2173 Languages courses in Pontypridd delivered Online

Duration 4 Days 24 CPD hours This course is intended for Data Modelers Overview Please refer to course overview This offering provides participants with introductory to advanced knowledge of metadata modeling concepts, and how to model metadata for predictable reporting and analysis results using IBM Cognos Framework Manager. Participants will learn the full scope of the metadata modeling process, from initial project creation, to publishing of metadata to the web, enabling end users to easily author reports and analyze data. Introduction to IBM Cognos Framework Manager Model data and identifying related data Define requirements and modeling strategies Overview of IBM Cognos Framework Manager Create a baseline project Extend a model Prepare reusable metadata Model for predictable results in IBM Cognos Framework Manager Identify query issues Identify reporting traps Model virtual star schemas Use query subjects, modify relationships, and consolidate metadata using virtual objects Create calculations, filter data, and customize metadata for runtime Implement a time dimension and specify determinants Model for presentation in IBM Cognos Framework Manager Create a presentation view Examine data source query subject types and stored procedure query subject types Specify data security and package security Specify object security and dynamic data security Create analysis objects Manage OLAP data sources Advanced capabilities in IBM Cognos Framework Manager Explore SQL generation and the use of governors Examine the use of IBM Cognos SQL and generated SQL for DMR data Other query considerations Use session parameters, prompt macros, and security macro functions Use materialized views, minimize SQL, and enable Dynamic Query Mode (DQM) DQM, CQM, caching metadata, query processing, aggregate calculation, and other ways to improve performance Extended capabilities in IBM Cognos Framework Manager Perform basic maintenance and management on a model Remap metadata to another source and import and link additional data sources Run scripts to automate or update a model and report on a model Segment a project, link a project, and branch a model Nest packages and specify package languages and functions Explore additional modeling techniques and customize metadata for a multilingual audience Additional course details: Nexus Humans B6252 IBM Cognos Framework Manager: Design Metadata Models v11.1.x training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the B6252 IBM Cognos Framework Manager: Design Metadata Models v11.1.x course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

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Highlights of the Course Course Type: Online Learning Duration: 4 Hours 20 Minutes Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about Microsoft 365 Understand the core competencies and principles of Microsoft 365 Explore the various areas of Microsoft 365 Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert office admin New Features in Microsoft 365 Apps Course Master the skills you need to propel your career forward in Microsoft 365. This course will equip you with the essential knowledge and skillset that will make you a confident office admin and take your career to the next level. This comprehensive Microsoft 365 apps course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this Microsoft 365 apps course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective Microsoft 365 practice and equip you with the essential skills, confidence and competence to assist you in the Microsoft 365 industry. You'll gain a solid understanding of the core competencies required to drive a successful career in Microsoft 365. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for office admin or for people who are aspiring to specialise in Microsoft 365. Enrol in this Microsoft 365 apps course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive Microsoft 365 apps course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this Microsoft 365 can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This Microsoft 365 apps course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This Microsoft 365 apps course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This Microsoft 365 apps course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Study Plex Subscription Study plex also provides a subscription option that allows you unlimited access to more than 700+ CPD courses for learning. You only need to spend £79 to take advantage of this fantastic offer, and you'll get an unlimited subscription for a full year. Additionally, you can cancel your membership from your account at any time by getting in touch with our friendly and devoted customer care team. Visit our subscriptions page for more details if you're interested. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Introduction to the Concept of Microsoft 365 What is Microsoft 365. 00:02:00 What's the Difference Between Office 2019 and Microsoft 365. 00:02:00 Understand and Manage Updates in Microsoft 365 00:01:00 What is The Cloud. 00:03:00 New Functions, Which are Almost Identical In All Office Applications New Search Function 00:01:00 Auto Save and Version Management 00:05:00 Fast File Search 00:01:00 How to Share Files 00:01:00 Black Theme 00:03:00 The Dictate Function 00:03:00 Translate Text Into Other Languages 00:03:00 Insert Icons 00:09:00 Add Transparency To Images 00:03:00 Work with 3D Models 00:04:00 Work with Animated 3D Models 00:03:00 Use @Mentions in Comments 00:03:00 Mark Comments as Done 00:03:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Welcome to this project-based course where you will build and deploy a realtor clone application using the latest version of React, Firebase, and Tailwind CSS. Learn to create and deploy a website professionally for showcasing to friends and clients, or adding it to your portfolio. Basic knowledge of HTML, CSS, and JavaScript is expected.

