ICA Advanced Certificate in Managing Sanctions Risk Sanctions are a key tool in the armoury of the global fight against financial crime. Understanding sanctions remains a complex yet fascinating topic and is crucial for the development of well-rounded strategy in combating financial crime. The ICA Advanced Certificate in Managing Sanctions Risk explores the intricacies and challenges of meeting sanctions obligations. You will learn about the latest sanctions challenges and best practice and you will review case studies so you understand the risks sanctions present to firms and the frameworks used to manage these risks. The course will also investigate key areas of sanctions controls such as sanctions screening, managing alerts and sanctions evasion typologies. This course will enable you to: Understand latest sanctions challenges Learn sanctions best practice Review case studies, so you understand the risks sanctions present to firms and the frameworks used to manage these risks Investigate key areas of sanctions controls such as sanctions screening, managing alerts and sanctions evasion typologies. 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 This course is awarded in association with Alliance Manchester Business School, the University of Manchester. Students who successfully complete the assessment criteria for this course will be awarded the ICA Advanced Certificate in Managing Sanctions Risk and will be able to use designation - (Adv.Cert(Sanctions). What will you learn? Global sanctions architecture - Political, Legal and Implementation context The international context Transparency, control and ownership Developing the control framework Sanctions lifting and roll back Identifying higher risk jurisdictions and activities
The objective of the OTHM Level 3 Foundation Diploma for Higher Education Studies is to provide learners with a foundation to provide an entry route to UK and international university courses. It is designed to ensure that each learner is equipped with knowledge of study skills, mathematics, computing, society and culture, business and accounting, providing the knowledge and skills to adapt rapidly to change and progress with their learning. Successful completion of the Level 3 Foundation Diploma for Higher Education Studies provides learners with the opportunity to progress to further study or employment. Program Overview Key Highlights Program Duration: 9 Months (Can be fast tracked) Program Credits: 120 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Direct entry into Year 1 of a three-year UK Bachelor's degree LSBR Alumni Status No Cost EMI Option Top Skills You Will Learn The programme ensure that each learner is equipped with knowledge of study skills, mathematics, computing, society and culture, business and accounting, providing the knowledge and skills to adapt rapidly to change and progress with their learning. Who is this course for? Working Professionals, O-Level holders, professionals working in Education and Training Institutions, Human resource consultants
he objective of the OTHM Level 3 Foundation Diploma in Accountancy is to provide learners with a foundation for a career in a range of organisations in relation to financial management and accountancy. It is designed to ensure that each learner is equipped with knowledge of accountancy, and the skills to adapt rapidly to change and progress with their learning. Successful completion of the Level 3 Foundation Diploma in Accountancy provides learners with the opportunity to progress to further study or employment. Program Overview Key Highlights Program Duration: 6 Months (Can be fast tracked) Program Credits: 60 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Direct entry into Year 1 of a three-year UK Bachelor's degree LSBR Alumni Status No Cost EMI Option Top Skills You Will Learn The programme provide learners with a foundation for a career in a range of organisations in relation to financial management and accountancy. You would get equipped with knowledge of accountancy, and the skills to adapt rapidly to change and progress with your learning. Who is this course for? Working Professionals, O-Level holders, professionals working in range of industries looking for a career in finance and accountancy
Do you want to master the essential mathematical skills for data science and machine learning? Do you want to learn how to apply statistics and probability to real-world problems and scenarios? If yes, then this course is for you! In this course, you will learn the advanced concepts and techniques of statistics and probability that are widely used in data science and machine learning. You will learn how to describe and analyse data using descriptive statistics, distributions, and probability theory. You will also learn how to perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data. You will gain hands-on experience with practical exercises and projects using Python and R. Learning Outcomes By the end of this course, you will be able to: Apply descriptive statistics, distributions, and probability theory to summarise and visualise data Perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data Use Python and R to implement statistical and machine learning methods Interpret and communicate the results of your analysis using appropriate metrics and visualisations Solve real-world problems and scenarios using statistics and probability Why choose this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course for? This course is for anyone who wants