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This course is for those who already have a basic knowledge of nutrition and would be of particular use to health professionals, researchers and those working within the food industry. Food industry personnel are frequent users of our introductory course and, to make this second course particularly relevant, we have aligned relevant aspects of the modules with food-related legislation, for example nutrition and health claims regulation and the EU Food Information for Consumers Regulation (that incorporates allergen labelling). This course covers: Module 1: Introduction to eating and drinking well Module 2: Energy and energy balance Module 3: Macronutrients Module 4: Micronutrients Module 5: Nutritional needs through life Module 6: Diet and lifestyle and their impact on health Module 7: Food allergy and intolerance Module 8: Understanding food labels Each module includes a number of short tests, providing you with feedback on your progress. Further reading is also suggested. Please note there is no audio for this course. On successful completion of a final assessment, a personalised BNF certificate is created. (The final assessment may be repeated). This course will take approximately 10-12 hours to complete. You can complete the course at your own pace – there is no time limit. The information provided within this course is based on Government advice and recommendations in place at the time of the course development. Where new recommendations are anticipated, these have been stated in the text. Please note this course is not intended to support a career in nutrition – degree level training is required for this.

By the end of the course, you will learn to write your very own Linux shell scripts using the concepts in order to avoid repetitive work and save time.

Overview This comprehensive course on The Complete Microsoft Outlook Masterclass will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This The Complete Microsoft Outlook Masterclass comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this The Complete Microsoft Outlook Masterclass. It is available to all students, of all academic backgrounds. Requirements Our The Complete Microsoft Outlook Masterclass is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more!   Course Curriculum 16 sections • 74 lectures • 04:03:00 total length •You Can Master Microsoft Outlook Promo: 00:02:00 •You Can Ask Me Anytime: 00:01:00 •Your Facebook Support Group: 00:01:00 •Quick Win -How To Send an Email in Outlook: 00:01:00 •Quick Win - How To Print an Email in Outlook: 00:01:00 •Another Quick Win - You Can Work Offline with Outlook: 00:01:00 •Outlook Environment: 00:03:00 •Outlook Opening: 00:02:00 •Outlook Interface Options: 00:04:00 •Sending and Receiving Email in Outlook: 00:03:00 •Sending and Receiving Email in Outlook with Attachments: 00:02:00 •Account Settings in Outlook: 00:06:00 •Automatic Replies in Outlook: 00:04:00 •Mail Box Settings in Outlook: 00:02:00 •Rules and Alerts Settings in Outlook: 00:04:00 •Exporting and Importing Rules and Alerts in Outlook: 00:01:00 •Opening Options in File Outlook: 00:04:00 •Quick Win -How to Create Folder in Outlook: 00:01:00 •Quick Win -How to Change Outlook Style: 00:01:00 •Quick Win - How To Use Quick Access Toolbar: 00:01:00 •New Email Options in Outlook: 00:03:00 •Basic Text in New Email: 00:07:00 •Name, Include and Tags in New Email: 00:03:00 •Inserting Table Into New Email: 00:10:00 •Inserting Images Into New Email: 00:10:00 •Inserting Shapes Into New Email: 00:06:00 •Inserting SmartArt Into New Email: 00:04:00 •Inserting New Chart Into New Email: 00:05:00 •Taking Screenshot Into New Email: 00:02:00 •Links, Text and Symbol: 00:03:00 •Themes, Show Fields, Encrypt, Tracking and More Options in New Email: 00:03:00 •Formatting Text in New Emails: 00:03:00 •Reviewing Menu in New Email: 00:03:00 •New Appointment at Home Menu: 00:06:00 •New Meeting at Home Menu: 00:01:00 •New Contact in Home Menu: 00:05:00 •Create New Task: 00:03:00 •Other New Item in Home: 00:02:00 •Email Deletion in Outlook: 00:02:00 •Responding to An Email in Outlook: 00:02:00 •Quick Steps, Tag and Other Functions: 00:03:00 •Complete Guide of Send and Receive: 00:03:00 •Complete Folder Guide: 00:05:00 •View and Help in Outlook: 00:04:00 •Options Intro: 00:03:00 •General Options in Outlook: 