220 Data Entry courses delivered Online

The healthcare sector doesn’t just need doctors—it needs organised, reliable professionals behind the scenes. The Medical Secretary Mini Bundle prepares you for in-demand roles across private practices, hospitals, and health clinics. Combining healthcare, administrative assistant, virtual assistant, data entry, and compliance, it offers a high-value, career-focused edge to those who want to become instantly hireable. If you're serious about stepping into the world of healthcare administration, don’t miss the opportunity to stand out—this bundle was built for employability. Description The Medical Secretary Mini Bundle is packed with job-aligned keywords that hiring managers actively search for when reviewing CVs in the healthcare industry. With direct emphasis on healthcare, administrative assistant, virtual assistant, data entry, and compliance, this bundle targets the skills most sought after in receptionist, records officer, and secretary roles across the medical field. Whether you want to assist GPs, work remotely as a virtual assistant, manage patient schedules, or handle records with data entry precision, this bundle sets the tone. Hospitals and clinics are prioritising staff who understand compliance, manage workflows as a competent administrative assistant, and can operate within demanding healthcare environments. Don’t just meet expectations—exceed them with this essential bundle. FAQ Q: Who should take this bundle? A: Anyone looking to enter medical administration, reception, or assistant roles—especially those who want to work in healthcare. Q: Is it suitable for remote positions? A: Yes. The virtual assistant and data entry focus makes it ideal for online or hybrid work. Q: How does this boost my CV? A: It shows direct experience in healthcare, compliance, and administrative assistant work—key for hiring managers. Q: What types of organisations value these skills? A: Clinics, private surgeries, public hospitals, and virtual health services. Q: Will this help with NHS job applications? A: Yes. NHS admin roles regularly require knowledge of compliance, data entry, and healthcare structure. Q: Should I wait to enrol? A: No. Opportunities in medical admin are growing—delay could mean a missed job offer.

The Military History Mini Bundle connects academic curiosity with practical employability. Whether you’re aiming for roles in education, heritage, administration, or data handling, this bundle delivers a blend of historical depth and office-ready competence. Anthropology, Welsh History, English History, Data Entry, and Stress Management aren’t just subjects—they’re job-relevant signals that show both intellectual and operational readiness. If you're considering careers in museums, libraries, historical projects, or administrative roles with a cultural edge, this bundle bridges the gap. Don’t miss your chance to make your CV reflect both analytical insight and professional resilience. Description Anthropology helps you understand people—an essential trait in both research and communication-based roles. Welsh History and English History provide cultural context and academic weight, making this bundle especially relevant to education, tourism, and preservation industries. Data Entry, meanwhile, gives you the precision and accuracy needed in any administrative job. Whether you’re compiling archives or entering sensitive data, Data Entry is a role that shows up across public and private job boards daily. Stress Management is the unsung hero here—it demonstrates your ability to maintain composure in demanding environments. Whether you’re working on deadlines, public engagement, or high-volume information systems, it gives you the edge many employers look for. Together, Anthropology, Welsh History, English History, Data Entry, and Stress Management turn a passion for history into a job-ready skillset. FAQ Q: Is this bundle useful for museum or heritage jobs? A: Yes. Anthropology, Welsh History, and English History are core to heritage and cultural roles. Q: Why include Data Entry in a history bundle? A: Because many roles in education, research, and archiving involve digital administration. Q: Does Stress Management really matter? A: Absolutely. It shows you can handle pressure—key for research and public-facing roles. Q: Can I use this for academic or support roles in schools? A: Yes. These skills are relevant in both teaching support and school administrative positions. Q: Why this bundle over individual study? A: You save money and get five directly employable competencies in one place. Q: Is Anthropology applicable outside of history? A: Definitely. Anthropology is valued in social research, development work, and communications.

