4124 Courses in Cardiff delivered Online

Course Overview: The demand for credit analysts is growing rapidly. According to the Bureau of Labor Statistics, employment of credit analysts is projected to grow 13 percent from 2020 to 2030, much faster than the average for all occupations. If you are interested in a career in credit analysis, the Credit Analyst Course is the perfect way to get started. This course will provide you with the knowledge and skills you need to assess the financial health of businesses and individuals and to make informed lending decisions. Each number you encounter is like a puzzle piece, waiting for you to piece together the bigger picture of a company's financial story. Armed with this knowledge, you'll hold the power to assess creditworthiness, evaluate risk, and influence pivotal decisions that shape the future of organisations. Our course is meticulously designed to empower you with the skills and insights that industry experts possess. From unravelling the enigmatic language of balance sheets to examining the art of profitability analysis, you'll learn to easily navigate financial statements, extracting invaluable information that drives sound financial strategies. Enrol now and unravel the secrets that lie within financial statements! Key Features of the Course: As you complete the Credit Analyst course, you'll receive a prestigious Continuing Professional Development (CPD) certificate, a testament to your proficiency in credit analysis and a mark of distinction in the finance world. Our dedicated support team is always at your service, ensuring you have a smooth and fulfilling learning experience. Prepare to be engaged with interactive lessons, real-world case studies, and fascinating exercises that bring financial concepts to life. Who is This Course For? This course is ideal for anyone who wants to pursue a career in credit analysis. It is also a good choice for financial professionals who want to improve their skills and knowledge in this area. What You Will Learn: In this course, you'll embark on a comprehensive journey through essential topics, including: Lay the groundwork by understanding the significance and impact of financial analysis on decision-making. Dive into the heart of a company's financial position, uncovering its assets, liabilities, and equity. Decipher the story behind a company's revenues, expenses, and profits, painting a vivid picture of its financial performance. Follow the cash trail within an organisation, gauging its liquidity and financial health. Master the art of presenting financial information accurately and ethically. Explore methods to assess a company's profitability, efficiency, and potential for growth. Uncover the power and practical implications of the widely-used financial metric, EBITDA. Develop the skills to evaluate creditworthiness, mitigate risk and safeguard financial interests. Understand the valuation of equity and delve into investment analysis techniques. Ratio Analysis: Utilise financial ratios to derive valuable insights about a company's financial standing. Why Enrol in This Course: In-Demand Skills: Credit analysis is a coveted skill in the finance industry, opening doors to various rewarding career paths. Top Reviewed Course: Join a community of learners who have raved about the course's quality and effectiveness. Recently Updated: Stay abreast of the latest industry practices and trends with our continually updated course content. A World of Opportunities: Credit analysis remains an evergreen field, ensuring your expertise will always be in demand. Requirements: No prerequisites are necessary for enrolling in this course. All you need is a passion for finance and a thirst for knowledge, and we'll take care of the rest. Career Path: Upon completing this course, you'll be prepared to pursue a range of finance-related professions, including: Credit Analyst - £35,000 to £45,000 Financial Analyst - £40,000 to £55,000 Investment Analyst - £45,000 to £60,000 Risk Analyst - £35,000 to £50,000 Portfolio Manager - £50,000 to £70,000 Corporate Finance Associate - £40,000 to £55,000 Financial Consultant - £35,000 to £60,000 Certification: Your journey as a credit analyst will culminate in receiving a well-earned CPD certificate, validating your expertise and bolstering your standing in the financial realm. Embrace this opportunity to elevate your financial prowess and embark on a transformational learning experience. Course Curriculum 11 sections • 11 lectures • 04:10:00 total length •Introduction to Financial Analysis: 00:18:00 •The Balance Sheet: 00:29:00 •The Income Statement: 00:25:00 •The Cash Flow Statement: 00:25:00 •Financial Reporting: 00:26:00 •Analysing Profitability: 00:22:00 •The Applications and Limitations of EBITDA: 00:27:00 •Credit Analysis: 00:32:00 •Equity Analysis: 00:18:00 •Ratio Analysis: 00:28:00 •Assignment - Credit Analyst: 00:00:00

Take your JavaScript and Vue skills to the next level by learning state management, routing, authentication and Firebase

Oven cleaning is an essential task that is often overlooked, yet it plays a crucial role in kitchen hygiene and the efficiency of cooking appliances. Whether it's a home kitchen oven or an industrial furnace, regular cleaning ensures that these appliances operate at their best and last longer. This Oven Cleaning Course aims to provide a thorough understanding of oven cleaning, covering various aspects from basic concepts to safety protocols.