00:05:00 •Mail Options in Outlook: 00:06:00 •Calendar Options in Outlook: 00:03:00 •Contact Options in Outlook: 00:01:00 •Task Options in Outlook: 00:01:00 •Search Options in Outlook: 00:02:00 •Language Options in Outlook: 00:02:00 •Ease of Access Options in Outlook: 00:02:00 •Advanced Option in Outlook: 00:04:00 •Ribbon and Quick Access Toolbar Customization: 00:02:00 •Quick Win - Create Unknown Password: 00:01:00 •Security Is Everything: 00:01:00 •Quick Win - Insecurity Is Coming from You and Others: 00:01:00 •Understand Security Type or Category: 00:02:00 •Life Savers - You Should Know These: 00:04:00 •Have Proper Password - Start Securing You Now: 00:03:00 •Don't Use the Same Password Anymore: 00:02:00 •Should You Use Longer Password or Complicated!: 00:03:00 •Last-Pass & Authy Mobile App: 00:02:00 •The Best and Only Solution to Make and Keep Password Un-Crack-Able: 00:08:00 •Last-pass Setup and Configure: 00:10:00 •Last-Pass Options Part 1: 00:03:00 •Last-Pass Options Part 2: 00:04:00 •Last-Pass Option Part 3: 00:04:00 •2FA Makes You Even Stronger in Password: 00:05:00 •Security Is Everything, Keep Secured Your Devices: 00:07:00 •Security on Your Data and Privacy: 00:08:00 •Congratulation: 00:01:00 •Assignment -The Complete Microsoft Outlook Masterclass: 00:00:00

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

Getting Started The OTHM Level 7 Diploma in Immersive Software Engineering aims to equip learners with advanced-level knowledge and skills to design, develop, and evaluate immersive software engineering systems. By completing this qualification, learners will acquire the skills to support research and innovation in various domains, such as Web and cloud technologies, Security, Automation, Data analytics, and Project methodologies. The primary objective of this diploma is to develop critical thinking and research skills in learners to identify and address complex problems in the software engineering field. Key Benefits This qualification will bring you many vital benefits, such as; The study program is designed to be both stimulating and challenging, providing learners with a chance to gain essential subject knowledge to help them succeed in further studies or the workforce. The program's content has been updated to match the latest employer and higher education requirements. Assessments evaluate both cognitive and affective skills, along with applied skills. Learners will develop valuable knowledge and academic skills, including active research, effective writing and analysis, creative problem-solving, decision-making, and digital literacy. Key Highlights Are you aspiring to become a Software Developer? Then, the OTHM Level 7 Diploma in Immersive Software Engineering program offered by the School of Business and Technology London is the right solution for you. 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 OTHM-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 OTHM Level 7 Diploma in Immersive Software Engineering can open many career pathways including, but not limited to: Chief technology officer; Est. Salary £1,41,489 per annum Senior software engineer; Est. Salary £55,913 per annum Junior software engineer; Est. Salary £25,904 per annum Team Leader; Est. salary £27,903 per annum     About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. 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- Security Engineering Reference No : Unit 1 - F/650/7994 Credit : 20 || TQT : 200 Hours This unit teaches secure software development, system hardening, authentication, encryption, network security, and web application architecture. UNIT2- Software Programming Principles and Practices in Java I Reference No : Unit 2 - H/650/7995 Credit : 20 || TQT : 200 Hours This unit teaches learners about programming languages, including what it is, how it works, and how to interact with computers. Learners will learn the basics through real-world coding examples and regular coding assignments. UNIT3- Agile Project Management Reference No : Unit 3 - J/650/7996 Credit : 20 || TQT : 200 Hours This unit covers project management, Scrum, and Kanab for IT product development. Build products iteratively and optimize value flow for customers. UNIT4- Cloud Computing & DevOps Reference No : Unit 4 - K/650/7997 Credit : 20 || TQT : 200 Hours This unit teaches cloud computing, DevOps, and various cloud models (IaaS, PaaS, SaaS), including different cloud services. UNIT5- Database & SQL Programming Reference No : Unit 5 - L/650/7998 Credit : 20 || TQT : 200 Hours The unit teaches learners the limitations of traditional storage systems, how modern relational databases overcome these challenges, and programming skills to communicate with databases using SQL. UNIT6- Web Designing Reference No : Unit 6 - M/650/7999 Credit : 20 || TQT : 200 Hours This course teaches learners to create HTML, CSS, and JavaScript web pages. Design sites, use styles, tables, lists, and HTML user input properties, and learn JavaScript basics. 