Overview This Microsoft Excel Course for Everyone - Complete Excel Course is your passport to spreadsheet mastery.Explore Excel in detail and improve your abilities with practical activities that go beyond boring lectures. Take on spreadsheets like an expert, from data entry to difficult formulas and eye-catching graphics. But the magic doesn't end there! After finishing successfully, you'll not only impress with your proficiency with Excel, but you'll also obtain a respected CPD certification to enhance your CV and make a statement in the job market. Consider it your golden ticket to go up in your job!Enrol right away to see how your confidence and chances rise! Don't wait! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Microsoft Excel Course for Everyone - Complete Excel Course. It is available to all students, of all academic backgrounds. Requirements Compatible with a wide range of gadgets, including smartphones, tablets, laptops, Macs, and PCs. Particularly designed to be easily accessed with an internet connection on tablets and smartphones. No strict deadlines; learn whenever it's convenient for you. Individuals with basic English proficiency. Career Path After completing this course, it will increase the value of your CV and open you up to multiple sectors, such as : Data Analyst: £25,000 - £50,000 per year Financial Analyst: £30,000 - £60,000 per year Operations Manager: £35,000 - £70,000 per year Accountant: £25,000 - £50,000 per year Business Intelligence Analyst: £35,000 - £65,000 per year These salary ranges can vary based on factors such as experience, location, and the specific industry of the business. Course Curriculum 15 sections • 80 lectures • 06:51:00 total length •Introduction: 00:03:00 •Course Curriculum: 00:04:00 •Getting started on Windows, macOS, Android, and IOS: 00:01:00 •How to ask great questions: 00:02:00 •FAQ's: 00:01:00 •Starting Excel: 00:04:00 •Introduction: 00:02:00 •Worksheet basics: 00:22:00 •Entering values and formulas: 00:12:00 •Data formats: 00:10:00 •Data handling basics - cut copy and paste: 00:07:00 •Save and print in excel: 00:10:00 •Excel Ranges: 00:05:00 •Introduction: 00:01:00 •Basic formula operations: 00:06:00 •Mathematical functions level 1: 00:20:00 •Mathematical functions level 2: 00:12:00 •Text functions level 1: 00:09:00 •Text functions level 2: 00:13:00 •Logical functions: 00:11:00 •Date time functions: 00:06:00 •V Lookup formula: 00:12:00 •HLookup formula: 00:04:00 •HLookup + Match formula: 00:09:00 •Match + Index formula: 00:05:00 •Introduction: 00:02:00 •XLookup: 00:08:00 •Handling #NA and Approximates match in XLookup: 00:11:00 •Wildcard matching in XLookup: 00:06:00 •Introduction: 00:02:00 •Split text into columns: 00:07:00 •Flash Fill: 00:07:00 •Remove Duplicates: 00:08:00 •Data Validation: 00:07:00 •Get- import Data from Text: 00:06:00 •Get - import Data from CSV: 00:03:00 •Introduction: 00:01:00 •Formatting Font: 00:04:00 •Formatting Alignment: 00:06:00 •Formatting Number: 00:05:00 •Formatting Date: 00:03:00 •Formatting tables: 00:05:00 •Introduction: 00:01:00 •Creating Pivot Table: 00:07:00 •Value field settings: 00:04:00 •Number format: 00:02:00 •Pivot Table Design: 00:03:00 •Excel Exercise: 00:01:00 •Solution for Excel Exercise: 00:02:00 •Introduction: 00:01:00 •Excel Charts - Categories: 00:03:00 •Elements of a chart: 00:04:00 •Easy way to create charts: 00:02:00 •Column or Bar charts: 00:04:00 •Formatting charts: 00:04:00 •Line charts: 00:02:00 •Area charts: 00:02:00 •Pie and Doughnut charts: 00:04:00 •Format AreaPlot or XY chart: 00:08:00 •Scatter or bubble charts: 00:02:00 •Introduction: 00:01:00 •Frequency Distribution and Histograms: 00:04:00 •Waterfall charts: 00:02:00 •Hierarchy charts: sunburst and tree map: 00:03:00 •Combination charts: 00:02:00 •Sparklines: 00:05:00 •Pivot charts: 00:02:00 •Maps chart: 00:04:00 •3D Maps chart: 00:03:00 •Introduction: 00:01:00 •Stock charts: 00:02:00 •Radar charts: 00:02:00 •Surface charts: 00:02:00 •Heat maps: 00:04:00 •Named ranges: 00:05:00 •Indirect Name range Function: 00:06:00 •Import Data table from PDF file - Excel 2021: 00:04:00 •Import Data from Website - Excel 2019 above: 00:09:00 •Project: Sales forecast tracker: 00:07:00 •Product Sale Tax invoice: Tax Calculations: 00:05:00

