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Don't Compromise on Quality to Save Few Bucks Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Now Tired of browsing and searching for a Epilepsy Awareness course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed. After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Epilepsy Awareness bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Epilepsy Awareness course that will enhance your skills and prepare you for the competitive job market. Also, our experts are available for answering your queries on Epilepsy Awareness and help you along your learning journey. Advanced audio-visual learning modules of these Epilepsy Awareness courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once. Furthermore, to help you showcase your expertise in Epilepsy Awareness, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest. This Epilepsy Awareness Bundle Consists of the following Premium courses: Course 01: Epilepsy Awareness Course 02: Child Psychology Course 03: Neuropsychology and Development of Children Course 04: Understanding Autism Awareness and Diagnosis Course 05: Cerebral Palsy Awareness Course 06: Child Neglect Awareness Certificate Course Course 07: Parenting Skills Training Course 08: Home Based Childcare Course Course 09: Safeguarding Children Level 3 Course 10: Counselling Children & Supporting Their Wellbeing Course 11: Play Therapy Course 12: Understanding Nutrition and Health Level 4 Course 13: Paediatric First Aid Level 3 Course 14: Personal Hygiene Enrol now in Epilepsy Awareness to advance your career, and use the premium study materials from Apex Learning. How will I get my Certificate? After successfully completing the course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course ) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Epilepsy Awareness expertise and essential knowledge, which will assist you in reaching your goal. Curriculum of Bundle Course 01: Epilepsy Awareness Module 01: Introduction Module 02: Causes of Epilepsy Module 03: What Is Seizure? Module 04: Treatment of Seizures Module 05: Diagnosis Module 06: Management of Epilepsy Module 07: Pharmacological Management Module 08: How Behavioural Changes Affect Epilepsy? Module 09: Risk management and Support Needs =========>>>>> And 13 More Courses <<<<<========= So, enrol Epilepsy Awareness bundle course now to advance your career! CPD 140 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Epilepsy Awareness bundle. Note: This is not a professional course. This course only covers theoretical knowledge about the topic. Requirements Our Epilepsy Awareness course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Having this Epilepsy Awareness expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included

The course will provide you with a thorough understanding of basic business English communication techniques.

This comprehensive course dives deep into Oracle database RAC administration, spanning 12c and 19c versions. Gain practical skills in architecture, installation, tuning, upgrading, mastering backup, recovery, dynamic services, load balancing, patching, Flex Clusters, and more. Discover advanced techniques through hands-on practice videos.

Level 7 Diploma(FREE QLS Endorsed Certificate)| 11 CPD Courses+11 PDF Certificates| 150 CPD Points|CPD & CiQ Accredited

Level 5 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited

Course on all the Essentials of Microsoft Office Looking to learn everything there is about all the Microsoft Office programs? This course will give you exactly what you are looking for. Learn all there is about Microsoft Word, Excel, Outlook, PowerPoint, OneNote, Access, Publisher, Project, InfoPath, SharePoint Designer and Visio. Certified Microsoft Office Essentials introduces a new graphical interface user called the Fluent User Interface, which uses ribbons and an Office menu instead of menu bars and toolbars. Office also introduced Office Open XML file formats as the default file formats in Excel, PowerPoint, and Word. Office also introduces a feature called 'Live Preview', which temporarily applies formatting on the focused text or object, when any formatting button is moused-over. This Course is designed to make you learn everything about all the Microsoft Office tools of and all of its new features. Learning all the office softwares increases your credibility in today's competitive job market. So what are you waiting for? This is the course for you. Course Highlights Certified Microsoft Office Essentials is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Certified Microsoft Office Essentials into 77 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 2 days, 19 hours hours and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Certified Microsoft Office Essentials Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Certified Microsoft Office