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 main aim of the OTHM Level 7 Diploma in Data Science is to enhance the knowledge and skills required to extract business-oriented insights from data. This involves comprehending how value and information circulate in a business and utilising this knowledge to recognise potential business prospects.The main aim of the OTHM Level 7 Diploma in Data Science is to enhance the knowledge and skills required to extract business-oriented insights from data. This involves comprehending how value and information circulate in a business and utilising this knowledge to recognise potential business prospects. Key Benefits This qualification will bring you many vital benefits, such as; Learners can gain the essential subject knowledge needed to progress successfully into further study or the world of work. Refreshed content that is closely aligned with employer and higher education needs Develop a comprehensive knowledge of classical data analytics, including statistical inference, predictive modelling, time series analysis and data reduction. Become familiar with and use the tools and techniques used in data visualisation. Assessments that consider cognitive skills along with affective and applied skills Key Highlights Do you wish to be a Data Scientist? Then, The OTHM Level 7 Diploma in Data Science program offered by the School of Business and Technology London is the right solution for you. 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 OTHM-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 OTHM Level 7 Diploma in Data Science can open many career pathways including, but not limited to: Data scientist- Est. Salary £59,680 Data Analyst- Est. Salary £42,984 Business Analyst-Est. Salary £54,413   About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. 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- Data Science Foundations Reference No : Unit 1 - F/650/5562 Credit : 20 || TQT : 200 Hours This unit introduces various data science concepts, including data administration, governance, and big data sources. UNIT2- Probability and Statistics for Data Analysis Reference No : Unit 2 - H/650/5563 Credit : 20 || TQT : 200 Hours The objective of this unit is to offer a comprehensive introduction to the fundamental principles of probability and statistics, starting from the basics. It will cover a wide spectrum of data analysis procedures and methodologies. UNIT3- Advanced Predictive Modeling Reference No : Unit 3 - J/650/5564 Credit : 20 || TQT : 200 Hours You will become acquainted with key predictive modelling methods and their underlying foundational principles in this unit. UNIT4- Data Analysis and Visualisation Reference No : Unit 4 - K/650/5565 Credit : 20 || TQT : 200 Hours This unit serves as a crucial foundation for grasping the core concepts of the data analysis process, encompassing data collection, data cleansing, data analysis, and the effective communication of insights through visualisations and dashboard tools. UNIT5- Data Mining Machine Learning and Artificial Intelligence Reference No : Unit 5 - J/650/5573 Credit : 20 || TQT : 200 Hours The primary aim of this unit is to provide an introduction to the scientific principles underpinning machine intelligence and to explore the philosophical discourse surrounding the endeavour to simulate human intelligence for addressing real-world challenges. UNIT6- Advanced Computing Research Methods Reference No : Unit 6 - L/650/5566 Credit : 20 || TQT : 200 Hours This unit aims to enhance learners' skills in preparing for diverse forms of academic computing research by guiding them through creating and designing a research proposal. 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.

