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If you feel that your confidence needs developing, or that you are low in self-esteem, we can support you to build your self-esteem and confidence in just a few simple steps that ultimately take your overall skills to the next level. This course aims at providing reliable, helpful and easy-to-absorb information on the most obvious emotional challenges faced by people today. In this course, you will go through an array of valuable lessons demonstrating tips and tricks to improve your self-esteem, the common obstacles to our goals, the importance of goal setting in life, and the effective ways of developing communication skills. You will also discover how to confer powerful presentations, and deal with stressful behaviour and situations. Why Choose This Course Earn a digital Certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Get 24/7 help or advice from our email and live chat teams Full tutor support on weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certificate of Achievement CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Method of Assessment To verify your enhanced skills in the subject, we recommend that you also complete the assignment questions. These can be completed at any time which is convenient for yourself and will be assessed by our in-house specialised tutors. Full feedback will then be given on your current performance, along with any further advice or support. Who is this course for?​ This Diploma In Coaching And Mentoring Course is ideal for those wanting to improve their basic skills in office administration, those who want to start working as a receptionist, office administrator, office manager, administrative assistant or secretary, and those who want to become a legal secretary. Career Path Training offered by the Diploma In Coaching And Mentoring Course will benefit a wide range of roles in different business sectors. But it would significantly enhance the following careers or roles:  Department Manager Office Team Leader Business Owner Fitness Instructor Lifestyle Coach Apprenticeship Tutor Skills Coach Course Content Module 01: Principles And Characteristics of Coaching Principles And Characteristics of Coaching 00:20:00 Module 02: Objectives & Processes of Coaching And Mentoring Objectives & Processes of Coaching And Mentoring 00:25:00 Module 03: Ethical Aspects of Coaching and Mentoring Ethical Aspects of Coaching and Mentoring 00:25:00 Module 04: Coaching Models Coaching Models 00:35:00 Module 05: Effective Communication Skills Effective Communication Skills 00:30:00 Module 06: Time, Stress and Emotional Management Time, Stress and Emotional Management 00:25:00 Module 07: Leadership Skills Leadership Skills 00:30:00 Module 08: Sales Skills Sales Skills 00:25:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Master the advanced features and techniques of the powerful presentation making program with the Microsoft PowerPoint 2016 Advanced course. The course is for the people who have basic knowledge of Microsoft PowerPoint. Throughout the course, you will learn how to customise the user-interface, how to customise the design templates, adding SmartArt to a presentation, adding media such as audio and video, use animation in the presentation, and more. Upon completion, you will be able to create mind blowing presentation and slide show. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Course Content Modifying the PowerPoint Environment Customize the User Interface 01:30:00 Set PowerPoint 2016 Options 00:45:00 Customizing Design Templates Create and Manage Sections 01:00:00 Modify Slide Masters and Slide Layouts 01:15:00 Add Headers and Footers 00:30:00 Modify the Notes Master and the Handout Master 00:45:00 Adding SmartArt to a Presentation Create SmartArt 00:45:00 Modify SmartArt 01:00:00 Working with Media and Animations Add Audio to a Presentation 00:45:00 Add Video to a Presentation 01:00:00 Customize Animations and Transitions 01:00:00 Collaborating on a Presentation Add Comments to a Presentation 00:45:00 Review a Presentation 00:45:00 Store and Share Presentations on the Web 01:30:00 Customizing a Slide Show Annotate a Presentation 00:45:00 Set Up a Slide Show 00:45:00 Create a Custom Slide Show 00:30:00 Add Hyperlinks and Action Buttons 00:45:00 Record a Presentation 00:15:00 Securing and Distributing a Presentation Secure a Presentation 01:30:00 Present a Slide Show Online 01:00:00 Create a Video or a CD 00:45:00 Activities Activities - Microsoft PowerPoint 2016 Advanced 00:00:00 Mock Exam Mock Exam- Microsoft PowerPoint 2016 Advanced 00:20:00 Final Exam Final Exam- Microsoft PowerPoint 2016 Advanced 00:20:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Description: PowerPoint happens to be the most popular presentation software used in the world today. Its adaptation is wide and universal. You can use this software for so many different reasons; at work, in school and for personal projects. The Microsoft Office 2016 PowerPoint Complete Video Course - Beginner to Advanced is designed to teach you everything that you need to know about PowerPoint 2016. It will give you a basic to advanced knowledge. You will learn how to create amazing slides, how to use animations and transitions, how to insert videos and pictures in your presentation, how to use action buttons, how to create a perfect PowerPoint presentation. Finally, you will be able to apply what you have learned into real life situations. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Microsoft Office 2016 PowerPoint Complete Video Course - Beginner to Advanced is certified by CPD Qualifications Standards and CiQ. 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 background. Requirements Our Microsoft Office 2016 PowerPoint Complete Video Course - Beginner to Advanced 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 After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Microsoft PowerPoint - Beginner Navigate the PowerPoint Environment FREE 00:28:00 View and Navigate a Presentation 00:15:00 Create and Save a PowerPoint Presentation 00:13:00 Use PowerPoint Help 00:10:00 Select a Presentation Type 00:08:00 Edit Text 00:13:00 Build a Presentation 00:27:00 Format Characters 00:11:00 Format Paragraphs 00:16:00 Format Text Boxes 00:09:00 Insert Images 00:10:00 Insert Shapes 00:15:00 Edit Objects 00:16:00 Format Objects 00:06:00 Group Objects 00:04:00 Arrange Objects 00:07:00 Animate Objects 00:07:00 Create a Table 00:09:00 Format a Table 00:03:00 Insert a Table from Other Microsoft Office Applications 00:06:00 Create a Chart 00:10:00 Format a Chart 00:10:00 Insert a Chart from Microsoft Excel 00:05:00 Review Your Presentation 00:11:00 Apply Transitions 00:05:00 Print Your Presentation 00:05:00 Deliver Your Presentation 00:08:00 Microsoft PowerPoint - Advanced Customize the User Interface FREE 00:18:00 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 00:08:00 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 00:14:00 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 00:10:00 Broadcast a Slide Show 00:07:00 Create a Video or a CD 00:08:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

