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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
Learn Scrum, a popular framework used to develop software applications through the Agile methodology. This course provides you with step-by-step instructions for learning Scrum and gaining a strong foundation toward various Scrum certifications. Learn Scrum with a build-along experience and apply Scrum in your Agile-based product team at work.
SAFeĀ® Agile Product Management: In-House Training Discover and apply the mindset, skills, and tools you need to create successful products and solutions that are desirable, viable, feasible, and sustainable. The Agile Product Management course harnesses the power of Design Thinking to develop innovative solutions with proven SAFeĀ® capabilities to execute on those visions. Learn the right mindset, skills, and tools to create successful products from inception to retirement using Agile techniques. Recognize how Continuous Exploration fuels innovation and helps you define a vision, strategy, and roadmap to tap into new markets. Find out how to accelerate the product life cycle to get fast feedback and quickly deliver exceptional products and solutions that delight customers all while aligning with your organization's strategy, portfolio, evolving architecture, and solution intent. What you will Learn After completing the class, you should be able to: Use Design Thinking to achieve desirable, feasible, and sustainable outcomes Explore market needs, segmentation, sizing, and competitive landscape Manage value stream economics, including pricing and licensing Use empathy to drive design Apply product strategy and vision Develop and evolve roadmaps Execute and deliver value using SAFeĀ® Explore innovation in the value stream Analyzing your Role as a Product Manager in the Lean Enterprise Continuously Exploring Markets and Users Driving Strategy with Market Segmentation Using Empathy to Drive Design Defining Product Strategy and Vision Creating Roadmaps to Build Solutions Delivering Value Managing Value Stream Economics Creating Innovation in the Value Stream
Overview of Financial Analysis Join our Financial Analysis course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Financial Analysis course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Financial Analysis course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! Get a Quick Look at The Course Content: This Financial Analysis Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Financial Analysis. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Financial Analysis course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Financial Analysis is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Financial Analysis course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Financial Analysis Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Module 01: Introduction to Financial Analysis Introduction to Financial Analysis 00:16:00 Module 02: The Balance Sheet The Balance Sheet 00:28:00 Module 03: The Income Statement The Income Statement 00:24:00 Module 04: The Cash Flow Statement The Cash Flow Statement 00:24:00 Module 05: Financial Reporting Financial Reporting 00:25:00 Module 06: Analysing Profitability Analysing Profitability 00:21:00 Module 07: The Applications and Limitations of EBITDA The Applications and Limitations of EBITDA 00:26:00 Module 08: Credit Analysis Credit Analysis 00:30:00 Module 09: Equity Analysis Equity Analysis 00:16:00 Module 10: Ratio Analysis Ratio Analysis 00:27:00 Mock Exam Mock Exam - Financial Analysis 00:20:00 Final Exam Final Exam - Financial Analysis 00:20:00
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This course provides practical training in all areas of sustainable energy, including renewable energy sources, photovoltaic systems and sustainable energy technologies. You will learn about the impact of sustainable energy on the environment and will explore wind, solar, ocean and geothermal energy in detail. This course is ideal for those who are looking to fast track their career in the energy sector. It includes case studies and practical exercises that are designed for those who have little knowledge of sustainable technologies in this field. Learning Objective: Be able to identify the different types of non-renewable energy Demonstrate an understanding of sustainable energy technologies & systems Understand how wind, solar, ocean and geothermal energy works Learn about the potential applications of different renewable energy sources Broaden your understanding of the environmental impacts of renewable energy technologies Fast track your career with an endorsed certificate in Sustainable Energy Explore the idea of hydrogen fuel cells as a source of renewable power Develop your understanding of the future of energy systems Learn about photovoltaic systems and how solar energy is harnessed Who is This Course for? This endorsed training course in Sustainable Energy is ideal for those who are interested in working in the sustainable and renewable energy sector, as well as those who would like to gain a more in-depth understanding of sustainable energy sources. Our online courses are specially designed for distance learning, offering flexible virtual classroom modules that you can study at your own convenience. There are no specific entry requirements for the course, which can be studied part-time or full-time. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the course. Good understanding of English language, numeracy and ICT are required to attend this course. Career Path This introductory to sustainable energy course is designed to equip you with the skills and practical knowledge to work in the following professions: Sustainable Energy Consultant Graduate Energy Specialist Energy and Utilities Analyst Energy Engineer Course Curriculum Module 1: History of Energy Consumption Module 1: History of Energy Consumption 00:35:00 Assessment Module 1 Module 01 Final Quiz Exam - Sustainable Energy 00:10:00 Module 2: Non-Renewable Energy Module 2: Non-Renewable Energy 00:30:00 Assessment Module 2 Module 02 Final Quiz Exam - Sustainable Energy 00:10:00 Module 3: Basics of Sustainable Energy Module 3: Basics of Sustainable Energy 00:30:00 Assessment Module 3 Module 03 Final Quiz Exam - Sustainable Energy 00:10:00 Module 4: Fuel Cell Module 4: Fuel Cell 00:45:00 Assessment Module 4 Module 04 Final Quiz Exam - Sustainable Energy 00:10:00 Module 5: Solar Energy Module 5: Solar Energy 00:50:00 Assessment Module 5 Module 05 Final Quiz Exam - Sustainable Energy 00:10:00 Module 6: Wind Energy Module 6: Wind Energy 01:20:00 Assessment Module 6 Module 06 Final Quiz Exam - Sustainable Energy 00:10:00 Model 7: Ocean Energy Module 7: Ocean Energy 00:30:00 Assessment Module 7 Module 07 Final Quiz Exam - Sustainable Energy 00:10:00 Module 8: Geothermal Energy Module 8: Geothermal Energy 00:35:00 Assessment Module 8 Module 08 Final Quiz Exam - Sustainable Energy 00:10:00 Module 9: Application of Renewable Energy Module 9: Application of Renewable Energy 00:15:00 Assessment Module 9 Module 09 Final Quiz Exam - Sustainable Energy 00:10:00 Module 10: Being Environment-Friendly Module 10: Being Environment-Friendly 00:25:00 Assessment Module 10 Module 10 Final Quiz Exam - Sustainable Energy 00:10:00 Order Your Certificate
Precision matters in healthcareāand so does data. The Clinical Coding: 20-in-1 Premium Online Courses Bundle is crafted for those pursuing a future in medical data analysis, healthcare administration, or clinical documentation. Build your job profile with skills employers actively seek. Description As healthcare becomes increasingly digital, the demand for professionals who understand data, systems, and terminology is rising fast. This bundle was created to help you access that waveāwhether you're looking at clinical coding, medical auditing, data coordination, or NHS records management. Covering everything from biomedical principles and public health to data handling, documentation, and communication, this comprehensive training package is built to showcase your readiness to work in hospitals, research labs, health tech companies, and clinical outsourcing firms. For those serious about entering the healthcare analytics fieldāor adding proof of competence to an existing careerāthis is a golden opportunity. Why wait? Get 20 certificates. Build one powerful profile. FAQ Q: What industries is this bundle relevant to? A: Clinical coding, health data analysis, NHS administration, medical documentation, and health informatics. Q: What job titles could this support? A: Clinical Coder, Medical Records Officer, Health Data Analyst, NHS Admin Assistant, Lab Documentation Officer, or Healthcare Support Clerk. Q: Do I need healthcare experience to start? A: Not at all. The bundle is suitable for newcomers and career-changers alike. Q: Will certificates be provided? A: Yesāeach course grants a separate certificate to showcase on your CV. Q: Is the training available after enrolment for life? A: Yes, youāll have unlimited lifetime access to all included courses.
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