11748 Courses in Cardiff delivered Online

Being a leader can take you into vulnerable places - the unfamiliar, high expectations and high visibility, with everyone looking to you for guidance in the big moments. It is natural for doubts to creep in, including the echoes of past knock-backs, put-downs, pressures, stereotyping and internalised oppression.

Getting Started OTHM Level 3 Foundation Diploma for Higher Education Studies aims for academic and professional development. It helps the learners acquire knowledge regarding the various courses the university provides. This qualification helps the learner to gain deep knowledge about current opportunities and scope of higher education. This qualification helps the learner to opt for the next level of higher education. The qualifications awarded by OTHM at RQF Level 3 represent practical knowledge, skills, capabilities and competencies that are assessed in academic terms as equivalent to GCE AS/A Levels. Key Benefits   Learners can acquire knowledge regarding the various courses offered by the university. This qualification helps the learner to opt for the next level of higher education. It provides a broad introduction to the subject's learner's choice and helps gain valuable academics. The core modules will allow the learners to understand the wider context of their chosen focus area. Learners who complete a foundation course are generally better placed to enter tertiary study and often do so with credits. Key Highlights Are you desirous to know about the scope and current opportunities to improve your skills and knowledge in higher Studies? Then, the OTHM Level 3 Foundation Diploma for Higher Education Studies is the ideal starting point for your career journey. 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, who would 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 3 Foundation Diploma for Higher Education Studies can open many career pathways including, but not limited to: Administrative Assistant, with an estimated average salary of £20,369 per annum Junior manager with an estimated average salary of £30,007 per annum Human resource coordinator, with an estimated average salary of £25,000per annum Customer service executive with an estimated average salary of £23,684 per annum Management trainees with an estimated average salary of £22,046 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. 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. This 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 Learners must be 18 years or more International students whose first language is not in English, they will need to have score of 5.5 or above in IELTS Examination or equivalent. Progression   Learners completing the OTHM Level 3 Foundation Diploma for Higher Education Studies allow progress to : Wide range of undergraduate programmes, including OTHM Level 4 diplomas. 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 projects more effectively, giving 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 achieved with 13 - 36 credits The diploma is achieved with at least 37 credits. The OTHM Level 3 Foundation Diploma for Higher Education Studies consists of 6 mandatory units for a combined total of 120 credits, 1200 hours Total Qualification Time (TQT) and 600 Guided Learning Hours (GLH) for the completed qualification. 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- Academic English and Study Skills Reference No : R/617/3714 Credit : 20 || TQT : 200 The aim of this unit is to help students develop competence in and awareness of academic English and study skills in in preparation for entry to an undergraduate degree programmes. UNIT2- Foundation Mathematics Reference No : Y/617/3715 Credit : 20 || TQT : 200 This unit aims to consolidate learners' knowledge of mathematics and to introduce more topics in the areas of statistical methods and linear algebra. As the business world embraces the use of bigger data in all areas of operation, the mathematical techniques taught in this module will be necessary to aid in the understanding of data, valuable in enhancing future employment prospects. UNIT3- Foundation Computing Reference No : D/617/3716 Credit : 20 || TQT : 200 This unit aims to provide an introduction to computing and the concepts of hardware and its uses. Learners will gain an understanding of data systems and data presentation, key aspects of computer networks and the importance of ethical and legal issues about computing UNIT4- Society and Culture Reference No : H/617/3717 Credit : 20 || TQT : 200 The aim of this unit is to provide students to a variety of contemporary issues related to society and culture, enabling learners to understand social and cultural literacy by developing their knowledge and understanding of societies and cultures UNIT5- Introduction to Business Reference No : K/617/3718 Credit : 20 || TQT : 200 This unit aims to provide learners with knowledge and understanding of how different forms of business ownership operate. It will cover how businesses are run in terms of their form of ownership, the impact of external factors on business success, understanding the different objectives businesses may have, and the key functional areas within a business that enable it to operate effectively. UNIT6- Foundation Accounting and Economics Reference No : M/617/3719 Credit : 20 || TQT : 200 The aim of this unit is to provide learners an introduction to the fundamentals of accounting and economics. Learners will gain an understanding of financial reports through their preparation, based on the double-entry bookkeeping system which is essential for the management of any organization. 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.