Unlock the complexities of property law with our comprehensive Level 2 Property Law course. Whether you're looking to advance your career in real estate, law, or simply deepen your understanding of property rights, this course offers essential knowledge and practical insights. Key Features: CPD Certified Developed by Specialist Lifetime Access In the Level 2 Property Law course, learners will explore fundamental concepts of property ownership and management. They will understand how property rights and interests are defined and protected under the law, whether through ownership, possession, or lease agreements. Students will learn about the differences between registered and unregistered land, and how legal principles apply to co-ownership scenarios. The course also covers aspects of property security, such as mortgages and proprietary estoppel, which ensure legal protections and rights related to property. Additionally, learners will gain insights into property law licenses and the role of insurance in maintaining and protecting property assets. This course equips learners with essential knowledge to navigate various legal aspects of property ownership and management effectively. Course Curriculum Module 01: Introduction to Property Law Module 02: Land Law Principles - Rights and Interests Module 03: Ownership and Possession of the Property Module 04: Registered and Unregistered Land Module 05: Leases and Bailment Module 06: Co-Ownership in Property Module 07: Security Interests in Property Module 08: The Mortgage Law Module 09: Insurance for Property Maintenance Module 10: Proprietary Estoppel (Property Rights) Module 11: Property Law Licence Learning Outcomes: Understand foundational principles in Land Law and Property Ownership. Identify rights, interests, and legal frameworks in property transactions. Analyze the distinctions between registered and unregistered land properties. Explain the legal implications of leases, bailment, and co-ownership arrangements. Assess the role of security interests, mortgages, and insurance in property law. Discuss the principles and applications of proprietary estoppel in property rights. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring legal professionals seeking specialized knowledge in property law. Real estate agents aiming to deepen their understanding of property transactions. Individuals involved in property management or administration roles. Law students interested in specializing in property law. Professionals in finance or insurance sectors related to property. Career path Property Lawyer Real Estate Solicitor Land Law Consultant Property Manager Insurance Claims Officer Legal Advisor Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Duration 5 Days 30 CPD hours This course is intended for Project team members & consultants Overview Set up organizational structures in Warehouse ManagementConfigure control of pick, putaway, and stock transfer activities at master data and Customizing levelIntegrate Warehouse Management into other logistics applications in SAP ERP In this course, students will set up organizational structures in the Warehouse Management System and configure control of pick, put-away, and stock transfer activities at the master data and customizing level. Course Outline Organizational units and master data in Warehouse Management Configuration of the interface between Inventory Management and Warehouse Management Batch management and quality management in the warehouse Delivery processes using Warehouse Management Staging components for production from the warehouse Configuring the warehouse activity monitor as a control instrument Inventory at storage bin level Case study: setting up a new warehouse Additional course details: Nexus Humans SCM630 SAP Warehouse Management 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 SCM630 SAP Warehouse Management 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.

Duration 3 Days 18 CPD hours This course is intended for Networking and security professionals involved in the management, configuration, administration, and monitoring of FortiGate devices used to secure their organizations' networks should attend this course. You should have a thorough understanding of all the topics covered in the FortiGate Security course before attending the FortiGate Infrastructure course. Overview After completing this course, the successful student should be able to: Deploy the appropriate operation mode for your network Use the GUI and CLI for administration Control network access to configured networks using firewall policies Apply port forwarding, source NAT, and destination NAT Authenticate users using firewall policies Understand encryption functions and certificates Inspect SSL/TLS-secured traffic to prevent encryption used to bypass security policies Configure security profiles to neutralize threats and misuse, including viruses, torrents, and inappropriate websites Apply application control techniques to monitor and control network applications that might use standard or non-standard protocols and ports Fight hacking and denial of service (DoS) Collect and interpret log