Essentials is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Certified Microsoft Office Essentials is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Microsoft Word Module One - Getting Started FREE 00:30:00 Module Two - Opening Word FREE 01:00:00 Module Three - Working with the Interface 01:00:00 Module Four - Your First Document 01:00:00 Module Five - Basic Editing Tasks 01:00:00 Module Six - Basic Formatting Tasks 01:00:00 Module Seven - Formatting Paragraphs 01:00:00 Module Eight - Advanced Formatting Tasks 01:00:00 Module Nine - Working with Styles 01:00:00 Module Ten - Formatting the Page 01:00:00 Module Eleven - Sharing Your Document 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities- Microsoft Word for Beginners Accredited Course 00:00:00 Microsoft Excel Module One - Getting Started FREE 00:30:00 Module Two - Opening Excel FREE 01:00:00 Module Three - Working with the Interface 01:00:00 Module Four - Your First Worksheet 01:00:00 Module Five - Viewing Excel Data 01:00:00 Module Six - Building Formulas 01:00:00 Module Seven - Using Excel Functions 01:00:00 Module Eight - Using Quick Analysis 01:00:00 Module Nine - Formatting Your Data 01:00:00 Module Ten - Using Styles, Themes, and Effects 01:00:00 Module Eleven - Printing and Sharing Your Workbook 01:00:00 Module Twelve - Wrapping Up 01:00:00 Activities - Microsoft Excel for Beginners CPD & IAO Accredited 00:00:00 Microsoft PowerPoint Module One - Getting Started FREE 00:30:00 Module Two - Opening PowerPoint FREE 01:00:00 Module Three - Working with the Interface 01:00:00 Module Four - Your First Presentation 01:00:00 Module Five - Working with Text 01:00:00 Module Six - Formatting Text and Paragraphs 01:00:00 Module Seven - Adding Pictures 01:00:00 Module Eight - Advanced Formatting Tasks 01:00:00 Module Nine - Working with Transitions and Animations 01:00:00 Module Ten - Setting Up Your Slide Show 01:00:00 Module Eleven - Showtime! 01:00:00 Module Twelve - Wrapping Up 00:30:00 Certified Microsoft PowerPoint for Beginners - Activities 00:00:00 Microsoft Access Module One - Getting Started 00:30:00 Module Two - Opening and Closing Access FREE 01:00:00 Module Three - An Introduction to Databases 01:00:00 Module Four - Sharing Data Using Apps 01:00:00 Module Five - Working in Your App 01:00:00 Module Six - An Introduction to Desktop Databases 01:00:00 Module Seven - Performing Basic Table Tasks 01:00:00 Module Eight - Working with Fields 01:00:00 Module Nine - Working with Table Relationships 01:00:00 Module Ten - An Introduction to Queries, Forms, and Reports 01:00:00 Module Eleven - Protecting Your Data 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities - Microsoft Access for Beginners CPD Accredited 00:00:00 Microsoft Outlook Module One - Getting Started FREE 00:30:00 Module Two - Opening and Closing Outlook FREE 01:00:00 Module Three - Understanding the Interface 01:00:00 Module Four - Working with the Message List and the Reading Pane 01:00:00 Module Five - Using Message List Commands 01:00:00 Module Six - Creating a New Email 01:00:00 Module Seven - Managing Email 01:00:00 Module Eight - Searching for Items 01:00:00 Module Nine - An Introduction to the Calendar 01:00:00 Module Ten - An Introduction to Tasks 01:00:00 Module Eleven - An Introduction to Contact 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities - Accredited Microsoft Outlook for Beginners 00:00:00 Microsoft Publisher Module One - Getting Started 00:30:00 Module Two - Opening Publisher 01:00:00 Module Three - Working with the Interface 01:00:00 Module Four - Your First Publication 01:00:00 Module Five - Working with Pictures 01:00:00 Module Six - Basic Editing Tasks 01:00:00 Module Seven - Formatting Fonts 01:00:00 Module Eight - Formatting Paragraphs 01:00:00 Module Nine - Working with Objects 01:00:00 Module Ten - Working with Pages 01:00:00 Module Eleven - Publishing Your Work 01:00:00 Module Twelve - Wrapping Up 00:30:00 Mock Exam Mock Exam- Certified Microsoft Office Essentials 00:30:00 Final Exam Final Exam- Certified Microsoft Office Essentials 00:30:00

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Getting Started The QUALIFI Level 3 Extended Diploma in Business, Management and Study Skills qualification develops and rewards learners looking to or already have chosen a career in a business-related sector. It is envisaged that this programme will encourage academic and professional development so that learners move forward to realise their potential and that of organisations across a broad range of sectors. The learners will gain transferable skills and knowledge that will enable individuals to meet business changes. Key Benefits To understand the business environment and business resources. Know how to present business information effectively and to develop English language communication competencies for University Studies. Understand health and safety legislation