Remote sensing technology has transformed the way we perceive and analyse the Earth’s surface. With a broad range of applications from agriculture and environmental management to urban planning and climate research, this course introduces learners to the core concepts and techniques that underpin this fascinating field. Over the duration of this course, you’ll gain a solid foundation in remote sensing principles, satellite data interpretation, and various imaging systems that provide invaluable insights into our planet. The course is designed to equip you with the knowledge necessary to understand the growing significance of remote sensing in solving complex global challenges. Whether you're a student of environmental science, geography, or simply curious about the potential of remote sensing technology, this course will enhance your understanding of how we collect and process data remotely. By exploring the key technologies used in satellite imagery, radar systems, and the application of data for decision-making, you'll be poised to explore the wide range of industries that benefit from this technology. This course is an ideal starting point for those wishing to pursue further study or a career in geospatial technologies. Step into the world of remote sensing and uncover how these advanced systems can make a real impact on our world. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01: Introduction to Remote Sensing Module 02: Electromagnetic Spectrum and Remote Sensing Module 03: Platforms and Sensors Module 04: Image Interpretation Module 05: Remote Sensing Data Analysis Module 06: Applications of Remote Sensing in the UK Module 07: Future Trends in Remote Sensing Learning Outcomes: Master electromagnetic spectrum concepts crucial for remote sensing proficiency. Acquire knowledge of diverse platforms and sensors employed in the field. Develop expertise in interpreting intricate visual data from remote sensing. Hone skills in remote sensing data analysis tailored to the UK landscape. Explore applications spanning environmental monitoring to urban planning. Stay ahead by understanding the future trends shaping remote sensing technology. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Enthusiasts eager to explore remote sensing technology. Students aspiring to deepen their knowledge in earth observation. Professionals seeking to enhance their skill set in geospatial analysis. Government employees involved in environmental monitoring. Researchers interested in leveraging remote sensing for diverse studies. Urban planners aiming to integrate technology into city development. Geographers keen on applying remote sensing in their research. Anyone intrigued by the future possibilities of remote sensing technology. Career path Environmental Analyst GIS Specialist Satellite Data Analyst Urban Planner Remote Sensing Researcher Geospatial Consultant Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.
Be fully equipped for a lucrative career and assured future in QuickBooks Bookkeeping by learning to be a bookkeeper skilled at using QuickBooks. Take our Advanced Diploma in QuickBooks Online Bookkeeping course, and you'll be trained in the most sought-after accounting skill, as well as being familiar with the industry-standard software. Every successful company has a gifted bookkeeper working on their finances and almost certainly using QuickBooks. This course will quickly teach you all the necessary techniques for this form of accounting, with many tips and recommendations on how to customise the software to fit all your business needs. Enrol now and start your new career in finance. Courses included with this bundle Course 01: Diploma in QuickBooks Bookkeeping Course 02: Financial Modeling Using Excel Course 03: Team Management Course 04: Data Analysis in Excel Level 3 Course Course 05: Business Analysis Level 3 Course 06: Accounting and Tax Course 07: Fraud Management & Anti Money Laundering Awareness Complete Diploma Course 08: Time Management Course 09: Performance Management Course 10: Decision Making Course 11: Quality Management Enrol now in this QuickBooks bundle now! Course Curriculum of QuickBooks Bundle Course 1: Diploma in QuickBooks Bookkeeping Getting prepared - access the software and course materials Getting started Setting up the system Nominal ledger Customers Suppliers Sales ledger Purchases ledger Sundry payments Sundry receipts Petty cash VAT - Value Added Tax Bank reconciliation Payroll / Wages Reports Tasks CPD 110 CPD hours / points Accredited by CPD Quality Standards Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Diploma in Quickbooks Bookkeeping) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.
The Internet of Things (IoT) promises a wide range of benefits for industry, energy and utility companies, municipalities, healthcare, and consumers. Data can be collected in extraordinary volume and detail regarding almost anything worth measuring, such as public health and safety, the environment, industrial and agricultural production, energy, and utilities.