entries Identify the characteristics of the Fortinet Security Fabric In this three-day course, you will learn how to use the most common FortiGate features, including security profiles. In interactive labs, you will explore firewall policies, the Fortinet Security Fabric, user authentication, and how to protect your network using security profiles, such as IPS, antivirus, web filtering, application control, and more. These administration fundamentals will provide you with a solid understanding of how to implement basic network security. Product Version FortiOS 7.2 Course Outline 1. Introduction and Initial Configuration 2. Firewall Policies 3. Network Address Translation 4. Firewall Authentication 5. Logging and Monitoring 6. Certificate Operations 7. Web Filtering 8. Application Control 9. Antivirus 10. Intrusion Prevention and Denial of Service 11. Security Fabric

According to estimates, when businesses make decisions based on data and statistics, their productivity rises by 5%. As a result, the demand for analytical talents is growing as the world gets more and more data-driven. This Statistical Analysis course teaches you how to use data to make decisions, gain business insights, and forecast trends, giving you a competitive edge in any industry. Large-scale data collection, exploration, and presentation to identify underlying patterns and trends are known as statistical analysis. Every day, statistics are used in studies, business, and government to help make decisions more scientifically. For example, when introducing new products to the market, statistical analysis can offer helpful information for decision-making. Analysis can be performed to identify the product's trustworthy markets and forecast sales and demand. Additionally, it might be beneficial in choosing the ideal launch window. This course will improve your ability to make smarter, more impactful decisions in a fast-paced and uncertain world. It will help you to extract strategic business insights and use modelling to predict future trends. It will also help you with your data visualisation skills with which to communicate your findings. So enrol in the Statistical Analysis course and gain vital skills to start a successful career. Learning Outcomes: Understand how data-driven models can improve your decisions. Gain data analysis skills that you can apply in your role and organisation. Learn to assess the reliability of data, extract strategic business insights, and use modelling to predict future trends. Know about data visualisation skills with which to communicate your findings to all stakeholders. Learn about probability, binomial and normal distributions. Get to know the basic statistical terms. Why Prefer This Statistical Analysis Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme & another certificate accredited by CPD QS after completing the Statistical Analysis course Get a free student ID card! (£10 postal charges will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. Take a step toward a brighter future! *** Course Curriculum *** Here is the curriculum breakdown of the Statistical Analysis course: Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing the Diploma in Statistical Analysis at QLS Level 5 course exam, you will be able to request a certificate at an additional cost that has been endorsed by the Quality Licence Scheme. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this Statistical Analysis course. This course is open to everybody. Requirements You will not need any prior background or expertise to enrol in this course. Career path This Statistical Analysis course is meant to introduce statistical analysis. In the UK, statistical analysts make, on average, £35,817 per year. You will be able to significantly demonstrate your new skills and statistical knowledge. This can benefit you regarding job applications, professional advancement, and personal mastery. Certificates Certificate Accredited by CPD QS Digital certificate - £10 Diploma in Statistical Analysis at QLS Level 5 Hard copy certificate - £119 Show off Your New Skills with a Certificate of Completion Endorsed Certificate of Achievement from the Quality Licence Scheme After successfully completing the Diploma in Statistical Analysis at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 119 GBP inside the UK 129 GBP (including postal fees) for International Delivery Certificate Accredited by CPD QS Upon finishing the Statistical Analysis course, you need to order to receive a Certificate Accredited by CPD QS that is accepted all over the UK and also internationally. The pricing schemes are: 10 GBP for Digital Certificate 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (International Delivery)

This course equips learners with a comprehensive understanding of the NumPy stack, including NumPy, Matplotlib, Pandas, and SciPy, to effectively tackle common challenges in deep learning and data science. Master the basics with this carefully structured course.