and regulations affecting a business working environment and workplace welfare. To support learners to develop confidence and skills to communicate academically while gaining awareness and understanding of other cultures and addressing the issues relevant to transitioning to higher education. Understand how successful leaders bring about effective change, impact of organisational culture and thinking entrepreneurially. Key Highlights 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 QUALIFI-approved 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 The QUALIFI Level 3 Extended Diploma in Business, Management and Study Skills can open many career pathways including, but not limited to: Operations Manager with an estimated average salary of £28,000 per annum Office Manager with an estimated average salary of £30,000 per annum Financial Planner with an estimated average salary of £22,000 per annum Program Manager with an estimated average salary of £25,000 per annum Junior Manager with an estimated average salary of £22,000 per annum Business Analyst with an estimated average salary of £30,000 per annum Fleet Manager, with an estimated average salary of £25,000 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) Entry Requirements The qualification has been designed to be accessible without artificial barriers restricting access and progression. Entry to the qualification will be through a centre interview, and learners will be expected to hold the following: Qualifications at Level 2 or. Work experience in a business environment and demonstrate ambition with clear career goals. Level 3 qualification in another discipline and want to develop their careers in management. Progression Learners completing the QUALIFI Level 3 Extended Diploma in Business, Management and Study Skills can progress to: a QUALIFI Level 4 qualification, or directly into employment in an associated profession or An undergraduate degree. 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- An Introduction to the Business Environment Reference No : A/615/5045 Credit : 10 || TQT : 100 This unit will explain different types of businesses and their ownership in an economy. Learners will understand the owner and stakeholders' role in fulfilling the business's purpose. The unit will help learners to understand how companies are organised to achieve their targets. This unit will also help to know how the economic, political, legal and social environment can impact businesses, giving the learner an understanding of the range of companies. UNIT2- Business Resources Reference No : F/615/5046 Credit : 10 || TQT : 100 The unit will explain how a range of human, physical, technological and financial resources are used and managed within a business. This unit will help the learner understand how human resources are managed and the employability and personal skills required of personnel in an organisation. Learners will understand the purpose of managing resources effectively, not only concerning human resources but also in terms of physical and technological resources. Learners will also understand how an organisation can gain access to sources of finance, both internally and externally and be able to interpret financial statements. UNIT3- An Introduction to Marketing Reference No : J/615/5047 Credit : 10 || TQT : 100 Learners will gain a basic understanding of the role of the marketing function, with particular emphasis on the role of marketing research and how it contributes to marketing planning and the development of a marketing mix for a target group of customers. Learners can develop, analyse and evaluate key marketing techniques to understand them better. UNIT4- Human Resource Management Reference No : L/615/5048 Credit : 10 || TQT : 100 The unit provides an overview of some key areas that fall within the remit of the human resources function. The learners will also learn how organisations gain employee motivation and employee commitment. Finally, learners will know about how employee performance is measured and managed and the benefits of doing so. This knowledge will help learners understand the working environment and the nature of Human Resource Management when seeking or engaging in employment. UNIT5- Business Communication Reference No : R/615/5049 Credit : 10 || TQT : 100 Effective communication is a key area in terms of its contribution to business success. When studying this unit, learners will thoroughly understand the types of business information used internally and externally by organisations and the methods used to communicate information to different audiences. In this unit, learners will be able to develop, analyse and evaluate various techniques used to display multiple types of business information. They will understand the purpose of such communication. They will also produce and consider different types of business communication of their