Overview This comprehensive course on Financial Ratio Analysis for Business Decisions will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Financial Ratio Analysis for Business Decisions comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Financial Ratio Analysis for Business Decisions. It is available to all students, of all academic backgrounds. Requirements Our Financial Ratio Analysis for Business Decisions is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 6 sections • 22 lectures • 02:42:00 total length •Financial Statement Analysis Objectives: 00:02:00 •Financial Analysis Methods in Brief: 00:10:00 •Ratio Analysis: 00:05:00 •Gross Profit: 00:10:00 •Net Profit: 00:05:00 •ClassRoom Discussion for some other expenses: 00:07:00 •Use of Profitability Ratio to understand Competitive advantage and business model: 00:08:00 •Return on Assets and Fixed Assets: 00:11:00 •Return on Capital Employed: 00:08:00 •Case Study Analysis of three telecom companies: 00:15:00 •Cautions for using return ratios on face value: 00:04:00 •Ratios which help to understand how efficiently assets are used: 00:17:00 •How do we measure utilisation of assets not recorded in the Balance Sheet: 00:09:00 •Liquidity Ratio to understand Risk inherent in companies: 00:05:00 •Long Term Liquidity Ratios: 00:06:00 •Financial Analysis Measure meant to understand efficiency in other operations: 00:04:00 •Summarise - Ratios use for operational analysis: 00:03:00 •Dupont Analysis to understand opportunities in optimising return on equity: 00:04:00 •Detecting Manipulation in accounts - Fake Sales: 00:11:00 •Detecting Manipulation - Wrong Depreciation and others: 00:06:00 •Pricing Decisions: 00:07:00 •How to make Capex Decisions: 00:05:00
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***24 Hour Limited Time Flash Sale*** Video Editing Advanced Diploma Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter In today's digital age, the demand for skilled video editors has skyrocketed. According to recent statistics, the video editing industry in the UK is projected to grow by a staggering 15% by 2027, with an estimated 10,000 new job openings annually. This surge in demand is fueled by the ever-increasing popularity of video content across various platforms, including social media, advertising, and entertainment. This comprehensive Video Editing bundle equips you with video editing essentials, advanced techniques like color grading, animation, motion graphics, photography, filmmaking, audio editing, photo manipulation, and vector art skills, utilizing industry-standard tools like Adobe Premiere Pro, After Effects, Illustrator, and more. But that's not all. 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Overview In the era where information is abundant and decisions are driven by data, have you ever pondered, 'what is machine learning?' or 'what is data science?' Dive into the realm of 'Data Science & Machine Learning with R from A-Z,' a comprehensive guide to unravel these complexities. This course effortlessly blends the foundational aspects of data science with the intricate depths of machine learning algorithms, all through the versatile medium of R. As the digital economy booms, the demand for machine learning jobs continues to surge. Equip yourself with the proficiency to navigate this dynamic field and transition from being an inquisitive mind to a sought-after professional in the space of data science and machine learning with R. Learning Outcomes: Understand the foundational concepts of data science and machine learning. Familiarise oneself with the R environment and its functionalities. Master data types, structures, and advanced techniques in R. Acquire proficiency in data manipulation and visual representation using R. Generate comprehensive reports using R Markdown and design web applications with R Shiny. Gain a thorough understanding of machine learning methodologies and their applications. Gain insights into initiating a successful career in the data science sector. Why buy this Data Science & Machine Learning with R from A-Z course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Data Science & Machine Learning with R from A-Z there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Data Science & Machine Learning with R from A-Z course for? This course is ideal for Individuals keen on exploring the intricacies of machine learning and data science. Aspiring data analysts and scientists looking to specialise in Machine Learning with R. IT professionals aiming to diversify their skill set in the emerging data-driven market. Researchers seeking to harness the power of R for data representation and analysis. Academics and students aiming to bolster their understanding of modern data practices with R. Prerequisites This Data Science & Machine Learning with R from A-Z does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Science & Machine