Course Overview Gain an excellent understanding of power electronics and power systems by taking this Power Electronics for Electrical Engineering course.  The Power Electronics for Electrical Engineering course will provide a thorough overview of power electronics fundamentals and their importance. Here, you will learn about the power electronics components and understand the working principle of rectifier circuits. Furthermore, you will learn about the design and implementation of AC and DC choppers and explore the fundamentals of inverters in power electronics. Learning Outcomes Identify the primary purpose of power electronics Understand how power electronics work Know about rectifiers and their operations Determine how AC and DC choppers work Gain insights into the inverter fundamentals and types Who is this course for? Anyone interested in improving their knowledge of electrical circuit analysis can take this Power Electronics for Electrical Engineering course. Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path Power Electronics for Electrical Engineering course offers useful skills to possess and would be beneficial for any relevant profession or career such as: Electronics: Apprentice Electrician Electronics: Industrial Electricians Electronics: Commercial Electrician Electronics: Residential Electrician Electronics: Maintenance Electrician Auto Electrician Unit 1- Introduction to Power Electronics Components Module 1- Introduction to Power Electronics 00:13:00 Module 2- Uncontrolled Switches 00:17:00 Module 3- What is the Benefit of Diode 00:06:00 Module 4- Semi-Controlled Switches Part 1 00:09:00 Module 5- Semi-Controlled Switches Part 2 00:14:00 Module 6- Semi-Controlled Switches Part 3 00:05:00 Module 7- What is the Benefit of Thyristor 00:05:00 Module 8- Fully Controlled Switches Part 1 00:17:00 Module 9- Fully Controlled Switches Part 2 00:10:00 Module 10- Fully Controlled Switches Part 3 00:12:00 Unit 2- Fundamentals of Rectifier Circuits Module 1- Overview on Rectifiers 00:02:00 Module 2- Rectifier Definition 00:01:00 Module 3- Half Wave Uncontrolled Rectifier with R Load 00:21:00 Module 4- Example on Half Wave Uncontrolled Rectifier with R Load Part 1 00:06:00 Module 5- Example on Half Wave Uncontrolled Rectifier with R Load Part 2 00:07:00 Module 6- Half Wave Uncontrolled Rectifier with RL Load 00:10:00 Module 7- Derivation of the Discontinuous Current in R-L Load 00:08:00 Module 8- Freewheeling Diode (Commutation Diode) 00:03:00 Module 9- Half Wave R-L Load with FWD 00:09:00 Module 10- Difference Between Continuous and Discontinuous Mode in RL Load 00:07:00 Module 11- Half Wave RL Load with FWD Continuous Mode 00:06:00 Module 12- Example on Half Wave Rectifier with FWD 00:07:00 Module 13- Bridge Full Wave Uncontrolled Rectifier Part 1 00:07:00 Module 14- Bridge Full Wave Uncontrolled Rectifier Part 2 00:05:00 Module 15- Quick Revision on Bridge Full Wave Uncontrolled Rectifier 00:06:00 Module 16- Firing Angle 00:02:00 Module 17- Half Wave Controlled Rectifier R Load 00:05:00 Module 18- Half Wave Controlled Rectifier R-L Load 00:04:00 Module 19- Half Controlled R-L Load with FWD 00:06:00 Module 20- Example 1 00:07:00 Module 21- Example 2 00:08:00 Module 22- Example 3 00:13:00 Module 23- Example 4 00:09:00 Module 24- Example 5 00:05:00 Module 25- Fully Controlled Bridge Rectifier Part 1 00:06:00 Module 26- Fully Controlled Bridge Rectifier Part 2 00:06:00 Module 27- Quick Revision on Bridge Full Wave Controlled Rectifier 00:02:00 Module 28- Example 6 00:08:00 Module 29- Half Controlled Bridge Rectifier 00:08:00 Module 30- Half Controlled Bridge Rectifier with FWD 00:05:00 Module 31- Example 7 00:06:00 Module 32- Example 8 00:07:00 Module 33- Performance Parameters 00:04:00 Module 34- Power Factor 00:04:00 Unit 3- Fundamentals of AC Choppers Module 1- Introduction to AC Choppers 00:02:00 Module 2- Definition of AC Choppers 00:05:00 Module 3- Switching Techniques in AC Choppers 00:06:00 Module 4- Applications on AC Choppers 00:03:00 Module 5- Types of AC Choppers 00:02:00 Module 6- AC Chopper with R Load 00:14:00 Module 7- Example 1 on AC Chopper with R Load 00:06:00 Module 8- Example 2 on AC Chopper with R Load 00:04:00 Module 9- AC Chopper with L Load Part 1 00:13:00 Module 10- AC Chopper with L Load Part 2 00:06:00 Module 11- Example on AC Chopper with L Load 00:08:00 Module 12- AC Chopper with RL Series Load 00:20:00 Module 13- Example on AC Chopper with RL Series Load 00:07:00 Module 14- AC Chopper with RL Parallel Load 00:25:00 Module 15- Example on AC Chopper with RL Parallel Load 00:06:00 Module 16- AC Chopper with Pure Capacitive Load 00:14:00 Module 17- Example on AC Chopper with Pure Capacitive Load 00:04:00 Module 18- AC Chopper Loaded by Heavy Rectifier 00:06:00 Module 19- AC Chopper Loaded by an AC Motor with Sinusoidal Back Emf 00:12:00 Module 20- Example on AC Chopper Loaded by an AC Motor with Sinusoidal Back Emf 00:08:00 Module 21- Integral Cycle Control 00:11:00 Module 22- Example on Integral Cycle Control 00:04:00 Unit 4- Fundamentals of DC Choppers Module 1- Introduction to DC Choppers 00:02:00 Module 2- Definition and Application of DC Choppers 00:05:00 Module 3- Step down DC Chopper with R Load 00:12:00 Module 4- Example on Step Down DC Chopper with R Load 00:08:00 Module 5- Generation of Duty Cycle 