Description Explore the basics of typography for web and mobile UI to make your design powerful with the Level 3 Diploma in Typography for UI Designers course. The element of every layout is essential while designing a website. The course starts by explaining the typography terms and anatomy. You will learn to create amazing web and mobile app design by using meaningful fonts. The use of fonts, line-height and letter spacing, Google android typography, using Vertical Rhythm in Bootstrap will be discussed here. Then you will learn to balance balancing your design by using LEGO Blocks method. Finally, the procedures for connecting your Photoshop Screen to iPhone or Android Device, and many other essential concepts will be reviewed in the course. Shortly, the course covers the concepts of Font Pairing, Web Typography, App Typography & Vertical Rhythm. Entry Requirement: NOT for Novices (Must have some Photoshop Experience) Web Designers Mobile App Designers All Designers who think their design have something missing Web Developers Graphic Designer 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 recognized 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. Introduction to Typography 1.2.Intro to typography course 00:05:00 1.3. how typography cousre is laid out 00:02:00 1.4.What are Font Families 00:05:00 1.5.typography-antomy-terms 00:07:00 1.6.Humanist Old and Transitional 00:07:00 1.7.Sans-Serif Script Other Sans 00:06:00 1.8. Line-length in Typography 00:03:00 1.9.Alignments of your text 00:05:00 1.10.Line-height matters 00:07:00 1.11.Letter Spacing kerning 00:05:00 1.12.exercise to apply all we learned 00:11:00 More about Typography 2.1.Different Types of Hyphens & Dashes 00:02:00 2.2. About Quotation Marks 00:03:00 Typography Scales and Grids 3.1.1Expanding Scales-NEW 00:07:00 3.1.Roles Of Typefaces-1 00:05:00 3.2.Typography Scale-1 00:03:00 3.3Type Hierarchy Online Tools 00:05:00 3.4.How Many Levels Of Hierarchy-update 00:03:00 3.5.Vertical Rhythm-updated 00:05:00 3.6.Vertical Rhythm In Photoshop 00:07:00 3.7.exercise Vertical Rhythm-1 00:12:00 3.8.modular Grid 00:11:00 EXERCISES: Modular + Baseline Grid Design Ultimate Exericse 4.1.prepare Modular Grid For Design Exericse 00:11:00 4.2.Modular Design part 1 00:16:00 4.3.Modular design 2nd 00:10:00 4.4.Modular Design Refining the design 00:03:00 4.5.Modulr Design 3rd Layout 00:10:00 How to Select Fonts? 5.1.how Many Fonts 00:05:00 5.2.Moods Voices Of Typefaces- 00:13:00 5.3.colors Efffect On Typo 00:04:00 How to Pair Fonts? 6.1.Font Pairing Intro-Updated 00:04:00 6.2.X-height Matching 00:05:00 6.3.Contrast Matching 00:10:00 6.4.Look For Similar Features 00:10:00 6.5.Avoid Too Similarity 00:04:00 6.6.Pairing Fonts Same Family Designer 00:05:00 6.7.Online Tools Font Pairing 00:06:00 How to get Variation in text for Great Designs 7.1.variation with bold italic 00:04:00 7.2.variation with colors 00:03:00 7.3.Variation with Reverse-colors updated- 00:03:00 7.4.variation with lineheight 00:04:00 EXERCISES: Dribbble LEVEL Designs 8.1. Dribbble Hero Design preperation 00:05:00 8.2.dribbble Hero Design V1 Part 1 00:16:00 8.3.dribbble Hero Design V1 Part 2 00:16:00 8.4. Dribbble Hero Variation Intro 00:04:00 8.5. Dribbble Hero Variation 2 Part 1 00:08:00 8.6. Dribbble Hero Variation 2 Part2 00:06:00 Exercise: Social Media Ad Design with 3 different fonts 9.1.summer Discount Ad DesignPreperations 00:04:00 9.2 Preparing base of design 00:07:00 9.3. Adding Text and styles 00:14:00 9.4.final Adjustments 00:03:00 Nature Health Themed Typography Exercises 10.1.juicy Design Exercise Preperations-1 00:03:00 10.2.making Of Juicy Design-2 00:16:00 10.3.juicy Designs Final-3 00:12:00 Typography for Iphone and Android App Designs (Mobile App Typography) 11.1 Intro IOS point sizing 00:05:00 11.2.IOS Font Specs 00:03:00 11.3.Designing multiple IOS Screens 00:14:00 11.4. Student Question About Resoltutions 00:14:00 11.5.connect Your Iphone With Photoshop 00:05:00 11.6. Android Typography 00:04:00 11.7.android Design Exercise For All Sizes 00:09:00 Typography for Web Developers 12.1.Using Google Fonts 00:04:00 12.2.using Premium Fonts 00:06:00 12.3.Intro to css font sizigin 00:03:00 12.4.what Is Em Font Size 00:08:00 12.5.What is rem font size 00:05:00 12.6.How percentage font size works 00:04:00 12.7.How vw font unit works 00:04:00 Responsive Typography for Developers 13.1.how Vertical Rhythm Works In CSS 00:08:00 13.2.Gridlover Exercise 00:08:00 13.3.custom Typographic Scale Boostrap-3 00:13:00 13.4.dont Use Code From Typescale 00:02:00 New and Latest in Typography 14.1.responsive Typography Intro 00:07:00 14.2.different Ratios