126 Courses in Glasgow delivered Online

Course Overview: "Financial Ratio Analysis for Business Decisions" equips learners with essential tools to analyse financial statements effectively, enabling better business decision-making. The course introduces key financial ratios such as profitability, return, liquidity, and operational ratios, providing valuable insights into a company's financial health. By understanding these ratios, learners can evaluate business performance, assess risks, and make informed decisions in various business contexts. The course is designed to enhance the financial acumen of professionals across sectors, equipping them with the analytical skills needed to drive strategic decisions and improve financial outcomes. Learners will gain a comprehensive understanding of how financial ratios influence corporate strategy, with an emphasis on real-world application in business operations and decision-making. Course Description: This course covers a range of financial ratios essential for making informed business decisions. Learners will explore profitability ratios, return ratios, liquidity ratios, and operational analysis, learning how to interpret and use these metrics to evaluate a company's performance. The curriculum also delves into identifying potential financial manipulations and understanding how these impact decision-making. By completing the course, learners will gain a solid understanding of financial ratio analysis and its role in assessing the strengths and weaknesses of an organisation's financial health. The course is designed for professionals across industries looking to enhance their financial literacy and analytical skills, preparing them to make confident, data-driven decisions. Learners will benefit from structured content, expert-led discussions, and industry-specific case studies that help contextualise theoretical concepts. Course Modules: Module 01: Introduction Overview of Financial Ratios Importance of Ratio Analysis in Decision-Making Key Terminology and Definitions Module 02: Profitability Understanding Profit Margin Ratios Gross Profit Margin Net Profit Margin Return on Assets (ROA) and Return on Equity (ROE) Module 03: Return Ratio Definition and Importance of Return Ratios Return on Investment (ROI) Economic Value Added (EVA) Evaluating Business Performance Module 04: Liquidity Ratio Importance of Liquidity Ratios in Business Current Ratio Quick Ratio Cash Flow Analysis Module 05: Operational Analysis Efficiency Ratios Asset Turnover Inventory and Receivables Management Module 06: Detecting Manipulations And Making Other Operational Decisions Identifying Financial Statement Manipulations Fraud Detection Techniques Making Operational Decisions Based on Financial Data (See full curriculum) Who is this course for? Individuals seeking to improve their financial decision-making skills. Professionals aiming to enhance their understanding of financial performance metrics. Beginners with an interest in business finance and financial analysis. Business analysts and managers looking to gain deeper insights into financial health. Career Path: Financial Analyst Business Analyst Investment Analyst Finance Manager Management Consultant Risk Manager Corporate Strategy Analyst

Financial Advisor: Financial Advisor Course online Do you want to work as a financial advisor? If yes, you should enrol in our financial advisor course because it is the best option for obtaining your financial advisor licence. This financial advisor course offers a thorough explanation of how to develop into a qualified financial advisor. This financial advisor course also covers fraud detection and financial advisors for beginners. Financial statement understanding and analysis will also be covered in this financial advisor course. At the end of this financial advisor course, capital budgeting is also explained briefly. So, what are you waiting for? Join our Financial Advisor Course to embark on a path to becoming one of the professionals in financial advisory. Learning Outcomes For Financial Advisor Course After completing this financial advisor course, you will know about: Road to becoming a financial advisor. Understanding financial statements is covered in this financial advisor course. The financial advisor course explains capital budgeting and its features. You can detect fraud as a financial advisor. Know how to deal with financial advisor pressure. Main Course: Financial Advisor Course Free Courses are including with this Financial Advisor Course Along with The Financial Advisor Course, We Offer a free Sage 50 Course Along with The Financial Advisor Course, We Offer a free Level 5 accounting & finance Course Special Offers of this Financial Advisor Course This Financial Advisor Course includes a FREE PDF Certificate. Lifetime access to this Financial Advisor Course Instant access to this Financial Advisor Course Get FREE Tutor Support to this Financial Advisor Course Financial Advisor: Financial Advisor Course online Are you interested in working as a financial advisor and assisting people and companies in reaching their financial objectives? There's nowhere else to look! Our state-of-the-art Financial Advisor course will provide you the information and abilities needed to succeed in this fast-paced industry. You will acquire the skills required to succeed as a financial adviser with the help of this course's extensive curriculum and professional mentoring. Who is this course for? Financial Advisor: Financial Advisor Course online Our Financial Advisor Training course is for anyone who wants to enhance their professional skills and train for a new job or upgrade their knowledge and skills as a financial advisor for a promotion in their career field. This course is suitable for those who: Beginners in Financial Advisor Professionals in Financial Advisor Students in Financial Advisor Career changers in Financial Advisor Requirements Financial Advisor: Financial Advisor Course online To enrol in this Financial Advisor Course, students must fulfil the following requirements. To join in our Financial Advisor Course, you must have a strong command of the English language. To successfully complete our Financial Advisor Course, you must be vivacious and self driven. To complete our Financial Advisor Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Financial Advisor Course. Career path Financial Advisor: Financial Advisor Course online After completing our Financial Advisor course, many jobs in the field will be available for you to explore. Our financial advisor training will help you get a promotion to a position like: Financial Advisor officer Financial Advisor Head

