The Proactive Safeguarding Practitioner (Adults) Spanning 6 weeks, this course is designed to be interactive and fun, with minimal time spent on legislation and maximum time getting to the detail of why effective safeguarding must focus on being proactive and prophylactic to the warning signs of safety NOT responsive and reactionary after an event! Delivered across 6 weeks through a mix of: Pre-course preparation (2 weeks before first Zoom session) 2 x 5 hour Zoom sessions (2 weeks apart) PLEASE NOTE, BOOKING OPTIONS SHOWN, ARE DATE OF FIRST ZOOM Post zoom course work and final coursework submissions Approximately 20 hours total Anticipated learning objectives: Delegates will have a strengthened understanding of, obtained through worked examples of real case studies: 1. The importance of good complaint management 2. When a complaint should be escalated to a safeguarding 3. The difference between a quality concern and a safeguarding 4. Red flags to raising a safeguarding alert 5. What proactive practice looks like and why this is vital to better quality and safer service delivery 6. Understanding the onus on providers in better managing issues including safety incidents
Identity, Access, and Authentication with Microsoft AD and Identity with Windows Server 2016 (70-742) Exam Prep
Training duration: 10 hrs Course info Method: 1-2-1, Personalized attention, Tailored content, Flexible pace, Individual support. Schedule: Personalized training experience with our flexible 1-2-1 sessions. Tailor your own schedule by pre-booking a convenient hour of your choice, available from Monday to Saturday between 9 am and 7 pm. Unlock visual effects and motion graphics skills with our 3ds Max and After Effects Course. Certified tutors guide you through seamless integration of 3D models and animations. Live online format, recorded lessons, and lifetime email support provided. Enroll now and explore exciting career opportunities in visual effects, animation, and motion graphics. Course Outline: Adobe After Effects Fundamentals. Getting Started Overview of the workspace and interface. Importing and organizing assets for seamless workflow. Understanding projects and compositions for effective project management. Working with layers to create complex compositions. Applying Effects (FX) Introduction to applying effects in After Effects. Fixed and applied FX for enhancing visual appeal. Understanding animation principles for smooth motion. Modifying motion paths to control animation trajectories. Mastering keyframes for precise animation control. Exploring the basics of the graph editor for advanced animation adjustments. Text Animation Creating and animating text in After Effects. Enhancing text with layer styles for engaging visuals. Utilizing animation options for dynamic text effects. Implementing motion blur for realistic motion. Shape Layers Introduction to shape layers and their versatility. Creating shapes from Illustrator files for flexible designs. Working with paths and their applications in animations. Utilizing animation options to breathe life into shapes. Exporting and Finalizing Projects Effective project management and organization techniques. Understanding export options for optimal rendering. Exporting projects through Media Encoder for various platforms. Utilizing dynamic link to Premiere Pro for seamless integration. Masks and Chroma-keying Creating and animating masks for selective visual effects. Utilizing tracking masks for precise adjustments. Limiting effects to specific areas using track mattes and property links. Mastering green-screen chroma-keying with Keylight 1.2. Additional Effects Exploring additional effects such as Warp Stabilizer, Camera Tracker, Motion Tracker, and Puppet Pin tool. Implementing these effects to enhance motion graphics and visual effects. Creative applications and hands-on practice with each effect. By the end of this fast-paced and practical Adobe After Effects training course, participants will achieve the following learning outcomes: Key Skills in After Effects: Gain proficiency in essential After Effects skills to transform video projects effectively. Professional Techniques: Master a range of professional techniques and processes invaluable for film makers, motion designers, and animators. Project Planning: Learn how to plan projects, prepare assets, and set compositions for seamless video production. Animation and Effects: Acquire the ability to apply and animate various transformations and effects on images, videos, and text elements. Masking and Compositing: Develop skills in masking and compositing to create visually stunning and cohesive compositions. Rendering Videos: Understand the video rendering process to produce high-quality final outputs.