Why Choose 3D AutoCAD Basics to Advanced Training Course? Students learn how to create and modify both solid and surface models. This AutoCAD Training course also teaches students how to present their designs in 3D products and designs. Check our Website Duration: 16 hours Approach: 1-on-1, Book your own day and time. We are open Monday to Saturday 9 am to 7 pm.  How to Book this course? Call us on 02077202581 and we will book the dates and times you like. Flexible Schedule: 1-on-1 Face to Face or Live Online. AutoCAD 3D Training: Comprehensive Course Overview Exploration of 3D Modeling and Imaging Generating 3D Drawings Navigating the 3D Modeling Workspace Crafting 3D Shapes using Solid Tools Extruding Polylines into 3D Forms Isolating Coordinates with Point Filters Navigating and Orienting Your Model Achieving Visual Effects Converting 3D Views into 2D AutoCAD Drawings Advanced 3D Techniques Setting Up AutoCAD for 3D Mastering the User Coordinate System Leveraging UCS Options Utilizing Viewports for 3D Drawing Employing Array Tools Crafting Complex 3D Surfaces Constructing Spiral Forms Developing Surface Models Manipulating Objects in 3D Space Rendering and Visualization of 3D Drawings Introduction to Rendering Rapid Rendering Techniques Simulating Sunlight and Shadows Application and Adjustment of Materials Creating Effects with Lights and Materials Texture Mapping and Adjustments Exploration of Rendering Options Enhancing Views with Cameras Printing Rendered Drawings Simulating Natural Lighting Editing and Visualizing 3D Solids Overview of Solid Modeling Creation of Basic and Complex Solids Editing Solid Forms Improving the 2D Drawing Process Visualization and Analysis of Solids Exploration of 3D Mesh and Surface Modeling Introduction to 3D Meshes and Surfaces Creation and Editing of 3D Meshes Crafting Mesh Surfaces Conversion of Meshes to Solids Understanding and Editing 3D Surfaces Customization of Interface and Tools Customization of Workspaces Personalization of the User Interface Creation of Macros in Tools and Menus Working with Expanded Text Boxes Saving and Managing Customizations Exploration of the Diesel Macro Language Designing Custom Linetypes and Hatch Patterns Management and Sharing of Your Drawings Sharing Drawings Online ePublishing Your Work Managing Drawings with DesignCenter and Tool Palettes Exploring the Drawing Library with Content Explorer Establishment of Office Standards Conversion of Layer Settings https://www.autodesk.co.uk  Download a free 30-day trial of AutoCAD Learning outcomes after completing the AutoCAD 3D course. Professional Presentation: Create dynamic walkthroughs and presentations that effectively communicate your 3D models and designs. Certification: Obtain a certification as proof of your proficiency in AutoCAD 3D modeling, validating your skills in the industry. Mastery of 3D Modeling: Possess comprehensive skills, from fundamental concepts to advanced techniques in 3D modeling. Enhanced Career Prospects: Improve your career opportunities and prospects in various design-related fields such as architecture, engineering, and product design. Realistic Rendering: Be able to create highly realistic visualizations that enhance the quality of your designs. Practical Hands-On Experience: Gain practical experience and confidence in 3D modeling through extensive hands-on practice. Personalized Learning: Benefit from one-on-one attention and tailored training to meet your specific learning needs and pace. Lifetime Email Support: Continue to receive assistance and guidance through lifetime email support, ensuring you are supported even after completing the course. 3D AutoCAD Training Courses Gain confidence and proficiency in AutoCAD. Discover the fundamentals of 3D modeling and object creation in this introductory AutoCAD 3D course. Booking Your Training Course: Experience personalized training with our adaptable 1-on-1 sessions. You have the freedom to customize your schedule by reserving a convenient hour at your discretion. Our booking slots are available from Monday to Saturday, spanning from 9 a.m. to 7 p.m. You can also reach us at 02077202581 to make a booking over the phone. Course Duration: 10 hours "You have the flexibility to divide these 10 hours across multiple days to suit your ideal schedule." Training Method: 1-on-1 (In-person face-to-face or Live Online) Expect personalized attention, tailor-made content, a flexible learning pace, and dedicated individual support throughout your training journey. This hands-on course provides ample opportunities to experiment with newly acquired techniques and seek answers to your questions. Key Features: An introductory course tailored to AutoCAD 3D's essential features. Abundant one-on-one guidance and dedicated question time. Friendly expert trainers, small class sizes, and a comfortable learning environment. Comprehensive course materials and additional resources. Ongoing support and assistance with post-course challenges. What Will You Learn? This course will equip you with the foundational knowledge and workflows necessary to create 3D models within AutoCAD 3D. You will delve into the creation and modification of both solid and surface models. Upon completion, you will be able to: Effortlessly fashion intricate shapes by combining simple elements. Precisely extract geometries and dimensions from your creations. Easily customize the view and presentation style of your objects. Is This Course Right for You? No prior experience with AutoCAD 3D is required. This course caters to individuals proficient in working with 2D objects who aspire to construct 3D models of their designs. Gain proficiency in the fundamental tools and functionalities to create precise and professional 2D and 3D drawings, advancing to more complex techniques. Enhanced Efficiency: Discover time-saving strategies, tips, and workflows that will boost your productivity and streamline your design process within AutoCAD 3D. Versatility in Design: Develop the skills needed to undertake a wide range of projects, from architectural plans and engineering drawings to mechanical components and electrical schematics. Industry-Recognized Expertise: Cultivate in-demand skills relevant to architecture, engineering, construction, and manufacturing, paving the way for career advancement and professional development. Accessible Lesson Recordings: Access recorded lessons at your convenience to review and reinforce course material whenever necessary. Continuous Email Support: Benefit from ongoing assistance with lifetime email support, ensuring you have access to guidance, answers, and clarifications even beyond the completion of the course.