Learning with R from A-Z 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. Career path Data Scientist - Average salary range: £35,000 - £70,000 Per Annum Machine Learning Engineer - Average salary range: £50,000 - £80,000 Per Annum Data Analyst - Average salary range: £28,000 - £55,000 Per Annum R Developer - Average salary range: £30,000 - £60,000 Per Annum R Shiny Web Developer - Average salary range: £32,000 - £65,000 Per Annum Machine Learning Researcher - Average salary range: £40,000 - £75,000 Per Annum Course Curriculum Data Science and Machine Learning Course Intro Data Science and Machine Learning Introduction 00:03:00 What is Data Science 00:10:00 Machine Learning Overview 00:05:00 Who is This Course for 00:03:00 Data Science and Machine Learning Marketplace 00:05:00 Data Science and Machine Learning Job Opportunities 00:03:00 Getting Started with R Getting Started 00:11:00 Basics 00:06:00 Files 00:11:00 RStudio 00:07:00 Tidyverse 00:05:00 Resources 00:04:00 Data Types and Structures in R Unit Introduction 00:30:00 Basic Type 00:09:00 Vector Part One 00:20:00 Vectors Part Two 00:25:00 Vectors - Missing Values 00:16:00 Vectors - Coercion 00:14:00 Vectors - Naming 00:10:00 Vectors - Misc 00:06:00 Creating Matrics 00:31:00 List 00:32:00 Introduction to Data Frames 00:19:00 Creating Data Frames 00:20:00 Data Frames: Helper Functions 00:31:00 Data Frames Tibbles 00:39:00 Intermediate R Intermediate Introduction 00:47:00 Relational Operations 00:11:00 Conditional Statements 00:11:00 Loops 00:08:00 Functions 00:14:00 Packages 00:11:00 Factors 00:28:00 Dates and Times 00:30:00 Functional Programming 00:37:00 Data Import or Export 00:22:00 Database 00:27:00 Data Manipulation in R Data Manipulation in R Introduction 00:36:00 Tidy Data 00:11:00 The Pipe Operator 00:15:00 The Filter Verb 00:22:00 The Select Verb 00:46:00 The Mutate Verb 00:32:00 The Arrange Verb 00:10:00 The Summarize Verb 00:23:00 Data Pivoting 00:43:00 JSON Parsing 00:11:00 String Manipulation 00:33:00 Web Scraping 00:59:00 Data Visualization in R Data Visualization in R Section Intro 00:17:00 Getting Started 00:16:00 Aesthetics Mappings 00:25:00 Single Variable Plots 00:37:00 Two Variable Plots 00:21:00 Facets, Layering, and Coordinate Systems 00:18:00 Styling and Saving 00:12:00 Creating Reports with R Markdown Creating with R Markdown 00:29:00 Building Webapps with R Shiny Introduction to R Shiny 00:26:00 A Basic R Shiny App 00:31:00 Other Examples with R Shiny 00:34:00 Introduction to Machine Learning Machine Learning Part 1 00:22:00 Machine Learning Part 2 00:47:00 Starting A Career in Data Science Starting a Data Science Career Section Overview 00:03:00 Data Science Resume 00:04:00 Getting Started with Freelancing 00:05:00 Top Freelance Websites 00:05:00 Personal Branding 00:05:00 Importance of Website and Blo 00:04:00 Networking Do's and Don'ts 00:04:00 Assignment Assignment - Data Science & Machine Learning with R 00:00:00
Market abuse may arise in circumstances where financial market investors have been unreasonably disadvantaged, directly or indirectly, by others who: have used information which is not publicly available. Description An online e-learning course to enable those working in FCA-regulated firms to recognise Market Abuse, including insider dealing and market manipulation, and make them aware of the requirements of the FCA. Training Duration This course may take up to 2 hours to be completed. However, actual study time differs as each learner uses their own training pace. Training Method The course is offered fully online using a self-paced approach. The learning units consist of reading material. Learners may start, stop and resume their training at any time. At the end of each session, participants take a Quiz to complete their learning unit and earn a Certificate of Completion upon completion of all units. Accreditation and CPD Recognition This programme has been developed by the London Governance and Compliance Academy (LGCA), a UK-recognised training institution. The syllabus is verified by external subject matter experts and can be accredited by regulators and other bodies for 2 CPD Units that approve education in financial regulation, such as the FCA. The course may be also approved for CPD Units by institutions which approve general financial training, such as the CISI. Eligibility criteria and CPD Units are verified directly by your association, regulator or other bodies which you hold membership. Registration and Access To register to this course, click on the Get this course button to pay online and receive your access instantly. If you are purchasing this course on behalf of others, please be advised that you will need to create or use their personal profile before finalising your payment. If you wish to receive an invoice instead of paying online, please contact us at info@lgca.uk. Access to the course is valid for 365 days.