530 Manipulation courses delivered Online

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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Start your learning journey straightaway! *** Course Curriculum *** Course 01: YouTube and Instagram Video Production with Editing Bootcamp Section 01: Preparation For Filming Section 02: Filming Your Videos Section 03: Importing, Storage & Backup Section 04: Editing Section 05: Exporting, Publishing & Uploading Course 02: Video Editing Advanced Diploma - DaVinci Resolve Unit 01: Introduction Unit 02: Overview Unit 03: Editing Techniques Unit 04: Editing A Dance Film Unit 05: Final Thoughts Course 03: Adobe Premiere Pro CC Section: 01 1.1 Premiere Pro Course Intro - UPDATED 1 1.2 Quick Win - Stabilize ShakyVideo 1.2 Starting a New Project and Premiere Pro Orientation - UPDATE 1 1.3 Importing and Organizing 1.4 Quick win n_ Stablize your Videos 1.5 OPTIONAL - Use Media Browser to import Clips Section: 02 2.1 Starting a New Sequence and Understanding the Timeline - UPDATE 1 2.2 Adding Clips to the Timeline, Syncing Footage, and Making Selects 2.3 Exercise - Syncing Video and Audio - UPDATE 1 2.4 Exercise Review - Syncing Video and Audio - UPDATE 1 2.5 Editing Tools 2.6 Adding bRoll Footage to Your Video 2.7 Adjusting Clip Size and Position 2.8 REVIEW Adjusting Clip Size and Position - UPDATE 1 2.9 Bonus - Editing Down an Interview - UPDATE 1 PP 2.10 Editing a Narrative Scene Section: 03 3.1 Course Check In 3.2 Adding Video Transitions - UPDATE 1 3.3 Review Video Transitions - UPDATE 1 3.4 Adding Audio Transitions - UPDATE 1 3.5 Exercise - Create a Custom Blur Transition PP 3.6 Trouble with Transitions and much more... =========>>>>> And 22 More Courses <<<<<========= How will I get my Certificate? 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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? 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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

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