Level 5 & 7 Endorsed Diploma | QLS Hard Copy Certificate Included | FREE 5 CPD Courses | Lifetime Access
Duration 2 Days 12 CPD hours This course is intended for This course is primarily for Application Consultants, Business Analysts, Business Process Owners/Team Leaders/Power Users, and Developer Consultants. Overview At course completion students will know- The basic functions and navigation options of BusinessObjects Analysis for Microsoft Office- The special functions and layout design options of BusinessObjects Analysis for Microsoft Office In this course, students learn the basic functions and navigation options of the Analysis edition for Microsoft Office. Students will also learn the special functions and layout design options of Analysis. Components and Data Sources for Analysis Using Analysis Components and Data Sources Customization for Workbook Data Analysis Using the Basic Components of Analysis Sorting and Filtering Workbook Members Filtering Selected Workbook Members by Measure for Enhanced Analysis Using Hierarchies for Data Analysis in Workbooks Using Inserted Components to Add Workbook Functionality Configuring Filter Components Using Formulas to Enhance the Workbook Layout Defining Conditional Formatting Options for Workbooks Using a Prompting Dialog in Workbook Queries Extending Workbook Display Options with Functions and Microsoft Excel VBA Using Styles to Customize Workbook Appearance Setting Preferences to Control Workbook Behavior Publishing Analysis Documents to the BI Platform Server Presentation of Workbook Analysis Data Presenting Analysis Data for Business Users Additional course details: Nexus Humans BOAN10 SAP BusinessObjects Analysis for Microsoft Office 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 BOAN10 SAP BusinessObjects Analysis for Microsoft Office 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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This bundle course offers an opportunity to foster your career opportunities with an expert-level understanding of data science and become skilful in this industry. Take this course anywhere and at any time. Don't let your lifestyle limit your learning or your potential. Data Science Course Bundle 2022 will provide you with the CPD certificate that you'll need to succeed. Gain experience online and interact with experts. This can prove to be the perfect way to get noticed by a prospective employer and stand out from the crowd. Data Science Course Bundle 2022 has been rated and reviewed highly by our learners and professionals alike. We have a passion for teaching, and it shows. All of our courses have interactive online modules that allow studying to take place where and when you want it to. The only thing you need to take Data Science Course Bundle 2022 is Wi-Fi and a screen. You'll never be late for class again. Experienced tutors and mentors will be there for you whenever you need them, and solve all your queries through email and chat boxes. Benefits you'll get choosing Apex Learning for this Course: One payment, but lifetime access to 11 CPD courses Certificates, student ID for the title course included in a one-time fee Full tutor support available from Monday to Friday Free up your time - don't waste time and money travelling for classes Accessible, informative modules taught by expert instructors Learn at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills Gain valuable knowledge without leaving your home What other courses are included with this Course? Level 2 Microsoft Office Essentials Microsoft Teams Leadership & Management Diploma Working from Home Essentials Mental Health and Working from Home Online Meeting Management Effective Communication Skills Time Management Report Writing Emotional Intelligence and Human Behaviour Curriculum ***Data Science Course Bundle 2022*** Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview Set-up the Environment for the Course (lecture 1) Set-up the Environment for the Course (lecture 2) Two other options to setup environment Python Essentials Python data types Part 1 Python Data Types Part 2 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) Python Essentials Exercises Overview Python Essentials Exercises Solutions Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. NumPy arrays, built-in methods, array methods and attributes. Indexing, slicing, broadcasting & boolean masking Arithmetic Operations & Universal Functions Exercises Overview Exercises Solutions Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. Pandas Introduction Pandas Data Structures - Series Pandas Data Structures - DataFrame Handling Missing Data Data Wrangling - Combining, merging, joining Groupby Useful Methods and Operations Project 1 (Overview) Customer Purchases Data Project 1 (Solutions) Customer Purchases Data Project 2 (Overview) Chicago Payroll Data Project 2 (Solutions Part 1) Chicago