9712 Courses in Cardiff delivered On Demand

Do you know that the financial industry in the UK is a powerhouse, contributing over £132 billion to the country's economy each year? In recent news, the UK financial industry has witnessed a surge in demand for professionals with expertise in financial engineering. With technological advancements, changing regulations, and the rise of digital finance, there is a pressing need for individuals skilled in financial analysis, business finance, FinTech, investment strategies, statistics, economics, blockchain, and financial modelling. This growing demand presents a unique opportunity for learners like you to seize the exciting prospects in this thriving financial engineering industry. By enrolling in our bundle of 8 online courses in financial engineering, you can stay ahead of the curve and position yourself as a sought-after professional in the finance sector. With a comprehensive understanding of key concepts and cutting-edge technologies, you will be equipped to navigate the industry's complexities and make informed decisions that drive financial success. CPD Quality Standards Courses: Course 01: Financial Analysis Course 02: Investment Course 03: FinTech Course 04: Business and Data Analytics for Beginners Course 05: Statistics Course 06: Economics Course 07: Blockchain & Cryptocurrency Course 08: Business and Financial Modeling Specialisation Learning Outcomes: Develop a strong foundation in financial analysis, business finance, statistics, and economics, enabling you to make informed decisions based on data-driven insights. Gain an understanding of emerging technologies like FinTech and blockchain and their impact on the finance industry. Acquire investment strategies and portfolio management skills to optimise decision-making and achieve long-term financial growth. Learn business and financial modelling principles, constructing accurate models to assess business performance and evaluate investment opportunities. Explore the world of cryptocurrencies and understand the underlying concepts of blockchain, unlocking new possibilities in the financial landscape. Master the art of financial engineering, equipping yourself with the knowledge and skills to thrive in the dynamic and lucrative finance industry. The world of finance is changing rapidly. New technologies are emerging, and how we invest and manage our money constantly evolves. If you want to stay ahead of the curve, you need to understand the fundamentals of financial engineering. In the first course, Financial Analysis, you'll delve into the intricacies of interpreting financial statements, assessing profitability, and evaluating investment opportunities. Gain the expertise to make informed decisions based on financial data, positioning yourself as a trusted financial analyst. Embrace the digital revolution in finance with our FinTech course. Explore how technology is reshaping the industry, from digital banking and payment systems to automated investment platforms. Gain insights into the innovative possibilities and stay ahead of the curve in this dynamic financial engineering field. Unlock the secrets of successful investment strategies in our Investment Strategies course. Learn to evaluate risks, assess asset valuation, and construct diversified portfolios. Develop a strategic approach to investment decision-making and position yourself as a skilled investment manager through this financial engineering bundle. Expand your horizons with a deep understanding of statistics, economics, blockchain, and financial modelling. Gain proficiency in statistical analysis, leverage economic principles to navigate financial markets, explore the disruptive potential of blockchain technology, and master the art of financial modelling to evaluate business performance and assess investment prospects accurately. Take advantage of this chance to acquire in-demand skills and stay ahead of the curve in the finance industry. Enrol now and embark on your journey towards mastering the intricacies of financial engineering. Your future in finance starts here! CPD 80 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course will be especially helpful for the following: Recent graduates who want to pursue a career in financial engineering Working professionals who wish to advance their careers in the financial industry Entrepreneurs who want to understand the financial implications of their business decisions and financial engineering Anyone who wants to learn more about the financial markets and how they work Anyone interested in learning about financial engineering Requirements Our Financial Engineering course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Some of the career paths related to this field are: Financial Engineer Financial Consultant Investment banking Insurance Consulting Quantitative analysis Risk management Financial modelling Salary Range Entry-level: £30,000 - £40,000 Mid-level: £40,000 - £60,000 Senior-level: £60,000 - £100,000