own. UNIT6- Understanding Health and Safety in the Business Workplace Reference No : J/615/5050 Credit : 10 || TQT : 100 This unit will help to prepare learners for the world of work, where health and safety are a vital part of the modern workplace, whatever sector is chosen. There is a level of myth surrounding Health and safety requirements. This unit will help dispel these and promote good health and safety practices as a productive working environment. Learners will understand health and safety legislation, regulations and requirements that form the basis of all workplaces in the UK. UNIT7- Managing Business Operations Reference No : A/617/5537 Credit : 10 || TQT : 100 This unit aims to familiarise learners with the essential aspects of businesses and their operations in both external and internal business environments. The unit emphasises that operational control and sound policies and best practices lead to organisational excellence. UNIT8- An Introduction to Finance Reference No : F/617/5538 Credit : 10 || TQT : 100 This unit introduces learners to practical accounting and financial reporting techniques managers in business organisations use. Learners will gain an understanding of the budgetary control process. UNIT9- English for University Studies Reference No : T/618/7010 Credit : 10 || TQT : 100 This unit aims to develop the language competencies required of an undergraduate-level student. The content is organised around three core skills: listening, reading and writing, using authentic academic and language learning materials. Alongside these skills, learners will have opportunities to develop and expand their range and accuracy of functional, lexical and grammatical structures. The listening component aims to develop comprehension strategies required when attending lectures as well as practice in note-taking. The reading component introduces students to various academic texts, reading purposes and methods. The writing aims to introduce learners to literary conventions and different academic writing text types. Research classes will further expand on students reading and writing skills in their specific subject area. Finally, learners must work on collaborative and independent tasks throughout the course. There will be a strong emphasis on taking responsibility for autonomous learning. UNIT10- Communication and Cultural Skills for University Reference No : A/618/7011 Credit : 10 || TQT : 100 This unit aims to support learners to develop confidence and skills to communicate in an academic environment while gaining awareness and understanding of other cultures and addressing the issues relevant to transitioning to higher education. The communication component aims to improve speaking skills through oral summaries and presentations. Focus also aims to develop critical thinking skills through discussions and debates. The academic culture component focuses on content reflecting important aspects of university life for first-year undergraduates (e.g. email etiquette, finding information, university system) and effective study strategies (e.g. time management, dealing with stress, traits of successful learners). The cultural component enables learners to understand other and local cultures better. When studying abroad, the focus will be on learning about Irish culture, society, and student life. UNIT11- An Introduction to Leadership Skills Reference No : A/617/5540 Credit : 10 || TQT : 100 This unit aims to provide the learner with an introduction to leadership skills, how they can be identified and developed, and to show the importance of motivating others. UNIT12- Organisational Culture Reference No : F/617/5541 Credit : 10 || TQT : 100 To understand aspects of an organisation's culture, its effects on its activities and management, and the significance of an ethical business approach. UNIT13- Workplace Welfare Reference No : J/617/5542 Credit : 10 || TQT : 100 To understand that workforce welfare ensures that everybody employed within the organisation is valued. To comprehend health and safety responsibilities and benefits gained from being part of the organisation. UNIT14- Thinking Entrepreneurially Reference No : R/615/4774 Credit : 10 || TQT : 100 This unit aims to introduce the learner to an evaluation of themselves in an entrepreneurial context by using several techniques, including SWOT. This unit will introduce learners to critical thinking skills and put these into context against a business plan. 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.