***24 Hour Limited Time Flash Sale*** UK Insurance Diploma Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Are you passionate about finance and intrigued by the UK insurance industry? The UK boasts a thriving insurance sector, contributing significantly to its economy and employing over 300,000 individuals. But do you have the necessary knowledge and skills to navigate this dynamic field? This UK Insurance (General, Commercial, Liability, Life) Diploma bundle addresses that need, equipping you with the expertise to launch or advance your career in UK insurance. Our UK Insurance (General, Commercial, Liability, Life) Diploma bundle empowers you to become an insurance expert in the UK. Master insurance agent training, navigate UK tax complexities, and excel in financial advising, management, and investigation. Gain specialised knowledge in pensions, mortgages, financial crime, and anti-money laundering. Sharpen your accounting skills with industry-standard software. Build a strong foundation for a successful career in the dynamic UK insurance industry. But that's not all. When you enrol in UK Insurance Diploma Online Training, you'll receive 25 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free. Courses Are Included In this UK Insurance Diploma Career Bundle: Course 01: UK Insurance Diploma Course 02: UK Tax Accounting Course 03: Financial Advisor Course 04: Financial Management Course 05: Financial Investigator Course 06: Pension UK Course 07: Investment Banking Course 08: Mortgage Adviser Course Course 09: Financial Crime Consultant Course 10: Anti-Money Laundering (AML) Course 11: Sage 50 Accounts Course 12: Xero Accounting - Complete Training Course 13: QuickBooks Online Bookkeeping Diploma Course 14: Financial Accounting Course 15: Financial Analysis Course Course 16: Accountancy Course 17: Banking and Finance Accounting Statements Financial Analysis Course 18: Business Law Course 19: Improve your Financial Intelligence Course 20: Corporate Finance: Profitability in a Financial Downturn Course 21: Corporate Paralegal Course 22: Negotiation Skills Certificate Course 23: Document Control Course 24: Compliance and Risk Management Course 25: Financial Consultant Training: Financial Advisor With UK Insurance Diploma, you'll embark on an immersive learning experience that combines interactive lessons with voice-over audio, ensuring that you can learn from anywhere in the world, at your own pace. And with 24/7 tutor support, you'll never feel alone in your journey, whether you're a seasoned professional or a beginner. Learning Outcomes of UK Insurance Diploma Master the essentials of UK insurance regulations and practices. Develop advanced financial management and analysis skills. Gain expertise in specialized areas like pensions, mortgages, and financial crime. Enhance your accounting proficiency with industry-standard software. Understand and apply anti-money laundering regulations effectively. Build a strong foundation for a rewarding career in UK insurance. Don't let this opportunity pass you by. Enrol in the UK Insurance Diploma today and take the first step towards achieving your goals and dreams. Why Choose Us? Get a Free CPD Accredited Certificate upon completion of UK Insurance Diploma Get a free student ID card with UK Insurance Diploma Training program (£10 postal charge will be applicable for international delivery) The UK Insurance Diploma is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the UK Insurance Diploma course materials The UK Insurance Diploma comes with 24/7 tutor support Start your learning journey straightaway! *** Course Curriculum *** Course 01: UK Insurance Diploma Module 01: Definition Of Insurance Module 02: An Overview Of The Insurance Industry In The UK Module 03: Basics Of Insurance Module 04: Principles And Practices Of Insurance Module 05: Insurance Contract: Elements And Clauses Of Insurance Contract Module 06: Home Insurance Module 07: Life And Health Insurance Module 08: Business Insurance Module 09: Vehicle Insurance Module 10: Human Behaviour In Insurance Module 11: Essential Skills For The Insurance Account Manager And Broker Module 12: Underwriting Essentials Module 13: Insurance Fraud Course 02: UK Tax Accounting Module 01: Introduction To Accounting Module 02: Income Statement And Balance Sheet Module 03: Tax System And Administration In The UK Module 04: Tax On Individuals Module 05: National Insurance Module 06: How To Submit A Self-Assessment Tax Return Module 07: Fundamentals Of Income Tax Module 08: Payee, Payroll And Wages Module 09: Value Added Tax Module 10: Corporation Tax Module 11: Double Entry Accounting Module 12: Career As A Tax Accountant In The UK Course 03: Financial Advisor Module 01: Introduction To Finance Module 02: Essential Skill For Financial Advisor Module 03: Financial Planning Module 04: Wealth Management And Guide To Make Personal Financial Statements Module 05: Financial Risk Management And Assessment Module 06: Investment Planning Module 07: Divorce Planning Module 08: Google Analytics For Financial Advisors =========>>>>> And 22 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*25 = £325) CPD Hard Copy Certificate: £29.99 CPD 250 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: Insurance Sales Aspirants Financial Advisors Business Owners Risk Managers Consumers Requirements You will not need any prior background or expertise to enrol in this bundle. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Insurance Broker Underwriter Claims Adjuster Risk Analyst Financial Planner Agent Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.
An introduction to data protection and the GDPR, explaining all the main requirements.