Stepping into the realm of payroll, our 'Diploma in Payroll (UK Payroll System, Payee, Tax, NI, Pension) at QLS Level 5' course offers an all-encompassing journey. Delve deep into the UK's meticulous payroll system, spanning from its foundational basics to the intricate legislation settings and the crucial year-end procedures. This course ensures you grasp every nook and cranny of the vast subjects like PAYE, tax, NI, and pension, setting you up for payroll success. Learning Outcomes Understand the intricacies of the UK Payroll System and its associated legislations. Confidently set up and manage both existing and new employee records. Master payroll processing, including understanding pay elements, payment updates, and reports. Gain proficiency in e-submissions, ensuring seamless digital communication. Efficiently handle unique payroll situations such as when an employee leaves or needs quick SSP. Why choose this Diploma in Payroll (UK Payroll System, Payee, Tax, NI, Pension) at QLS Level 5 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are 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. Who is this Diploma in Payroll (UK Payroll System, Payee, Tax, NI, Pension) at QLS Level 5 course for? Individuals aiming to embark on a career in payroll management. HR professionals seeking a deeper understanding of the payroll process. Business owners aiming to manage their company's payroll in-house. Accountants and finance professionals looking to expand their skill set. Students studying finance or HR, wanting a comprehensive grasp of the UK's payroll system. Career path Payroll Administrator: £18,000 - £25,000 Payroll Manager: £30,000 - £45,000 HR Officer: £22,000 - £30,000 Financial Controller: £40,000 - £60,000 Accountant: £25,000 - £50,000 Payroll Consultant: £35,000 - £55,000 Prerequisites This Diploma in Payroll (UK Payroll System, Payee, Tax, NI, Pension) at QLS Level 5 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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 £115 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 Module 01: Payroll System in the UK Payroll System in the UK 01:05:00 Module 02: Payroll Basics Payroll Basics 00:10:00 Module 03: Company Settings Company Settings 00:08:00 Module 04: Legislation Settings Legislation Settings 00:07:00 Module 05: Pension Scheme Basics Pension Scheme Basics 00:06:00 Module 06: Pay Elements Pay Elements 00:14:00 Module 07: The Processing Date The Processing Date 00:07:00 Module 08: Adding Existing Employees Adding Existing Employees 00:08:00 Module 09: Adding New Employees Adding New Employees 00:12:00 Module 10: Payroll Processing Basics Payroll Processing Basics 00:11:00 Module 11: Entering Payments Entering Payments 00:12:00 Module 12: Pre-Update Reports Pre-Update Reports 00:09:00 Module 13: Updating Records Updating Records 00:09:00 Module 14: e-Submissions Basics e-Submissions Basics 00:09:00 Module 15: Process Payroll (November) Process Payroll (November) 00:16:00 Module 16: Employee Records and Reports Employee Records and Reports 00:13:00 Module 17: Editing Employee Records Editing Employee Records 00:07:00 Module 18: Process Payroll (December) Process Payroll (December) 00:12:00 Module 19: Resetting Payments Resetting Payments 00:05:00 Module 20: Quick SSP Quick SSP 00:09:00 Module 21: An Employee Leaves An Employee Leaves 00:13:00 Module 22: Final Payroll Run Final Payroll Run 00:07:00 Module 23: Reports and Historical Data Reports and Historical Data 00:08:00 Module 24: Year-End Procedures Year-End Procedures 00:09:00 Mock Exam Mock Exam - Diploma in Payroll (UK Payroll System, Payee, Tax, NI, Pension) at QLS Level 5 00:20:00 Final Exam Final Exam - Diploma in Payroll (UK Payroll System, Payee, Tax, NI, Pension) at QLS Level 5 00:20:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

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

AML course will help you to learn how to handle regulatory expectations and protect your organisation, business, and profession from money laundering risks.

Workplace Conflict Management provides individuals with the skills and knowledge they need to resolve workplace conflicts effectively.

Access to Level 1 Diploma: Criminology & Psychology Enrol in Access to Level 1 Diploma: Criminology & Psychology. Master Criminology & Psychology fundamentals, understand Violent Crimes intricacies, and apply Crime Scene investigation methods. Grasp Criminal Psychology principles and explore Criminal Profiling techniques. Familiarize yourself with the Criminal Justice System in England and Wales. Learning Outcomes: Summarise Criminology & Psychology basics. Clarify Violent Crimes in Criminology & Psychology. Apply Criminology & Psychology in Crime Scene analysis. Assess Criminal Psychology principles. Navigate Criminal Profiling and Criminal Justice System. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Access to Level 1 Diploma: Criminology & Psychology Course Syllabus Criminology & Psychology Foundations: Acquire foundational knowledge in Criminology & Psychology, exploring its significance and historical development. Violent Crimes in Criminology &Psychology: Examine violent crimes and their impact, utilizing Criminology & Psychology frameworks for understanding and prevention. Crime Scene Analysis: Master Criminology & Psychology methods for effective crime scene investigation, including evidence collection and forensic applications. Understanding Criminal Psychology: Delve into Criminal Psychology, examining contributing factors and analytical methods through Criminology & Psychology lenses. Criminal Profiling Techniques: Explore Criminal Profiling, using Criminology & Psychology methodologies to reason logically and develop profiles. Criminal Justice System: Understand the structure and operation of the Criminal Justice System through Criminology & Psychology perspectives, including law enforcement roles and court procedures.