Getting Started The OTHM Level 5 Extended Diploma in Information Technology, aims to offer learners a strong groundwork for a career across various organisations. This program prepares each learner to be 'business ready,' possessing confidence, independent thinking abilities, a comprehensive understanding of Information Technology, and the aptitude to adapt to evolving circumstances swiftly. Certainly, here are the key points: - This qualification suits individuals either embarking on or contemplating a private or public sector business career. - Attaining the Level 5 Diploma in Information Technology opens up avenues for further educational pursuits or employment opportunities. Key Benefits Comprehend methods and strategies for protecting against cyber security threats and vulnerabilities. Acquire the capability to develop a software program that addresses a problem using object-oriented programming principles. Acquire the ability to create a system design utilising modelling techniques. Acquire the capability to develop a website or mobile application that meets client and user requirements. Develop the ability to assist and resolve computing issues and problems effectively. Comprehend the compliance requirements and regulations associated with digital information. Key Highlights Are you worried about the recent changes in the IT sector? Then, OTHM Level 5 Extended Diploma in Information Technology is the ideal starting point for your career journey. The course will ensure access to the first-class education needed to achieve your goals and dreams and maximise 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 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 After completing a Level 5 Extended Diploma in Information Technology, individuals can explore various career opportunities in the legal field and related professions. Here are some potential career paths:  Software Developer with an average salary of £46,384 per year Cyber security Analyst with an average salary of £49,002 per year Database Administrator, with an average salary of £41,063 per year IT Support Specialist with an average salary of £33,824 per year. 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. 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 Assignment-based assessment (Formative and Summative) No exam Entry Requirements These qualifications are intended for learners typically 18 years and older. Learners' entry profiles are expected to encompass at least one of the following criteria:  A relevant Level 3 Diploma qualification or its equivalent credential. Completion of GCE Advanced level courses in 2 subjects or an equivalent qualification. Mature learners aged over 21 with pertinent management experience (prior experience verification required from the delivery centre before registration) International students whose first language is not English must score 5.5 or above in IELTS (International English Language Testing System).   Progression Successful completion of the OTHM Level 5 Extended Diploma in Information Technology provides learners the opportunity to: Option for OTHM Level 6 Extended Diploma in Information Technology or Learners may be eligible to gain direct entry into the final year of a three-year UK Bachelor's degree. Why gain a OTHM Qualification? Quality, Standards and Recognitions- OTHM qualifications are approved and regulated by Ofqual (Office of the Qualifications and Examinations Regulation); hence, the learners can be very confident about the quality of the qualifications as well. Career Development to increase credibility with employers- All OTHM qualifications are developed to equip learners with the skills and knowledge every employer seeks. The learners pursuing an OTHM qualification will obtain an opportunity to enhance their knowledge and grow key competencies to tackle situations and work on projects more effectively, which will, in turn, give learners the potential to get promotions within the workplace. Alternatively, it allows them to progress onto an MBA top-up/Bachelor's degree / Master's degree programme around the World. Flexible study options- All OTHM qualifications have a credit value, which tells you how many credits are awarded when a unit is completed. The credit value will indicate how long it will normally take you to prepare for a unit or qualification. Three different types of qualification are: The award is achieved with 1 - 12 credits The certificate is completed with 13 - 36 credits The diploma is completed with at least 37 credits 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- CYBER SECURITY Reference No : D/650/3383 Credit : 20 || TQT : 200 In this unit, learners will acquire foundational knowledge about cyber security, including