***24 Hour Limited Time Flash Sale*** Certificate in Construction Health and Safety Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Are you a professional feeling stuck in your career, struggling to keep up with the ever-changing demands of the industry? Or perhaps you're a beginner, unsure of where to start or how to break into your desired field. Whichever stage you're in, our exclusive Certificate in Construction Health and Safety Bundle provides unique insights and tools that can help you achieve your goals. Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Certificate in Construction Health and Safety bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. Whether you're looking to advance in your current role or embark on a new career journey, this bundle has everything you need to take your professional life to the next level. But that's not all. When you enrol in Certificate in Construction Health and Safety Online Training, you'll receive 30 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free. Courses Are Included In this Certificate in Construction Health and Safety Career Bundle: Course 01: Construction Management Course 02: Construction Site Planning and Management Course 03: Construction Cost Estimation Diploma Course 04: Construction Safety Diploma Course 05: Construction Industry Scheme (CIS) Course 06: Quantity Surveyor Training Course 07: Building Surveyor Course 08: Land Surveying Course 09: Property Development Diploma Course 10: Cost Control and Management Training Course 11: Property Management Training Course 12: Lone Worker Safety Diploma Course 13: Building Design And Construction With LEED V4.1 Course 14: Ladder Safety Training Course 15: Working at Height Course 16: Public Housing Management Course 17: RIDDOR Training Course 18: AutoCAD Programming using C# with Windows Forms Course 19: Property Law Course 20: Workplace Management Training Course 21: Residential Property Sales Course 22: AutoCAD VBA Programming for Beginners Course 23: Property Business Training - Level 5 Course 24: Leadership Styles Course 25: WELL Building Standard Course 26: LOLER Training Level 2 Course 27: COSHH Training for Assessors Course 28: Workplace First Aid Level 3 Course 29: Effective Communication Skills for Technical People Course 30: Positive Workplace Environment With a Certificate in Construction Health and Safety, you'll embark on an immersive learning experience that combines interactive lessons with voice-over audio, ensuring that you can learn from anywhere in the world, at your own pace. 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The certificate in Construction Health and Safety premium bundle consists of 30 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of the Certificate in Construction Health and Safety is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience. Certification You have to complete the assignment given at the end of the Certificate in Construction Health and Safety course. After passing the Certificate in Construction Health and Safety exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Certificate in Construction Health and Safety course is ideal for: Students seeking mastery in Certificate in Construction Health and Safety Professionals seeking to enhance their Certificate in Construction Health and Safety skills Individuals looking for a Certificate in Construction Health and Safety-related career. Anyone passionate about a Certificate in Construction Health and Safety Requirements This Certificate in Construction Health and Safety doesn't require prior experience and is suitable for diverse learners. Career path This Certificate in Construction Health and Safety bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates CPD Accredited Digital certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge. CPD Accredited Hard copy certificate Digital certificate - Included
***24 Hour Limited Time Flash Sale*** Growing Business with Proper Branding Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Are you a professional feeling stuck in your career, struggling to keep up with the ever-changing demands of the industry? Or perhaps you're a beginner, unsure of where to start or how to break into your desired field. Whichever stage you're in, our exclusive Growing Business with Proper Branding Bundle provides unique insights and tools that can help you achieve your goals. Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Growing Business with Proper Branding bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. 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Each segment of Growing Business with Proper Branding is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience. Certification You have to complete the assignment given at the end of the Growing Business with Proper Branding course. After passing the Growing Business with Proper Branding exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Growing Business with Proper Branding course is ideal for: Students seeking mastery in Growing Business with Proper Branding Professionals seeking to enhance Growing Business with Proper Branding skills Individuals looking for a Growing Business with Proper Branding-related career. 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Description Introduction to Payroll Systems Diploma Payroll is the procedure by which employers reimburse the employee for the amount of work that he or she has done. Though payroll seems like everyday duty, there are many complicated aspects including, taxes and maintaining accuracy that needs to be performed with utmost caution. Software on the payroll system helps manage the long list of data with exactness and perform the calculation without minimum error. A specialised course in payroll systems is important for those who are entrusted with managing intricate processing systems. The course provides detailed information about the system and how to deal with the various unique situations that occur within the payroll system. This course will allow the learners to generate reports on payroll functions that are necessary to undertake numerous supervisory and management tasks. Learners are also exposed to leave accrual and hiring and separation policies. The course aims to provide primary knowledge and understanding of processes involving basic calculations and the preparation of payroll. Learners will also acquire knowledge about payroll processes, procedures and the skills required in undertaking routine as well as some special tasks. The course will also help the learner identify employees' pay differentiation and entitlements. It will enable them to make calculations in relation to gross and net pay. They will also be able to comprehend the necessity of accuracy and security while performing jobs related to payroll. This course will give the learners an opportunity to produce academic validation for their skills and knowledge in order to display their abilities to employers and secure a position. It will empower the takers with all the necessary know-how to be efficient workers in the area. This course enables the learner to process all types of calculations leading to the final net wages figure following all legal and organisational formalities and confidentialities. What You Will Learn 1: INTRODUCTION AND STARTERS AND LEAVERS - MANUAL SYSTEM 2: GROSS PAY AND STATUTORY PAY 3: THE PAYE REGIME AND THE NIC REGIME 4: STATUTORY AND VOLUNTARY DEDUCTIONS AND NET PAY 5: PAYSLIPS 6: RTI AND THE PAYROLL SYSTEM AND WORKING THE COMPUTERISED PAYROLL SYSTEM Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.
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.
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