to learn the advanced concepts and techniques of statistics and probability for data science and machine learning. This course is suitable for: Data scientists, machine learning engineers, and analysts who want to enhance their skills and knowledge Students and researchers who want to learn the mathematical foundations of data science and machine learning Professionals and managers who want to understand and apply data-driven decision making Hobbyists and enthusiasts who want to explore and learn from data Anyone who loves statistics and probability and wants to challenge themselves Career path Data Scientist (£35,000 - £55,000) Machine Learning Engineer (£40,000 - £60,000) Statistician (£35,000 - £55,000) Data Analyst (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Data Analyst (£50,000 - £70,000) Prerequisites This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Section 01: Let's get started Welcome! 00:02:00 What will you learn in this course? 00:06:00 How can you get the most out of it? 00:06:00 Section 02: Descriptive statistics Intro 00:03:00 Mean 00:06:00 Median 00:05:00 Mode 00:04:00 Mean or Median? 00:08:00 Skewness 00:08:00 Practice: Skewness 00:01:00 Solution: Skewness 00:03:00 Range & IQR 00:10:00 Sample vs. Population 00:05:00 Variance & Standard deviation 00:11:00 Impact of Scaling & Shifting 00:19:00 Statistical moments 00:06:00 Section 03: Distributions What is a distribution? 00:10:00 Normal distribution 00:09:00 Z-Scores 00:13:00 Practice: Normal distribution 00:04:00 Solution: Normal distribution 00:07:00 Section 04: Probability theory Intro 00:01:00 Probability Basics 00:10:00 Calculating simple Probabilities 00:05:00 Practice: Simple Probabilities 00:01:00 Quick solution: Simple Probabilities 00:01:00 Detailed solution: Simple Probabilities 00:06:00 Rule of addition 00:13:00 Practice: Rule of addition 00:02:00 Quick solution: Rule of addition 00:01:00 Detailed solution: Rule of addition 00:07:00 Rule of multiplication 00:11:00 Practice: Rule of multiplication 00:01:00 Solution: Rule of multiplication 00:03:00 Bayes Theorem 00:10:00 Bayes Theorem - Practical example 00:07:00 Expected value 00:11:00 Practice: Expected value 00:01:00 Solution: Expected value 00:03:00 Law of Large Numbers 00:08:00 Central Limit Theorem - Theory 00:10:00 Central Limit Theorem - Intuition 00:08:00 Central Limit Theorem - Challenge 00:11:00 Central Limit Theorem - Exercise 00:02:00 Central Limit Theorem - Solution 00:14:00 Binomial distribution 00:16:00 Poisson distribution 00:17:00 Real life problems 00:15:00 Section 05: Hypothesis testing Intro 00:01:00 What is a hypothesis? 00:19:00 Significance level and p-value 00:06:00 Type I and Type II errors 00:05:00 Confidence intervals and margin of error 00:15:00 Excursion: Calculating sample size & power 00:11:00 Performing the hypothesis test 00:20:00 Practice: Hypothesis test 00:01:00 Solution: Hypothesis test 00:06:00 T-test and t-distribution 00:13:00 Proportion testing 00:10:00 Important p-z pairs 00:08:00 Section 06: Regressions Intro 00:02:00 Linear Regression 00:11:00 Correlation coefficient 00:10:00 Practice: Correlation 00:02:00 Solution: Correlation 00:08:00 Practice: Linear Regression 00:01:00 Solution: Linear Regression 00:07:00 Residual, MSE & MAE 00:08:00 Practice: MSE & MAE 00:01:00 Solution: MSE & MAE 00:03:00 Coefficient of determination 00:12:00 Root Mean Square Error 00:06:00 Practice: RMSE 00:01:00 Solution: RMSE 00:02:00 Section 07: Advanced regression & machine learning algorithms Multiple Linear Regression 00:16:00 Overfitting 00:05:00 Polynomial Regression 00:13:00 Logistic Regression 00:09:00 Decision Trees 00:21:00 Regression Trees 00:14:00 Random Forests 00:13:00 Dealing with missing data 00:10:00 Section 08: ANOVA (Analysis of Variance) ANOVA - Basics & Assumptions 00:06:00 One-way ANOVA 00:12:00 F-Distribution 00:10:00 Two-way ANOVA - Sum of Squares 00:16:00 Two-way ANOVA - F-ratio & conclusions 00:11:00 Section 09: Wrap up Wrap up 00:01:00 Assignment Assignment - Statistics & Probability for Data Science & Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00
The objective of the OTHM Level 3 Diploma in Education and Training qualification is to develop learners' understanding of theory and practice in education. It provides learners with an opportunity to engage with the issues and challenges facing professionals and in their own country. The units will provide knowledge that underpins the ability to work as an effective practitioner in the education sector. They combine both theoretical and practical knowledge in the education profession and will develop and enhance knowledge and skills in the areas of approaches to teaching and learning, developing resources and reflective practice. Program Overview Key Highlights Program Duration: 9 Months (Can be fast-tracked) Program Credits: 120 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Direct entry into Year 1 of a three-year UK Bachelor's degree LSBR Alumni Status No Cost EMI Option Top Skills You Will Learn Develop learners' understanding of theory and practice in education. Will train you to work as an effective practitioner in the education sector. It further develop and enhance knowledge and skills in the areas of teaching and learning, developing resources and reflective practice. Who is this course for? Working Professionals, O-Level holders, professionals working in Education and Training Institutions, Human resource consultants