00:09:00 Module 6- Switching Techniques 00:03:00 Module 7- Step Down DC Chopper with RLE Load Part 1 00:19:00 Module 8- Step Down DC Chopper with RLE Load Part 2 00:15:00 Module 9- Example 1 on Step Down DC Chopper with RLE Load 00:13:00 Module 10- Example 2 on Step Down DC Chopper with RLE Load 00:02:00 Module 11- Step Up DC Chopper with R or RL Load 00:09:00 Module 12- Step Up DC Chopper with RE Load 00:15:00 Module 13- Example on Step Up DC Chopper with RE Load 00:20:00 Module 14- Buck Regulator Part 1 00:16:00 Module 15- Buck Regulator Part 2 00:17:00 Module 16- Example on Buck Regulator 00:03:00 Module 17- Boost Regulator 00:23:00 Module 18- Example on Boost Regulator 00:06:00 Module 19- Buck Boost Converter 00:17:00 Module 20- Example on Buck-Boost Converter 00:05:00 Unit 5- Fundamentals of Inverters Module 1- Introduction to Inverters 00:02:00 Module 2- Definition of Inverters 00:04:00 Module 3- Importance and Applications of Inverters 00:08:00 Module 4- Single Phase Half Bridge R-Load 00:15:00 Module 5- Single Phase Half Bridge RL- Load 00:08:00 Module 6- Performance Parameters of an Inverter 00:05:00 Module 7- Example on Single Phase Half Bridge 00:10:00 Module 8- Single Phase Bridge Inverter R- Load 00:06:00 Module 9- Single Phase Bridge Inverter RL- Load 00:07:00 Module 10- Example on Single Phase Bridge Inverter 00:06:00 Module 11- Three Phase Inverters and Obtaining the Line Voltages 00:15:00 Module 12- Three Phase Inverters and Obtaining The Phase Voltages 00:17:00 Module 13- Example on Three Phase Inverters 00:16:00 Module 14- Single Pulse Width Modulation 00:13:00 Module 15- Multiple Pulse Width Modulation 00:13:00 Module 16- Example on Multiple Pulse Width Modulation 00:04:00 Module 17- Sinusoidal Pulse Width Modulation 00:16:00 Module 18- Industrial Inverter 00:03:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Unleashing the Power of Deep Learning: Mastering Neural Network with R Dive into the fascinating realm of artificial intelligence with our course, 'Deep Learning Neural Network with R.' Imagine a world where machines learn and make decisions, mimicking the intricacies of the human brain. This course is your gateway to unlocking the secrets of deep learning, focusing on neural networks implemented using the versatile R programming language. Immerse yourself in hands-on projects, from creating single-layer neural networks for agriculture analysis to mastering multi-layer neural networks for predicting deaths in wars. The journey begins with reviewing datasets and creating dataframes, leading you through running neural network code and generating insightful output plots. Join us in this captivating exploration, where coding meets creativity, and algorithms come to life. Learning Outcomes Master the fundamentals of single-layer neural networks, gaining the skills to analyze agricultural datasets effectively. Acquire proficiency in implementing multi-layer neural networks, specifically tailored for predicting outcomes in complex scenarios like deaths in wars. Develop hands-on experience in creating and manipulating dataframes for enhanced data analysis. Gain a deep understanding of neural network syntax, commands, and code execution in the R programming language. Hone your ability to generate meaningful output plots, transforming raw data into visually compelling insights. Why choose this Deep Learning Neural Network with R 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 Deep Learning Neural Network with R course for? Aspiring data scientists and analysts eager to delve into the world of deep learning. R programming enthusiasts looking to enhance their skills with practical applications. Students and professionals in computer science, statistics, or related fields. Individuals seeking to understand the implementation of neural networks in real-world scenarios. Anyone fascinated by the intersection of coding, data analysis, and artificial intelligence. Career path Machine Learning Engineer: £40,000 - £70,000 Data Scientist: £35,000 - £60,000 Artificial Intelligence Researcher: £45,000 - £80,000 Research Scientist (Machine Learning): £50,000 - £90,000 Data Analyst (AI/ML): £30,000 - £55,000 Senior AI Developer: £60,000 - £100,000 Prerequisites This Deep Learning Neural Network with R does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Deep Learning Neural Network with R 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. Course Curriculum Section 01: Single Layer Neural Networks Project - Agriculture (Part - 1) Reviewing Dataset 00:14:00 Creating Dataframes 00:09:00 Generating Output 00:12:00 Section 02: Single Layer Neural Networks Project - Agriculture (Part - 2) Running Neural Network Code 00:11:00 Importing Dataset 00:09:00 Neural Network Plots for Hidden Layer 1 00:08:00 Section 03: Multi-Layer Neural Networks Project - Deaths in wars (Part - 1) Syntax and Commands for MLP 00:11:00 Running the Code 00:08:00 Testing for Dataframes 00:13:00 Predict Results 00:08:00 Section 04: Multi-Layer Neural Networks Project - Deaths in wars (Part - 2) Creating R Folder 00:14:00 Generating Output Plot 00:12:00 Testing and Predicting the Outputs 00:16:00