its historical evolution, legal and regulatory aspects, risk assessment and management, and its repercussions on individuals and organisations. Additionally, learners will gain insights into methods for safeguarding against cyber threats and how to respond to a cyber security breach effectively. UNIT2- PRINCIPLES OF COMPUTER PROGRAMMING Reference No : F/650/3384 Credit : 20 || TQT : 200 This unit aims to provide learners with a foundational comprehension of object-oriented programming languages and the ability to create efficient code. Additionally, it offers learners insight into software development and fundamental principles of algorithms. UNIT3- SYSTEMS ANALYSIS AND DESIGN Reference No : F/617/2266 Credit : 20 || TQT : 200 This unit aims to cultivate learners' understanding of system analysis and design within an organisational context. This unit introduces learners to various techniques employed in systems analysis and design and the methodologies utilised in system development. UNIT4- WEB AND MOBILE APPLICATIONS Reference No : H/650/3385 Credit : 20 || TQT : 200 This unit aims to provide learners with knowledge about contemporary web and mobile application design technology, along with the practices and tools commonly employed in this field. Learners will gain the skills needed to develop websites or mobile applications according to the provided design specifications. UNIT5- COMPUTER AND NETWORK TECHNOLOGY Reference No : L/617/2268 Credit : 20 || TQT : 200 This unit offers learners an insight into the fundamental concepts of computer networking and cloud technologies, including their operational principles, protocols, standards, security aspects, and associated prototypes. Learners will delve into various hardware and software alternatives and gain proficiency in configuring and installing these technologies. UNIT6- MANAGING DIGITAL INFORMATION Reference No : J/650/3386 Credit : 20 || TQT : 200 This unit aims to demonstrate how communication, knowledge, and information can be enhanced within an organisation, including optimising the utilisation of IT systems. UNIT7- SOFTWARE ENGINEERING Reference No : K/617/2276 Credit : 20 || TQT : 200 This unit aims to provide learners with an understanding of software development, its evolution as an engineering discipline, and the ability to develop, maintain, and enhance high-quality software systems. UNIT8- DATABASE SYSTEMS Reference No : H/617/2275 Credit : 20 || TQT : 200 This unit aims to equip learners with knowledge in the development of database systems and to facilitate the development of robust skills in database design and development. UNIT9- ADVANCED SYSTEMS ANALYSIS & DESIGN Reference No : D/617/2274 Credit : 20 || TQT : 200 This unit aims to impart a comprehensive understanding of the roles of systems analysts and designers and enable learners to apply contemporary techniques associated with these roles. UNIT10- MANAGEMENT INFORMATION SYSTEMS Reference No : Y/617/2273 Credit : 20 || TQT : 200 This unit aims to provide learners with an understanding of how organisations utilise information to create, implement, maintain, and oversee secure information systems that facilitate their operations. This unit explores how systems can support essential business functions and empower organisations to enhance productivity and competitiveness in the global marketplace. UNIT11- NETWORK INFORMATION SYSTEMS Reference No : R/617/2272 Credit : 20 || TQT : 200 This unit aims to foster learners' understanding and proficiency in the planning, configuration, establishment, and administration of various network types, including LANs, PANs, MANs, and WANs. Additionally, it aims to cultivate skills in network monitoring and impart knowledge about Network Security, network protocols, and industry standards. UNIT12- IT PROJECT MANAGEMENT Reference No : L/617/2271 Credit : 20 || TQT : 200 This unit aims to cultivate learners' competencies in overseeing Information Technology projects aimed at implementing systems or effecting organisational change. 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.

This Design Patterns course is a unique offering that focuses on modern C++ features and behavioral design patterns. The course content is extensive and carefully curated, with a deep dive into each pattern to ensure a thorough understanding of its implementation. Gain a comprehensive understanding of the pattern's intricacies.

Are you interested in learning and deploying applications at scale using Google Cloud platform? Do you lack hands-on exposure when it comes to deploying applications and seeing them in action? Then this course is for you. You will also learn microservices and event-driven architectures with real-world use case implementations.