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.

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

Description: Adobe InDesign is a desktop publishing software application that mostly used by creative professionals to design printed or electronic publications, such as posters, flyers, brochures, magazines, newspapers, presentations, books, ebooks, etc. Enrolling in the Level 3 Diploma in Adobe InDesign will give you the opportunity to learn the techniques of using the Adobe InDesign. In this course, you will learn how to work with the software, as well as create and format tables, print projects, and other essential tools. Apart from these, the course also teaches you the keyboard shortcuts for making your work simple and quicker. You will learn to create simple vector illustrations using the tools available in InDesign. Upon completion of the course, you will able to create a layout with a combination of text, images and colour, or with either text or images alone, and you can cope without any difficulty by only using InDesign. If you want to be creative in your ideas and designs, then InDesign is superb for enabling your creativity. Who is the course for? Anyone who wants to learn Adobe InDesign Anyone wanting to design professional flyers, PDFs, eBooks, and other publications Entrepreneurs, online businesses, artists, graphic designers - anyone who wants to learn this amazing Adobe application Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Module: 01 1 Intro Indesign FREE 00:02:00 2 - Course Downloadables 00:01:00 2 Conclusion InDesign 00:02:00 3 Let's Start Creating! 00:14:00 4 InDesign Workspace 00:08:00 5 The Workspace 00:06:00 6 Customize Your Workspace 00:08:00 7 Create a New Document 00:06:00 8 Navigating and Zooming 00:03:00 9 Setting up Your Document 00:00:00 10 Working with Pages 00:08:00 11 Working with Multiple Documents 00:03:00 12 Challenge: Create a Mock Setup Document 00:01:00 13 Assignment Solution 00:02:00 Module: 02 14 - Saving and Exporting 00:05:00 15 - Creating a Real Estate Listing 00:01:00 16- Placeing Image 00:12:00 17 - Placing Text 00:10:00 18 - Preflighting 00:05:00 19- Formatting and Flowing 00:09:00 20 Text Wrap 00:11:00 21 - Text on Paths 00:09:00 22 - Craislist Assignment 00:02:00 23 My Version 00:14:00 Module: 03 24 Intro Multi -Page Documents 00:03:00 25 - Master Pages 00:09:00 26 - Page Numbers 00:04:00 27 - Master Text Frames 00:04:00 28 - Threading Text 00:08:00 29 - Placeholder Frames 00:04:00 30 - Styles 00:11:00 31 - HyperLinks 00:06:00 32 - Layer Panel 00:13:00 33 - 4 Page Assignment 00:01:00 34 - My Version 5 Page 00:21:00 Module: 04 35 - Creating a Table 00:12:00 36 - Formatting table 00:16:00 37 - Assignment Report 00:01:00 38 - My Version 00:18:00 39 - Color Swatches 00:07:00 40 - Additional Tools 00:10:00 41- Shapes 00:05:00 42 - Keyboard Shortcuts 00:04:00 43 - Finishing Work 00:04:00 44 - Export Settings 00:07:00 45 - Final Project 00:01:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00