Course Overview: The Office Skills and Administration Level 3 course covers everything from business writing and phone etiquette to body language interpretation and minute-taking methods. You will not only learn to improve your communication and organisational aptitudes, but you will also even be trained to get the most out of Microsoft's Excel and PowerPoint. Maximise your career potential and take your office abilities to a new standard. Key Features of the Course: CPD certificate upon completion 24/7 learning assistance for continuous support Engaging and interactive learning materials A comprehensive curriculum covering various aspects of Office Skills and Administration Level 3 Learn at your own pace, anywhere and anytime Who is This Course For? The Office Skills and Administration Level 3 course is for individuals looking to improve their office skills and administrative capabilities. It's suitable for office professionals, administrators, and those aspiring to enhance their office management expertise, whether you're new to the field or have some experience. What You Will Learn: This Office Skills and Administration Level 3 course covers: Efficient personal assistant skills. Effective admin support techniques. Administrative management strategies. Enhanced organisational skills. Professional telephone etiquette. Business writing proficiency. Time management, effective communication, meeting management, and basic Excel and PowerPoint skills. Why Enrol in This Course: Taking part in the Office Skills and Administration Level 3 course has several advantages. It is a highly popular programme that was recently upgraded to reflect modern office management trends and practices. By staying current with industry standards, you will increase your employability and open the door to great career opportunities in the administrative profession. Requirements: To enrol in the Quality Tools and Problem Solving Methods course, you typically need: Basic office management knowledge. Interest in advanced administrative skills. Computer and internet proficiency. Proficiency in English. Completion of the course provider's requirements. Career Path: Upon completing the Office Skills and Administration Level 3 course, you can pursue diverse and rewarding career opportunities. Here are five related professions, along with their average UK salaries: Office Manager (£30,000-£50,000 per year) Administrative Coordinator (£25,000-£40,000 per year) Executive Assistant (£30,000-£55,000 per year) Data Entry Specialist (£20,000-£30,000 per year) Customer Service Representative (£20,000-£35,000 per year) Certification: After successfully completing the Office Skills and Administration Level 3 course, you will be issued a CPD certificate that is acknowledged across many sectors. This recognised accreditation can help you improve your professional reputation and broaden your employment opportunities.Take part now for proficiency in office skills and administration, and join a global community of learners on this transforming educational adventure. Course Curriculum 12 sections • 54 lectures • 18:19:00 total length •Personal Assistant: 01:23:00 •Admin Support: 01:54:00 •Administrative Management: 00:00:00 •Organisational Skills: 01:16:00 •Telephone Etiquette: 01:07:00 •Business Writing: 01:24:00 •Time Management: 01:09:00 •Body Language and Effective Communication: 01:23:00 •Meeting Management: 01:24:00 •Navigate the Excel User Interface: 00:28:00 •Use Excel Commands: 00:10:00 •Create and Save a Basic Workbook: 00:19:00 •Enter Cell Data: 00:12:00 •Use Excel Help: 00:05:00 •Create Worksheet Formulas: 00:15:00 •Insert Functions: 00:17:00 •Reuse Formulas and Functions: 00:17:00 •Insert, Delete, and Adjust Cells, Columns, and Rows: 00:10:00 •Search for and Replace Data: 00:09:00 •Use Proofing and Research Tools: 00:07:00 •Apply Text Formats: 00:16:00 •Apply Number Format: 00:08:00 •Align Cell Contents: 00:09:00 •Apply Styles and Themes: 00:12:00 •Apply Basic Conditional Formatting: 00:11:00 •Create and Use Templates: 00:08:00 •Preview and Print a Workbook: 00:10:00 •Set Up the Page Layout: 00:09:00 •Configure Headers and Footers: 00:07:00 •Manage Worksheets: 00:05:00 •Manage Workbook and Worksheet Views: 00:07:00 •Manage Workbook Properties: 00:06:00 •Customize the User Interface: 00:19:00 •Set PowerPoint 2016 Options: 00:07:00 •Modify Slide Masters and Slide Layouts: 00:16:00 •Add Headers and Footers: 00:05:00 •Modify the Notes Master and the Handout Master: 00:04:00 •Create SmartArt: 00:09:00 •Modify SmartArt: 00:05:00 •Write Math Equations: 00:07:00 •Add Audio to a Presentation: 00:09:00 •Add Video to a Presentation: 00:10:00 •Customize Animations and Transitions: 00:14:00 •Review a Presentation: 00:15:00 •Store and Share Presentations on the Web: 00:06:00 •Annotate a Presentation: 00:07:00 •Set Up a Slide Show: 00:08:00 •Create a Custom Slide Show: 00:03:00 •Add Hyperlinks and Action Buttons: 00:07:00 •Record a Presentation: 00:05:00 •Secure a Presentation: 00:11:00 •Broadcast a Slide Show: 00:07:00 •Create a Video or a CD: 00:08:00 •Assignment - Office Skills and Administration Level 3: 00:00:00

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.