Level 1 Diploma in Sports Management and Leadership Learn the fundamentals in Sports Management 101 and explore Leadership and Team Management in Sports. Dive into the intricacies of Sports Facility Management, Financial Sports Management, Ethnography in Sports Management, and Strategic Sports Management. Learning Outcomes: Define Sports Management fundamentals. Explain leadership in sports management. Implement sports facility management strategies. Evaluate financial aspects of sports management. Implement ethnography in sports management. Develop strategic sports management plans. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Level 1 Diploma in Sports Management and Leadership Course Syllabus Sports Management 101: Gain a foundational understanding of sports management, covering key concepts, principles, and roles within the sports industry. Leadership and Team Management in Sports: Explore leadership strategies and techniques specific to sports management, including team dynamics, motivation, and effective coaching. Sports Facility Management: Learn how to efficiently manage sports facilities, covering topics such as scheduling, maintenance, safety, and optimizing facility usage. Financial Sports Management: Understand the financial aspects of sports management, including budgeting, revenue generation, sponsorship deals, and financial planning for sports organizations. Ethnography in Sports Management: Study the role of ethnography in sports management, focusing on understanding fan behavior, cultural influences, and audience engagement strategies. Strategic Sports Management: Develop strategic planning skills tailored to the sports industry, including marketing strategies, event planning, and long-term organizational growth.

Food Safety and Food Allergen Awareness Level 1 Dive into food safety fundamentals and understand the symptoms and diagnosis of food allergies. Discover how to navigate special diets, access allergen information for food safety, and gain insight into food allergen laws and labeling regulations. Ensure safety and compliance in the food industry with this comprehensive training. Learning Outcomes: Grasp Food Safety and food allergen basics. Identify Food Safety-linked allergy symptoms. Clarify diagnosis methods in Food Safety. Evaluate special diets under Food Safety. Apply allergen info for Food Safety. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Food Safety and Food Allergen Awareness Level 1 Course Syllabus Food Allergen Basics: Develop a strong foundation in "Food Safety" by understanding the basics of food allergens, including common allergenic ingredients and their potential risks. Symptoms of Food Allergies: Learn to recognize and differentiate the symptoms of food allergies, a critical skill in ensuring "Food Safety" for all individuals. Diagnosis of Food Allergies: Gain insights into the methods and processes involved in diagnosing food allergies, enabling you to contribute to effective "Food Safety" measures. Food Allergies and Special Diets: Explore how food allergies intersect with special dietary requirements, and how to accommodate these needs while maintaining "Food Safety" standards. Allergen Information for Food Safety: Acquire knowledge about providing allergen information and labels for food products, a crucial aspect of ensuring "Food Safety" for consumers with allergies. Food Allergen Law and the Food Labelling Regulations: Food Safety is paramount in the realm of Food Allergen Law and the Food Labelling Regulations. These regulations, established to protect consumers, mandate the clear labeling of potential allergens in food products.

Certificate in Leadership and Team Skills Level 1 Explore the essentials of Leadership and Team Skills in this Level 1 Certificate course. Delve into diverse Leadership Styles, discover the art of Motivating and Managing Teams, and master Time Management. Gain insights into Financial Management, hone your Project Management skills, and excel in Performance and Talent Management, equipping you for effective leadership and team success. Learning Outcomes: Define various Leadership styles. Explain strategies for motivating and managing teams. Implement effective time management techniques in Leadership. Evaluate financial management principles in Leadership. Develop project, performance, and talent management skills in Leadership. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Certificate in Leadership and Team Skills Level 1 Course Syllabus Leadership Styles: Explore various leadership styles, including autocratic, democratic, transformational, and situational leadership, and understand their applications and impact on team dynamics. Motivating and Managing Teams: Learn effective strategies for motivating and managing teams, including team-building exercises, communication techniques, and conflict resolution skills. Time Management in Leadership: Develop time management skills tailored to leadership roles, including prioritization, delegation, and goal setting, to enhance productivity and efficiency. Financial Management in Leadership: Gain an understanding of financial management principles relevant to leadership positions, including budgeting, financial analysis, and resource allocation. Project Management in Leadership: Acquire project management skills essential for leaders, covering project planning, execution, monitoring, and successful project completion within scope, time, and budget constraints. Performance Management in Leadership: Learn to effectively assess and manage team performance through performance appraisals, feedback mechanisms, and performance improvement plans. Talent Management in Leadership: Explore talent acquisition, development, and retention strategies to build a high-performing team, align individual goals with organizational objectives, and foster professional growth within the team.

Achieve a Hotel Management Diploma! Master recruitment, front office operations, F&B management, and customer satisfaction in the hospitality sector. Sign up now!