Payroll Data Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach Matplotlib Essentials - Exercises Overview Matplotlib Essentials - Exercises Solutions Python for Data Visualization using Seaborn Introduction & Installation Distribution Plots Categorical Plots (Part 1) Categorical Plots (Part 2) Axis Grids Matrix Plots Regression Plots Controlling Figure Aesthetics Exercises Overview Exercise Solutions Python for Data Visualization using pandas Pandas Built-in Data Visualization Pandas Data Visualization Exercises Overview Panda Data Visualization Exercises Solutions Python for interactive & geographical plotting using Plotly and Cufflinks Interactive & Geographical Plotting (Part 1) Interactive & Geographical Plotting (Part 2) Interactive & Geographical Plotting Exercises (Overview) Interactive & Geographical Plotting Exercises (Solutions) Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Typesâ¦.. Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff Linear Regression Model - Hands-on (Part 1) Linear Regression Model Hands-on (Part 2) Good to know! How to save and load your trained Machine Learning Model! Linear Regression Model (Insurance Data Project Overview) Linear Regression Model (Insurance Data Project Solutions) Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityâ¦etc. Logistic Regression Model - Hands-on (Part 1) Logistic Regression Model - Hands-on (Part 2) Logistic Regression Model - Hands-on (Part 3) Logistic Regression Model - Hands-on (Project Overview) Logistic Regression Model - Hands-on (Project Solutions) Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality â¦. K Nearest Neighbors - Hands-on K Nearest Neighbors (Project Overview) K Nearest Neighbors (Project Solutions) Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Baggingâ¦. Decision Tree and Random Forests - Hands-on (Part 1) Decision Tree and Random Forests (Project Overview) Decision Tree and Random Forests (Project Solutions) Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) Support Vector Machines - Hands-on (SVMs) Support Vector Machines (Project 1 Overview) Support Vector Machines (Project 1 Solutions) Support Vector Machines (Optional Project 2 - Overview) Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method â¦.. K Means Clustering - Hands-on K Means Clustering (Project Overview) K Means Clustering (Project Solutions) Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) Principal Component Analysis (PCA) - Hands-on Principal Component Analysis (PCA) - (Project Overview) Principal Component Analysis (PCA) - (Project Solutions) Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance Python for Recommender Systems - Hands-on (Part 1) Python for Recommender Systems - - Hands-on (Part 2) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) NLP-Challenges, Data Sources, Data Processing â¦.. Feature Engineering and Text Preprocessing in Natural Language Processing NLP - Tokenization, Text Normalization, Vectorization, BoWâ¦. BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes ⦠Pipeline feature to assemble several steps for cross-validation⦠How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £10 * 11 = £110) Hard Copy Certificate: Free (For The Title Course) If you want to get hardcopy certificates for other courses, generally you have to pay £20 for each. But this Fall, Apex Learning is offering a Flat 50% discount on hard copy certificates, and you can get each for just £10! P.S. The delivery charge inside the U.K. is £3.99 and the international students have to pay £9.99. CPD 20 CPD hours / points Accredited by CPD Quality Standards Who is this course for? There is no experience or previous qualifications required for enrolment on this Data Science Course Bundle 2022. It is available to all students, of all academic backgrounds. Requirements Our Data Science Course Bundle 2022 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 this CPD certificate 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. Certificates Certificate of completion Digital certificate - Included
Begin your machine learning journey by learning all about linear regression, logistic regression, and cluster analysis