Learn touch typing efficiently and accurately with our comprehensive Touch Typing Course. Suitable for beginners and those looking to refine their skills, this course covers everything from basic setup to mastering the entire keyboard.

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.

If you’re looking to break into remote work or land an in-demand office role, the VA Training Courses Mini Bundle is your best shortcut. This bundle is designed to make you hireable — fast — by stacking essential skills that employers search for in real-world job listings. With targeted courses like Virtual Assistant, Administrative Assistant, Data Entry, MS Word, and MS Excel, you’re preparing for roles across industries — from tech startups to corporate teams to online businesses. Remote-friendly, entry-level accessible, and results-focused, this is your path to a job-ready profile. Description You don’t need years of experience to get hired — just the right skill set. The VA Training Courses Mini Bundle gives you exactly that. Packed with relevant, high-demand topics — Virtual Assistant, Administrative Assistant, Data Entry, MS Word, and MS Excel — this bundle has been built to give you an instant edge in the job market. Whether you’re aiming for a virtual assistant gig, a hybrid admin role, or a freelance client support job, this training checks all the boxes for employers. Job titles like Virtual Office Assistant, Remote Executive Support, Admin Coordinator, and Data Entry Specialist are actively hiring for the very tools and roles featured in this bundle. And because MS Word and MS Excel are still the universal language of office productivity, having them on your CV signals you’re ready to work from day one. If you’re worried about not having experience — don’t be. This mini bundle was made to give you the qualifications that open doors. And with remote hiring happening globally, the opportunity window is wide open — for now. FAQ Q: Will this bundle help me land a remote job? A: Absolutely. Roles involving Virtual Assistant, Administrative Assistant, Data Entry, MS Word, and MS Excel are some of the most common in remote job listings. Q: Do I need a tech background to take this? A: Not at all. This bundle is beginner-friendly and designed to get you job-ready, even if you’re just starting your career journey. Q: Are these courses enough to build a freelance VA profile? A: Yes. With skills in Virtual Assistant, Administrative Assistant, Data Entry, MS Word, and MS Excel, you’re well-equipped to pitch yourself to clients confidently. Q: What industries does this bundle suit? A: Just about all of them — especially online services, ecommerce, finance, education, and digital agencies.

The hiring world is changing fast — and organizations are searching for skilled HR professionals who understand data, compliance, and the human side of recruitment. The HR Recruiter Mini Bundle was designed to help you get noticed in this competitive field. With core focus areas like Employment Law, HR, Data Entry, MS Excel, and Payroll, this bundle prepares you to step directly into HR support, recruitment coordination, or talent admin roles across all industries. If you’re serious about starting your HR journey, this is your edge. Don’t miss out on a bundle created to make you the recruiter employers want to hire. Description HR departments are under more pressure than ever to manage people, policy, and processes efficiently — and they need recruiters who are sharp, organized, and compliant. The HR Recruiter Mini Bundle delivers just that, combining Employment Law, HR, Data Entry, MS Excel, and Payroll to form a power-packed skill set. Whether you're applying to in-house HR teams, staffing agencies, or third-party recruitment services, these competencies will boost your profile instantly. Knowledge of Employment Law shows you understand compliance. Skills in Payroll and MS Excel demonstrate data-handling abilities. And a grounding in HR and Data Entry gives you the administrative accuracy every hiring team needs. This bundle aligns perfectly with job listings for HR Assistants, Junior Recruiters, Onboarding Coordinators, and more. In a market where employers are scanning for reliability and up-to-date knowledge, showing strength in HR, Payroll, Employment Law, MS Excel, and Data Entry puts you ahead. Your next job in HR is closer than you think — don’t let someone else snap up the opportunity first. FAQ Q: What types of roles does this bundle suit? A: HR Recruiter, Recruitment Assistant, HR Administrator, Payroll Clerk, Talent Coordinator, and Junior HR Officer roles. Q: Will I be qualified to apply for in-house or agency roles? A: Yes. This bundle is versatile enough to work across both — in companies and recruitment firms. Q: Is this good for beginners in HR? A: Absolutely. It’s built to take you from beginner to job-ready with all the essential admin and compliance-related skills. Q: Why is this bundle better than a single HR course? A: Because HR today requires more than just theory — employers expect you to understand systems like Payroll, tools like MS Excel, and concepts like Employment Law and Data Entry.

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