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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
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Enrolling in an Administration of Clinical Research course is essential in today's world, where clinical trials and medical advancements play a pivotal role in public health. The Administration of Clinical Research course curriculum covers comprehensive aspects of Clinical Research Administration, including clinical trial design, regulatory compliance, data management, and quality control. Learning Clinical Research Administration equips you with the skills to manage clinical trials effectively, ensuring that they are conducted ethically and efficiently. This knowledge is crucial for improving patient outcomes and advancing medical science. In your professional career, expertise in Clinical Research Administration opens up numerous job opportunities, particularly in the UK, where the demand for skilled professionals in this field is growing. The average salary for Clinical Research Administrators in the UK ranges from £35,000 to £50,000 per year, reflecting the value of this specialization. The sector of Clinical Research Administration is expanding, with a projected growth rate of around 6-8% annually, driven by the increasing need for innovative medical solutions and regulatory oversight. By mastering Clinical Research Administration, you enhance your employability and contribute to the advancement of medical research, making a significant impact on global health. Key Features: CPD Certified Administration of Clinical Research Course Free Certificate from Reed CIQ Approved Administration of Clinical Research Course Developed by Specialist Lifetime Access Course Curriculum Module 01: Introduction to Clinical Research Administration Module 02: Clinical Trial Design and Planning Module 03: Ethics and Regulatory Compliance Module 04: Institutional Review Boards (IRBs) and Ethics Committees Module 05: Data Management and Recordkeeping Module 06: Safety Reporting and Adverse Events Module 07: Clinical Trial Monitoring and Auditing Module 08: Study Site Management and Quality Control Module 09: Data Analysis and Reporting Module 10: The Future of Clinical Research Learning Outcomes: Master clinical trial design strategies for optimal planning. Navigate ethical and regulatory frameworks with confidence and precision. Implement robust data management systems for seamless recordkeeping. Ensure safety reporting protocols meet industry standards and requirements. Conduct thorough clinical trial monitoring and auditing processes effectively. Utilise site management techniques to uphold quality control standards impeccably. CPD 10 CPD hours / points Accredited by CPD Quality Standards Administration of Clinical Research 1:59:16 1: Module 1: Introduction to Clinical Research Administration Preview 14:32 2: Module 2: Clinical Trial Design and Planning 11:21 3: Module 3: Ethics and Regulatory Compliance 13:21 4: Module 4: Institutional Review Boards (IRBs) and Ethics Committees 10:04 5: Module 5: Data Management and Recordkeeping 11:32 6: Module 6: Safety Reporting and Adverse Events 10:12 7: Module 7: Clinical Trial Monitoring and Auditing 09:18 8: Module 8: Study Site Management and Quality Control 17:18 9: Module 9: Data Analysis and Reporting 09:17 10: Module 10: The Future of Clinical Research 10:21 11: CPD Certificate - Free 01:00 12: Leave A Review 01:00 Who is this course for? This Administration of Clinical Research course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Administration of Clinical Research. Moreover, this course is ideal for: Aspiring clinical research administrators seeking comprehensive knowledge. Healthcare professionals transitioning into clinical research roles. Individuals passionate about contributing to advancements in healthcare. Researchers eager to enhance their understanding of trial administration. Students pursuing careers in pharmaceuticals or healthcare management. Requirements There are no requirements needed to enrol into this Administration of Clinical Research course. We welcome individuals from all backgrounds and levels of experience to enrol into this Administration of Clinical Research course. Career path After finishing this Administration of Clinical Research course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Administration of Clinical Research are: Clinical Research Coordinator - £30K to £40K/year. Data Manager - £35K to £45K/year. Clinical Trial Auditor - £40K to £50K/year. Regulatory Affairs Specialist - £45K to £55K/year. Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.
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