Learning Objectives Introduction , Getting Started with Excel , Creating Workbooks and Using Templates , Entering Data , Excel Formula Basics , Adjusting a Worksheet , Formatting and Aligning Data , Using Cell Styles and Themes , Inserting Objects and Graphics , Proofing a Workbook , Printing an Excel File , Managing Worksheets , Navigating and Viewing Excel Files , Conclusion   Pre-Requisites Basic Computer Skills   Description Microsoft Excel is one of the major workhorses in the Microsoft Office suite of applications and arguably the most widely-used Office product. A solid understanding of how to use this program is vital to nearly everyone in most industries today. This course is designed specifically to teach you the fundamentals of Excel and give you the skills you need to begin to create and manipulate worksheets. Specifically, you will understand how to create, save, enter data, and print spreadsheets in addition to learning how to create formulas and use functions to calculate in Excel. You will learn how to enter data, format spreadsheets, manipulate columns and rows, add headers and footers, and use page setup options to prepare them for printing. You will also learn how to handle large worksheets or multiple workbooks, use styles and themes, insert various graphic objects, and options for proofing your workbooks. Section 01 Lesson 01: What is Excel 00:03:00 Lesson 02: Opening Excel 00:04:00 Lesson 03: Navigating the Excel User Interface-v2 00:06:00 Lesson 04: Navigating the Excel User Interface 00:04:00 Lesson 05: Using the Excel Ribbon 00:07:00 Lesson 06: Understanding Excel Worksheet Components 00:07:00 Lesson 07: Using the Backstage View 00:06:00 Section 02 Lesson 01: Creating a New Workbook 00:06:00 Lesson 02: Saving an Excel Workbook 00:05:00 Lesson 03: Using the Accessibility Checker 00:04:00 Lesson 04: Using the Accessibility Checker-v3 00:04:00 Section 03 Lesson 01: Navigating a Worksheet by Mouse or Keyboard 00:05:00 Lesson 02: Understanding Excel Data Types 00:04:00 Lesson 03: Using the Inking Tools 00:05:00 Lesson 04: Using the Inking Tools-v3 00:03:00 Lesson 05: Working with Cell and Range Addressing 00:05:00 Lesson 06: Using Various Data Selection Techniques 00:05:00 Lesson 07: Working with Common Excel Commands 00:06:00 Lesson 08: Using Flash Fill and Autofill 00:06:00 Section 04 Lesson 01: What are Formulas and Functions 00:05:00 Lesson 02: Understanding the Components of a Formula 00:05:00 Lesson 03: Understanding Calculation Hierarchy and the Order of Operations 00:03:00 Lesson 04: Creating Basic Formulas 00:05:00 Lesson 05: Working with Basic Functions and AutoSum 00:06:00 Lesson 06: Using Cell References 00:05:00 Lesson 07: Using the Quick Analysis Tool 00:03:00 Section 05 Lesson 01: Modifying Columns and Rows 00:06:00 Lesson 02: Hiding and Unhiding Columns and Rows 00:06:00 Section 06 Lesson 01: Formatting and Aligning Data 00:07:00 Lesson 02: Merging Data 00:07:00 Lesson 03: Wrapping Text and Adjusting Orientation 00:06:00 Lesson 04: Formatting Numbers 00:05:00 Lesson 05: Using the Format Painter 00:04:00 Section 07 Lesson 01: Using Cell Styles 00:06:00 Lesson 02: Applying Themes 00:05:00 Section 08 Lesson 01: Inserting and Formatting Images and Shapes 00:08:00 Lesson 02: Inserting and Formatting SmartArt 00:05:00 Lesson 03: Working with Icons 00:04:00 Lesson 04: Inserting Hyperlinks 00:06:00 Lesson 05: Inserting Symbols and Equations 00:05:00 Lesson 06: Inserting WordArt and Text Boxes 00:05:00 Lesson 07: Inserting 3-D Models 00:04:00 Lesson 08: Arranging Objects 00:06:00 Section 09 Lesson 01: Using Find and Replace 00:05:00 Lesson 02: Using Go To and Go To Special 00:03:00 Lesson 03: Using the Spell Checker 00:05:00 Lesson 04: Using the Thesaurus and Translation Features 00:05:00 Lesson 05: Using the resolve Feature-v3 00:02:00 Section 10 Lesson 01: Printing and Previewing Excel Files 00:06:00 Lesson 02: Creating Custom Margins and Scaling 00:05:00 Lesson 03: Adding Headers and Footers 00:04:00 Lesson 04: Formatting a Page with the Page Layout Tab 00:06:00 Lesson 05: Printing Titles and Specific Worksheet Areas 00:03:00 Lesson 06: Exporting to PDF-v3 00:02:00 Lesson 07: Exporting to PDF and XPS 00:04:00 Section 11 Lesson 01: Renaming and Coloring Worksheet Tabs 00:03:00 Lesson 02: Adding, Deleting and Navigating Worksheets 00:03:00 Lesson 03: Hiding and Unhiding Worksheets 00:03:00 Section 12 Lesson 01: Viewing Workbooks 00:03:00 Lesson 02: Using Zoom Tools 00:03:00 Lesson 03: Configuring Sheet Options 00:05:00 Lesson 04: Using the Freeze Panes and Split Commands 00:04:00 Lesson 05: Adjusting Worksheet Properties 00:04:00 Lesson 06: Viewing Workbook Statistics-v3 00:02:00 Course Recap Recap 00:02:00 Final Exam Final Exam - Excel 365 Beginner 00:20:00

The CACHE Level 3 Award in Childcare and Education(VRQ) covers many areas of development, relationships and health during including the education framework within Early Years. The Childcare & Education course has been designed to cover health and development of a child care during Early Years and the role of an Early Years Educator during this important stage in life. Upon completion of the Childcare & Education qualification you will understand how to work within Childcare and Education and gain a Level 3 Certificate.