And Scales In Responsive Typography 00:10:00 14.3.percentage Value Technique For Responsive Type 00:12:00 15.1 Color Fonts 00:05:00 15.2 variable-fonts101 00:08:00 Mock Exam Final Exam Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Overview This comprehensive course on QGIS Cartography will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This QGIS Cartography comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this QGIS Cartography. It is available to all students, of all academic backgrounds. Requirements Our QGIS Cartography is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 9 sections • 44 lectures • 03:58:00 total length •Introduction: 00:01:00 •Labeling Basics: 00:03:00 •Labeling - Text Properties: 00:02:00 •Label Formatting: 00:06:00 •Label Buffers: 00:04:00 •Labels - Backgrounds: 00:03:00 •Labeling Callouts (Leader Lines): 00:03:00 •Labels - Placement: 00:04:00 •Labels - Rendering: 00:05:00 •Labeling Over Orthos: 00:06:00 •Fine Tuning Labels: 00:03:00 •Styling Single Points Lines and Polygons: 00:11:00 •Styling Categorical Data: 00:08:00 •Styling Graduated Data: 00:04:00 •Shapeburst Fills: 00:03:00 •Texture Fills: 00:04:00 •Inverted Polygons: 00:03:00 •Advanced Lines: 00:08:00 •XYZ Tile Basemaps: 00:04:00 •Getting Data from the OSM Website: 00:07:00 •Getting Basemaps from the QuickMapServices Plugins: 00:05:00 •Getting OSM Data with Overpass Turbo: 00:06:00 •Rule Based Symbology: 00:10:00 •Rule Based Labeling: 00:03:00 •Bringing in Mapbox Baselayers (an Introduction): 00:13:00 •Natural Earth Data: 00:07:00 •Setting Up a Page Layout: 00:14:00 •Layout Templates: 00:05:00 •Creating Map Grids (Lat & Long Graticules): 00:08:00 •Inset or Overview Maps: 00:05:00 •Global Overview Maps: 00:05:00 •Adding a Legend: 00:07:00 •Adding Text to a Layout: 00:03:00 •Adding Images: 00:05:00 •Coastal Glow Effect: 00:03:00 •Concentric Water Lines (Equally Spaced): 00:05:00 •Concentric Water Lines (Variably Spaced): 00:08:00 •Half Tone Coastal Fill Pattern: 00:06:00 •Getting DEMs from USDA/NRCS: 00:08:00 •Creating Contour Lines from DEMs (in Feet and Meters): 00:11:00 •Labeling Contour Lines: 00:06:00 •Drop Shadowing Polygon Features: 00:03:00 •Resources - QGIS Cartography: 00:00:00 •Assignment - QGIS Cartography: 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.

CSS Certification Level 1 CSS is as critical to web architecture, as designing is to building. It is the establishment of each site and is additionally one of the least demanding coding techniques to learn. While html is viewed as the granddad of coding, CSS is the thing that makes a site look better. Consequently, it is exceptionally valuable to comprehend what CSS coding is and how to utilize it. As a rule when you are planning your own site page, it is helpful to realize how to execute the plan components in the back end. Regardless of whether you recruit an assistance or somebody to do the programming for you, it is still helpful to see how everything functions. In this instructional exercise, you won't just find out about the significance of CSS coding, yet additionally how to start programming utilizing this simple CSS coding technique. Albeit this can sound scary, the prospects of making an excellent and fun plan are boundless when you realize how to utilize and execute CSS. Allow us to investigate what you will realize in the course and what a portion of the advantages of taking this course are: What you will realize in this course: The most effective method to work on coding utilizing a free site, for example, jsbin.com The contrast among html and CSS coding and how to disclose to them separated Comprehend the utilization of section labels, how to isolate them and make distinctive format choices Figure out how to distinguish the utilization of an 'id' and 'classes' Normally utilized text styles and how to add colors utilizing a hex code Instructions to successfully utilize cushioning to plan the format of the site page The most effective method to utilize Latin content as a 'skeleton' when assembling a page Advantages of taking this course: Figure out how to modify a website page and make back-end changes Get a good deal on website specialists Find out about various parts of website composition, for example, textual styles that are utilized, when they are utilized and what makes them one of a kind Step by step instructions to guarantee that a site can be suitably seen on all stages, i.e., work area, cell phones Instructions to plan an excellent website page by embeddings pictures and messing with design so the site page and foundation supplement one another Start to upgrade innovative yield