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This Customer Service, KYC & CRM Training Bundle Contains 6 of Our Premium Courses for One Discounted Price: Course 01: Diploma in Customer Services Course 02: Diploma in Know Your Customer (KYC) Course 03: Diploma in Customer Relationship Management (CRM) Course 04: Customer Service & Environment Course 05: Customer Analytics Training Taking this course will not only improve your understanding and skills in customer service, KYC, and CRM but also significantly enhance your career prospects. As businesses increasingly recognise the value of customer-centric service models and compliance with regulatory standards, the demand for qualified professionals in these areas is soaring. So enrol now on this training and position yourself as a valuable asset in any customer-focused industry! Why Choose Our Customer Service, KYC & CRM Training Course? Get a chance to order a QLS Endorsed Certificate upon completion of the course Get a Free Student ID Card with this training course The course is Affordable and Simple to understand Lifetime Access to the course materials The course comes with 24/7 Tutor Support So enrol now in this Customer Service, KYC & CRM Training Today to advance your career! Assessment Process of the Customer Service, KYC & CRM Training Once you have completed all the modules on the course, you can assess your computer skills and knowledge with an optional assignment. Our expert will assess your assignment and give you feedback afterwards. Course 01: Customer Services Co-ordinator Training Introduction to Customer Service What's Different about Good Customer Service? Customer Relationship Management Customer Service Communication Strategies Data Analysis in CRM Deepening Customer Relationship Handling Customer Complaints Aspects of Phone Etiquette Know Your Customer (KYC) Customer Due Diligence - CDD Course 02: Know Your Customer (KYC) Introduction to KYC Customer Due Diligence AML (Anti-Money Laundering) KYC, AML and Data Privacy Regulations for Businesses Operations in the United Kingdom Regulations to be Complied by Industries Methods for carrying out KYC and AML and the Future of KYC Compliance Course 03: Customer Relationship Management CRM Fundamentals CRM Strategies Data Analysis in CRM CRM Databases Deepening Customer Relationship Handling Customer Complaints Future of CRM =========>>>>> And 2 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*6 = £78) CPD 170 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Customer Service Executives Compliance officers CRM managers Marketing professionals Fraud analysts Requirements You will not need any prior background or expertise to enrol in this Customer Service, KYC & CRM Training Course. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Customer Service Manager - £30,000 to £50,000 KYC Analyst - £25,000 to £40,000 CRM Specialist - £30,000 to £45,000 Customer Insights Analyst - £35,000 to £55,000 Fraud Prevention Specialist - £28,000 to £45,000 Customer Experience Manager - £32,000 to £60,000 Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free CPD Accredited Hard Copy Certificate Hard copy certificate - £29 CPD Accredited Certificate 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery) Customer Services Co-ordinator Training at QLS Level 4 Hard copy certificate - £99 After successfully completing the Diploma in Customer Services Co-ordinator Training at QLS Level 4 course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 99 GBP inside the UK 109 GBP (including postal fees) for international delivery
Getting Started The Level 7 Diploma in Data Science empowers learners to formulate research hypotheses, effectively organize, analyze, and visualize data, unveiling innovative solutions that can challenge conventional business assumptions. It aims to support organizations and their managers in critical decision-making by applying various data science techniques and models. The Qualifi Level 7 Diploma in Data Science offers learners the opportunity to: Obtain a globally recognized qualification from a prestigious awarding organization. Access an up-to-date curriculum aligned with the latest developments in the contemporary business landscape. Acquire new skills and knowledge directly applicable to data science and analytics. Benefit from assessments that are evaluated and moderated by respected academic and industry professionals with hands-on experience in data science and analytics. Progress along a pathway toward pursuing a Master's degree or higher qualifications. Key Benefits Attain comprehensive mathematical and statistical expertise for advanced data analysis. Master programming in R, Python, and SQL for proficient data analysis. Develop strong data management skills, including data evaluation, structuring, and cleaning. Learn effective data visualization techniques and tools. Gain a deep understanding of classical data analytics, covering statistical inference, predictive modelling, time series analysis, and data reduction. Apply common machine learning techniques to solve business and other real-world problems. Grasp essential concepts from contemporary business themes. Apply data science and analytics effectively within business and organizational contexts. Key Highlights Remember! The assessment for the qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our QUALIFI-approved tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Progress along a pathway to gain a Master's degree or beyond. 