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.

This 2 x 2.5 hour workshop is for healthcare managers & leaders that want to explore staff retention, how it is effecting their organisation, and consider what they can do to improve.

Implement and manage a compliance framework to protect personal data using GDPR Foundation training.

This course will enable you as a professional to execute secure coding practices, identify vulnerabilities in the code, remediate identified weaknesses, design with security in mind, and build effective security controls to protect against breaches and malicious hackers.

Royal College of Chiropractors and First Aid for Life specialist chiropractor first aid course covering specific medical emergencies in a chiropractic setting (3 hours verifiable CPD) This RCC first Aid and 3 hours verifiable CPD for chiropractors course is a specialist first aid course covering specific medical emergencies in a chiropractic setting. Including topics such as recognising a stroke or pneumothorax, fainting (syncope), head injuries, diabetes and hypoglycaemia, managing spinal injuries in an emergency situation and much more. The course consists of illustrated step by step directions, flow charts, diagrams, videos and test yourself sections fully compatible with all computers and mobile devices. You will be able to stop and start as often as you like and print your Certificate on completion. The RCC first Aid and 3 hours verifiable CPD for chiropractors course is equivalent to 3 hours of verifiable CPD and you will have continuous access to the course for 12 months. This course fulfils the criteria for Appointed Person first aid training, however a more comprehensive practical course is required in order to be a full First Aider. This training does not seek to replace a practical first aid course and practical training is strongly recommended in order to prepare fully for medical emergencies and to experience the force required for CPR and learn exactly how to roll someone into the recovery position and other practical skills.  It is impossible to cover all eventualities within this course, or to equip you with the knowledge and skills to appropriately diagnose and treat in unpredictable real life situations. If you suspect serious illness or injury, you should always seek immediate professional medical advice. The author has made every effort to ensure the accuracy of the information contained within the course, however this course is merely a guide and the author does not accept any liability or responsibility for any inaccuracies or for any mistreatment or misdiagnosis of any person, however caused. The course material has been written by Emma Hammett, qualified nurse, first aid trainer and founder of First Aid for Life in conjunction with other medical and first aid professionals. If you have any queries concerning this course, please contact emma@firstaidforlife.org.uk Course contents: Action in an emergency Keep yourself safe Priorities of Treatment Preparing for an emergency Helpful information What to put in your First Aid kit Information to give the Emergency Services Role of the First Aider The Primary Survey – How to help in an Emergency Danger Response Airway Breathing Chest Wounds Collapsed Lung or a sucking chest wound Flail Chest Fainting Head Injuries What to look for and what to do Suspected brain injury Compression and concussion Skull Fracture Strokes and Trans Ischaemic Attacks Spinal Injuries Log rolling someone into recovery position Diabetic emergencies Useful advice Final Lesson & quiz

ICA Specialist Certificate Series ICA Certificate courses have been developed to meet the needs of people like you; regulatory or financial crime professionals working in a highly challenging, demanding and ever-changing environment. This is a series of short courses from which you can choose those that are relevant to your job role and aspirations, to enhance your knowledge. The courses available in this series are as follows:- ICA Specialist Certificate in Anti Corruption ICA Specialist Certificate in Combating the Financing of Terrorism ICA Specialist Certificate in Money Laundering Risk in Betting and Gaming ICA Specialist Certificate in Trade Based Money Laundering ICA Specialist Certificate in Financial Crime Risk in Global Banking and Markets ICA Specialist Certificate in Money Laundering Risk in Correspondent Banking ICA Specialist Certificate in Money Laundering Risk in Private Banking ICA Specialist Certificate in Financial Crime Risk in Mobile Financial Services ICA Specialist Certificate in Conduct Risk ICA Specialist Certificate in Anti Money Laundering and Art ICA Specialist Certificates, awarded in association with Alliance Manchester Business School, the University of Manchester, will help you quickly gain actionable knowledge to boost your confidence and credibility. There are many benefits of studying with ICA: Flexible learning solutions that are suited to you Our learner-centric approach means that you will gain relevant practical and academic skills and knowledge that can be used in your current role Improve your career options by undertaking a globally recognised qualification that hiring managers look for as part of their hiring criteria Many students have stated that they have received a promotion and/or pay rise as a direct result of gaining their qualification The qualifications ensure that you are enabled to develop strategies to help manage and prevent risk within your firm, thus making you an invaluable asset within the current climate Training materials are delivered online and will include the course materials, self-assessment questions and recorded webinars. These courses are assessed by a one hour timed multiple choice assessment. For more detailed information about the content of these courses use the Request Information button and let us know which of the series you are interested in.

3ds Max and Vray Training 1-2-1