Quality Licence Scheme Endorsed Certificate of Achievement. This certificate will be delivered to your doorstep through the post for £119. An extra £10 postage charge will be required for students leaving overseas.  CPD Accredited Certificate After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment At the end of the course, there will be an MCQ assessment. To pass this exam, you must score at least 60%. When you submit the assessment, it will be examined, and the results will be given to you immediately. Who Is This Course For? This course is ideal for beginners with no prior Excel knowledge, office professionals looking to enhance efficiency, students preparing for careers in finance/data, and entrepreneurs managing business data. It’s also valuable for accountants, analysts, and administrative staff seeking to upgrade their skills. Whether for academic, professional, or personal use, this course provides step-by-step training for all levels. Career path This Microsoft Office 2016 Excel Beginner to Advanced course is designed to help you expand your knowledge and understanding of this sector. After completing the course, you will be able to explore career options such as Data Entry Clerk – £18K–£24K Administrative Assistant – £20K–£28K Financial Analyst – £30K–£50K Accountant – £25K–£45K Business Intelligence Analyst – £35K–£60K Excel Trainer / Consultant – £30K–£55K Course Contents Microsoft Excel Beginners Getting Started with Microsoft Office Excel 2016 Performing Calculations Modifying a Worksheet Formatting a Worksheet Printing Workbooks Managing Workbooks Microsoft Excel Intermediate Working with Functions Working with Lists Analyzing Data Visualizing Data with Charts Using PivotTables and PivotCharts Microsoft Excel Advanced Working with Multiple Worksheets and Workbooks Using Lookup Functions and Formula Auditing Sharing and Protecting Workbooks Automating Workbook Functionality Creating Sparklines and Mapping Data Forecasting Data Resources

Today’s employers expect digital fluency—and the Microsoft Office Specialist (MOS): 20-in-1 Premium Online Courses Bundle is your shortcut to proving it. Whether you're applying for office jobs, working remotely, or managing admin tasks, this all-in-one qualification proves you're equipped for modern business. With 20 powerful tools under one certification banner, this bundle makes your CV more competitive than ever. Description Mastering Microsoft Office isn’t a bonus—it’s a baseline requirement across admin, HR, finance, marketing, and customer service roles. This bundle goes a step further, combining Office essentials with data tools, project platforms, and productivity boosters that today’s hiring managers want. Ideal for roles such as Office Assistant, Data Entry Clerk, Project Coordinator, or Bookkeeping Admin, this training shows employers that you’re more than computer literate—you’re job-ready. And here's the kicker: you’re getting 20 job-aligned courses in one affordable package. That’s not just training—it’s strategic career investment. FAQ Q: What roles will this help me qualify for? A: Office Administrator, Data Entry Clerk, Bookkeeping Assistant, Project Assistant, Virtual Assistant. Q: Do I need any IT background? A: Not at all. The bundle is suitable for anyone looking to enhance digital skills for office-based work. Q: Is this good for remote work or freelance admin roles? A: Absolutely. The skills are highly transferable to remote, hybrid, and freelance setups. Q: Can I include this bundle in job applications? A: Yes. You’ll receive certificates for all 20 courses, strengthening your profile instantly. Q: How long will I have access? A: Lifetime access ensures you can revisit the materials whenever you need.

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Learners should be ages 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment:  At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? 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Online Marketing Internet Marketing is the Real Deal 00:30:00 Baby Steps Towards Successful Internet Marketing 00:30:00 Web Design 01:00:00 Home Business Lifestyle 01:00:00 Simple Ways to Create Sales and Earnings 01:00:00 Data Entry and Data Conversion 00:30:00 Conclusion 00:15:00 Digital Marketing Sales and Marketing 00:30:00 How Internet Marketing Works 01:00:00 How To Make Money With Internet Marketing 01:00:00 What is Affiliate Marketing 00:30:00 Competition in Internet Marketing 00:30:00 Researching in Internet Marketing 01:00:00 Desperate Niches 00:30:00 Profitable Niches 00:30:00 Clickbank 00:30:00 What is Traffic? 00:30:00 Traffic vs. Relevance 00:30:00 Article Marketing 00:30:00 Paid forms of Traffic - 1 01:00:00 Paid forms of Traffic - 2 01:00:00 Search Engine Optimization 00:30:00 Search Engine Optimization 2 00:30:00 Best SEO Practice 02:00:00 Blogs - WordPress 01:00:00 Blogs - WordPress II 03:00:00 Email Marketing I 00:30:00 Email Marketing II 01:00:00 Internet Marketing Strategy I 01:00:00 Your own website vs free options online I 00:30:00 Your own website vs free options online II 01:00:00 Social Media Marketing Introduction 00:30:00 Understanding the Value of Social Media Buzz and What It Can Do For Your Business 01:00:00 Developing a Winning Social Media Marketing Plan 01:00:00 Setup and Manage a Facebook Page That Works 01:00:00 Tweet Your Way to Online Prominence 01:00:00 Build Your Network with LinkedIn 01:00:00 Captivate Your Audience with YouTube 01:00:00 Conclusion 00:15:00 Email Marketing Introduction to Email Marketing 00:30:00 Using Email Marketing Software 00:30:00 Building Email Lists by Quantity 00:30:00 Building Email Lists by Quality 00:30:00 Crafting an Email 01:00:00 Analyzing and Tracking Your Email Marketing Strategy 00:30:00 Mock Exam Mock Exam- Graduate Certificate in Online Marketing Level 3 00:20:00 Final Exam Final Exam- Graduate Certificate in Online Marketing Level 3 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Excel skills are no longer optional—they’re expected. This 20-in-1 bundle is built for those who want to do more than just "know Excel"—they want to be hired for it. Whether you're targeting finance, admin, or IT roles, this package equips you with a stack of skills that recruiters actively scan for. In a competitive job market, don't just upgrade your spreadsheet game—upgrade your career potential. 🔍 Description Excel remains one of the most in-demand tools in modern workplaces—but what makes candidates stand out is the combination of tech literacy, analytical thinking, and compliance awareness. That’s exactly what this bundle delivers. From payroll to ledgers, tax basics to communication—this training suite doesn’t just look good on a CV. It gives hiring managers a reason to call you first. Each course contributes to building a job-ready profile across multiple industries, including finance, business admin, data entry, and compliance-heavy sectors. 20 courses. One affordable package. Zero wasted effort. If you’re serious about impressing employers, act now before those “Excel required” roles go to someone else. ❓ FAQ Q: What roles does this bundle support? A: Admin Assistant, Finance Officer, Payroll Clerk, Data Entry Specialist, or IT Support roles requiring Excel fluency. Q: Do I need prior experience to benefit from this? A: No prior experience is needed—it’s built to accommodate both new learners and upskillers. Q: Will I get a certificate for each course? A: Yes—each course provides a recognised certificate you can list on your CV or LinkedIn. Q: What industries would find this bundle most valuable? A: Finance, education, public sector, marketing, compliance, HR, and small business operations. Q: How long do I have access? A: Lifetime access—train at your own pace, revisit anytime.