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 Possess a minimum of a Level 6 qualification in a related sector. Hold a Bachelor's degree. Demonstrate at least three years of relevant work experience showcasing current and pertinent industry knowledge. Individuals with substantial practical experience but lacking formal qualifications may also be considered in exceptional cases. Their eligibility will be determined through an interview process, where they must demonstrate their capacity to meet the program's demands Progression Upon completing the QUALIFI Level 7 Diploma in Data Science, learners have several promising progression pathways: QUALIFI Level 7 and/or 8 Diploma: Graduates can advance their education and expertise by enrolling in a QUALIFI Level 7 and/or Level 8 Diploma, which offers higher-level qualifications in their chosen field. Direct Employment in an Associated Profession: Learners can enter the workforce directly, securing employment in professions related to data science, analytics, and other relevant areas, applying their newly acquired skills and knowledge. Pursue a Master's Degree Dissertation: Graduates also have the option to undertake an appropriate dissertation-only program for a Master's Degree at one of QUALIFI's university partnerships. This pathway allows them to specialize further and advance their academic qualifications. 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. To know about the Qualification Structure, please get in touch with us at: admission@sbusinesslondon.ac.uk 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.
Overview Explore the intricacies of clinical research and understand the administration process with our Clinical Research Administration Training course. This course will help you deepen your knowledge and acquire the ability to seek career prospects in the relevant sectors. The course is packed with high;y valuable information on clinical research. From the informative modules, you will learn the core concepts of clinic trial designing and planning. The course will help you develop the skills for data management and analysis. You will be able to build your expertise in monitoring and auditing. Moreover, you will acquire the skills required for quality control and site management as well. After the course, you will receive a CPDQS-accredated certificate of achievement. This certificate will enhance your employability and help you reach your career goals. Enrol now! Course Preview Learning Outcomes Understand the significance of clinical research in healthcare Learn about the process of clinical trail design and planning Deepen your knowledge of ethics and regulatory compliance Develop the ability for data management and record-keeping Know how to monitor and audit the trials Grasp the process of study site management and quality control Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Engaging tutorial videos, materials from the industry-leading experts Opportunity to study in a user-friendly, advanced online learning platform Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email. What Skills Will You Learn from This Course? Trail planning Data management and analysis Monitoring and auditing Site management Quality control Compliance management Who Should Take This Clinical Research Administration Training? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Clinical Research Administration Training course is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Certificate of Achievement After completing this course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates & Transcripts can be obtained either in Hardcopy at £14.99 or in PDF format at £11.99. Career Pathâ This exclusive Clinical Research Administration Training course will equip you with effective skills and abilities and help you explore career paths such as Clinical Research Administrator Clinical Research Associate Clinical Research Coordinator Clinical Data Manager Module 01: Introduction to Clinical Research Administration Introduction to Clinical Research Administration 00:15:00 Module 02: Clinical Trial Design and Planning Clinical Trial Design and Planning 00:11:00 Module 03: Ethics and Regulatory Compliance Ethics and Regulatory Compliance 00:13:00 Module 04: Institutional Review Boards (IRBs) and Ethics Committees Institutional Review Boards (IRBs) and Ethics Committees 00:10:00 Module 05: Data Management and Recordkeeping Data Management and Recordkeeping 00:12:00 Module 06: Safety Reporting and Adverse Events Safety Reporting and Adverse Events 00:10:00 Module 07: Clinical Trial Monitoring and Auditing Clinical Trial Monitoring and Auditing 00:09:00 Module 08: Study Site Management and Quality Control Study Site Management and Quality Control 00:17:00 Module 09: Data Analysis and Reporting Data Analysis and Reporting 00:09:00 Module 10: The Future of Clinical Research The Future of Clinical Research 00:10:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00