In today’s fast-paced financial landscape, the battle against financial crime demands sharp minds and a thorough understanding of regulations, risks, and investigative techniques. This Financial Crime Manager Course equips you with the essential knowledge to detect, prevent, and respond to illicit financial activities with confidence and clarity. Designed for aspiring and current professionals, it delves into the mechanisms of money laundering, fraud detection, anti-money laundering (AML) frameworks, and risk assessment strategies that keep organisations secure. Beyond theory, this course explores the critical roles played by financial crime managers in safeguarding assets and maintaining organisational integrity. You will gain insight into the latest legislation, regulatory expectations, and emerging threats, all while sharpening your analytical and decision-making abilities. Whether you’re stepping into the field or seeking to refine your expertise, this course provides the intellectual toolkit to navigate the complexities of financial crime management effectively — no cape or superpowers required. Meet the Accreditation CPD Quality Standards (CPD QS) accreditation assure the Financial Crime Manager course training and learning activities are relevant, reliable, and upto date. Expert Support Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course. Key Benefits Learning materials of the Design course contain engaging voiceover and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) curriculum : Module 01: Introduction to Financial Investigation Module 02: Characteristics of Financial Crimes Module 03: Categories of Financial Crimes Module 04: Responsibility of the Money Laundering Reporting Officer Module 05: Risk-based Approach Module 06: Customer Due Diligence Module 07: Record Keeping Module 08: Suspicious Conduct and Transactions Module 09: Laws against Financial Fraud Module 10: Property Law Module 11: The Mortgage Law Course Assessment To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%. When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Financial Crime Manager course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This Financial Crime Manager course is open to all, with no formal entry requirements. Career path Upon successful completion of the Financial Crime Manager Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

Machine Learning is reshaping industries faster than you can say "algorithm". Our Machine Learning with Python Course is built for those who are genuinely curious about how machines learn, make decisions, and improve with data. With Python as your trusty companion, you’ll explore the key concepts and core techniques behind predictive modelling, supervised and unsupervised learning, and data-driven algorithms—all explained in a clear and digestible manner. No fluff, no filler—just solid learning with a structured approach. You’ll journey through essential modules that guide you from the fundamentals of machine learning to building models that actually do something meaningful. Whether you're brushing up your CV or aiming to understand how systems like recommendation engines or fraud detection work, this course offers insight that clicks. Python’s role in the process isn’t treated as a side note—it's woven through each section so you're building knowledge that’s both relevant and up-to-date in today’s data-focused world. If you’re ready to treat your brain to some serious logic and clever code, then this course has your name written in Pythonic syntax. Learning Outcomes: Understand the fundamentals of machine learning. Manipulate data using Numpy and Pandas libraries. Build and evaluate machine learning models using Sklearn pipeline and column transformer. Explore the world of data analysis with Pandas DataFrame. Contribute to the development of cutting-edge technology in the field of machine learning. The Machine Learning with Python course is designed to provide you with the skills and knowledge needed to develop and evaluate machine learning models using Python. In this course, you'll learn how to manipulate data using Numpy and Pandas libraries, build and evaluate machine learning models using Sklearn pipeline and column transformer, and explore the world of data analysis with Pandas DataFrame. The course is perfect for aspiring data scientists, machine learning engineers, and developers interested in machine learning development. By the end of this course, you'll have a deep understanding of the fundamentals of machine learning and how to contribute to the development of cutting-edge technology in this exciting field. With hands-on experience in manipulating data and building and evaluating machine learning models, you'll be well-equipped to start a career in machine learning. Machine Learning with Python Course Course Curriculum Section 01: Introduction Section 02: Numpy Library Section 03: Matplotlib Section 04: Polynomial Regression How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring data scientists. Machine learning engineers. Developers interested in machine learning development. Anyone interested in the field of machine learning. Professionals looking to upskill in the latest technology. Career path Aspiring data scientists. Machine learning engineers. Developers interested in machine learning development. Anyone interested in the field of machine learning. Professionals looking to upskill in the latest technology. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Duration 4 Days 24 CPD hours This course is intended for This course is intended for: Developers Solutions Architects Data Engineers Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker Overview In this course, you will learn to: Select and justify the appropriate ML approach for a given business problem Use the ML pipeline to solve a specific business problem Train, evaluate, deploy, and tune an ML model using Amazon SageMaker Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS Apply machine learning to a real-life business problem after the course is complete This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Module 0: Introduction Pre-assessment Module 1: Introduction to Machine Learning and the ML Pipeline Overview of machine learning, including use cases, types of machine learning, and key concepts Overview of the ML pipeline Introduction to course projects and approach Module 2: Introduction to Amazon SageMaker Introduction to Amazon SageMaker Demo: Amazon SageMaker and Jupyter notebooks Hands-on: Amazon SageMaker and Jupyter notebooks Module 3: Problem Formulation Overview of problem formulation and deciding if ML is the right solution Converting a business problem into an ML problem Demo: Amazon SageMaker Ground Truth Hands-on: Amazon SageMaker Ground Truth Practice problem formulation Formulate problems for projects Module 4: Preprocessing Overview of data collection and integration, and techniques for data preprocessing and visualization Practice preprocessing Preprocess project data Class discussion about projects Module 5: Model Training Choosing the right algorithm Formatting and splitting your data for training Loss functions and gradient descent for improving your model Demo: Create a training job in Amazon SageMaker Module 6: Model Evaluation How to evaluate classification models How to evaluate regression models Practice model training and evaluation Train and evaluate project models Initial project presentations Module 7: Feature Engineering and Model Tuning Feature extraction, selection, creation, and transformation Hyperparameter tuning Demo: SageMaker hyperparameter optimization Practice feature engineering and model tuning Apply feature engineering and model tuning to projects Final project presentations Module 8: Deployment How to deploy, inference, and monitor your model on Amazon SageMaker Deploying ML at the edge Demo: Creating an Amazon SageMaker endpoint Post-assessment Course wrap-up Additional course details: Nexus Humans The Machine Learning Pipeline on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the The Machine Learning Pipeline on AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