Getting Started The OTHM Level 4 Diploma in Accounting and Business aims to include fundamental business accounting and financial management expertise. This allows the learner to develop the skills required to boost company growth regarding budgets and cash flows. This qualification is intended to help accountants advance their careers. After completing this course, the learner can qualify for the next level. The qualification awarded by OTHM at RQF Level 3 represents practical knowledge, skills, capabilities, and competencies that are assessed in academic terms as equivalent to GCE AS/A Levels. Key Benefits The qualification will benefit learners to: The interface between the general economic environment and business activity. Understand and apply the principles of financial accounting in a business setting. Develop quantitative skills to apply business concepts in accounting, finance, and human resource management. Understand the functions of management accounting in business. Completing the OTHM Level 4 Diploma in Accounting and Business provides learners with the opportunity for a wide range of academic progressions, including progression to relevant OTHM Level 5 Diplomas. Ofqual (Office of the Qualifications and Examinations Regulation) approves and regulates the qualification. Key Highlights Do you wish to place yourself in a career in accounting that adapts to business? Then, the OTHM Level 4 Diploma in Accounting and Business is the ideal starting point for your career journey. The qualification gives learners an understanding of accounting and business in the broader business context. It offers industry-focused skills to manage business finances, budgets and cash flow effectively, thereby playing a vital role in the growth of the business. 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 4 Diploma in Accounting and Business can open many career pathways including, but not limited to: Junior Accountant with an estimated average salary of £26,308 per annum Accounting Officer with an estimated average salary of £29,048 per annum Accounting Clerk, with an estimated average salary of £32,073 per annum Accounting secretary with an estimated average salary of £24,107 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 old or older. Relevant NQF/QCF/RQF Level 3 Award/Diploma or at the level of GCE/GCSE or equivalent qualification Learners over 21 with relevant management experience International students whose first language is not English must score 5.5 or above in the IELTS Examination or equivalent. Progression Learners completing the OTHM Level 4 Diploma in Accounting and Business will progress to: Wide range of academic progressions, including the Level 5 Diploma in Accounting and Business qualification. Progression to career development. 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 learning and grow key competencies to tackle situations and work on projects more effectively, which will, in turn, give learners the potential to get promotions within the workplace. Alternatively, it allows them to progress onto an MBA top-up/Bachelor's degree / Master's degree programme around the World. Flexible study options- All OTHM qualifications have a credit value, which tells you how many credits are awarded when a unit is completed. The credit value will indicate how long it will normally take you to prepare for a unit or qualification. Three different types of qualification are: The award is achieved with 1 - 12 credits The certificate is completed with 13 - 36 credits The diploma is completed with at least 37 credits The OTHM Level 4 Diploma in Accounting and Business consists of 6 mandatory units for a combined total of 120 credits, 1200 hours Total Qualification Time (TQT) and 480 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- The Accountant's Environment Reference No : R/617/3292 Credit : 20 || TQT : 200 The aim of this unit is to familiarise learners with the accountant's environment in relation to different organisation structures, environmental factors, professional ethics and regulation. UNIT2- Quantitative Methods Reference No : L/617/3291 Credit : 20 || TQT : 200 The aim of the unit is to develop learners' skills in using quantitative methods including representing information to inform decision making in an organisation, and using statistical methods to provide meaningful financial and accounting information, applying these skills to a real world case study. UNIT3- Financial Accounting Reference No : J/617/3290 Credit : 20 || TQT : 200 The aim of this unit is for the learner to develop their skills in financial accounting, including value inventory, year-end adjustments, and final accounts, applying these to real world case studies. UNIT4- Management Accounting Reference No : R/617/3289 Credit : 20 || TQT : 200 The aim of the unit is for learners to develop their skills in management accounting, including preparation of budgets, costing, capital expenditure appraisal, and to apply these skills to a real world case or case study UNIT5- Management Concepts and Practice Reference No : L/617/3288 Credit : 20 || TQT : 200 The aims of the unit are to provide learners with a thorough grounding in theories of leadership and management, and specifically the dynamics of motivation and team work as applied to teams and organisations. UNIT6- Business Economics Reference No : J/617/3287 Credit : 20 || TQT : 200 The aim of the unit is for learners to understand the macro- and micro-economic factors that impact on businesses and the international environment as a whole. 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.