The Fintech Frontier: Why FDs Need to Know About Fintech,” the podcast where we delve into the world of financial technology There are numerous areas where fintech can make a significant impact. For example, payment processing and reconciliation can be streamlined through digital payment solutions and automated tools. Data analytics and artificial intelligence can enhance financial forecasting, risk management, and fraud detection. Blockchain technology can revolutionize supply chain finance and streamline processes involving multiple parties. By understanding the capabilities of these fintech solutions, FDs can identify areas for improvement and select the right technologies to optimise their financial operations. Additionally, fintech can greatly enhance financial reporting and analysis. Advanced data analytics tools can extract meaningful insights from vast amounts of financial data, enabling FDs to make data-driven decisions and identify trends and patterns. Automation of repetitive tasks, such as data entry and reconciliation, reduces the risk of errors and frees up valuable time for FDs to focus on strategic initiatives. The adoption of cloud-based financial management systems also provides flexibility, scalability, and real-time access to financial data, empowering FDs to make informed decisions on the go. With the rapid pace of fintech advancements, how can FDs stay up to date and navigate the evolving fintech landscape? Continuous learning and engagement with the fintech community are key. Attend industry conferences, participate in webinars and workshops, and engage with fintech startups and established players. Networking with professionals in the field, joining fintech-focused associations, and following relevant publications and blogs can help FDs stay abreast of the latest fintech developments. Embracing a mindset of curiosity and adaptability is crucial in navigating the ever-changing fintech landscape. I would also encourage FDs to foster partnerships and collaborations with fintech companies. Engage in conversations with fintech providers to understand their solutions and explore potential synergies. By forging strategic partnerships, FDs can gain access to cutting-edge technologies and co-create innovative solutions tailored to their organisation’s unique needs. As we conclude, do you have any final thoughts or advice for our FD audience regarding fintech? Embrace fintech as an opportunity, not a threat. Seek to understand its potential and how it can align with your organisation’s goals and strategies. Be open to experimentation and pilot projects to test the viability of fintech solutions. Remember that fintech is a tool to enhance and optimize financial processes, and as FDs, we have a crucial role in driving its effective implementation. https://www.fdcapital.co.uk/podcast/the-fintech-frontier-why-fds-need-to-know-about-fintech/ Tags Online Events Things To Do Online Online Conferences Online Business Conferences #event #fintech #knowledge #fds #frontier