In the ever-evolving landscape of healthcare IT in the UK, recent challenges have underscored the critical need for skilled professionals. The CompTIA Healthcare IT Technician course offers a comprehensive solution to address these issues head-on. With a curriculum designed to equip you with a robust skill set, this course seamlessly integrates CompTIA Network, A+, CySA+, PenTest+, Cloud+, ITF+, Security+, GDPR Training, and more. From mastering the intricacies of network security to delving into machine learning basics, this CompTIA Healthcare IT Technician course empowers you with a diverse skill set crucial for today's IT challenges. This CompTIA Healthcare IT Technician Bundle Consists of the following Premium courses: Course 01: CompTIA Healthcare IT Technician Course 02: CompTIA Network Course 03: Diploma in CompTIA A+ Course 04: CompTIA CySA+ Cybersecurity Analyst Course Course 05: CompTIA PenTest+ (Ethical Hacking) course Course 06: CompTIA Cloud+ (CV0-002) Course 07: CompTIA ITF+ (FCO-U61) Course 08: CompTIA Security+ Course 09: CompTIA Network+ Certification (N10-007) Course 10: GDPR Training Course 11: Introduction to Computers and Internet for Beginners Course 12: Data Science and Visualisation with Machine Learning Course 13: Machine Learning Basics Course 14: Excel Add-in with C# VSTO and Web Course 15: SQL Database Administrator Course 16: Computer Operating System and Troubleshooting Course 17: Web Application Penetration Testing Course Course 18: Wordpress Web Development Course 19: Computer Science with Python Course Course 20: International Healthcare Policy 10 Extraordinary Career Oriented CompTIA Healthcare IT Technician courses that will assist you in reimagining your thriving techniques- Course 01: Effective Communication Skills Diploma Course 02: Business Networking Skills Course 03: Influencing and Negotiation Skills Course 04: Delegation Skills Training Course 05: Time Management Course 06: Leadership Skills Training Course 07: Decision Making and Critical Thinking Online Course Course 08: Emotional Intelligence and Social Management Diploma Course 09: Assertiveness Skills Course 10: Touch Typing Complete Training Diploma Learning Outcomes of CompTIA Healthcare IT Technician: Upon completion of this CompTIA Healthcare IT Technician bundle, you should be able to: Implement advanced network security measures for healthcare infrastructures. Analyze and counter cybersecurity threats with precision. Conduct ethical hacking and penetration testing for web applications. Master the complexities of GDPR compliance in healthcare settings. Develop expertise in cloud computing within healthcare frameworks. Demonstrate proficiency in machine learning for data analysis in healthcare. As technology becomes the heartbeat of healthcare, this CompTIA Healthcare IT Technician course ensures you're at the forefront of innovation. Unleash your potential in web application penetration testing, hone your WordPress web development skills, and navigate the world of data science with confidence. Whether you're troubleshooting computer operating systems or safeguarding networks through ethical hacking, this course primes you for success in the dynamic healthcare IT arena. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? IT professionals aspiring to specialize in healthcare technology. Individuals keen on advancing their skills in ethical hacking. Tech enthusiasts seeking expertise in cloud computing and cybersecurity. Data enthusiasts interested in applying machine learning in healthcare. Those desiring to excel in network administration and troubleshooting. Individuals looking to carve a niche in web application development. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Requirements To participate in this CompTIA Healthcare IT Technician course, all you need is - A smart device A secure internet connection And a keen interest in CompTIA Healthcare IT Technician Career path CompTIA Healthcare IT Technician - •45,000 Cybersecurity Analyst - •50,000 Penetration Tester - •55,000 Cloud Solutions Architect - •60,000 Data Science Analyst - •50,000 Network Administrator - •40,000 Certificates CPD Accredited Certificate Digital certificate - Included CPD Accredited e-Certificate - Free CPD Accredited Hardcopy Certificate - Free Enrolment Letter - Free Student ID Card - Free
Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization. Overview After completing this course delegates will be capable of writing effective R code to manipulate, analyse and visualise data to enable their organisations make better, data-driven decisions. This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualisation in R. Course Outline Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. The R programming language is one of the most powerful and flexible tools in the data analytics toolkit. This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualisation in R. Mastery of these techniques will allow delegates to immediately add value in their work place by extracting valuable insight from company data to allow better, data-driven decisions. The course will explore the following topics through a series of interactive workshop sessions: What is R? Basic R programming conventions Data structures in R Accessing data in R Descriptive statistics in R Statistical analysis in R Data manipulation in R Data visualisation in R Additional course details: Nexus Humans Beginning Data Analytics With R 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 Beginning Data Analytics With R 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.
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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
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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OVERVIEW Prerequisites—DIAD training and Advanced Data Modeling and Shaping training or equivalent working experience This course has been designed specifically for experienced model developers and gives a more advanced treatment of DAX formulas than either DIAD or the PL-300 course. We recommend that attendees have prior experience working with Power BI Desktop to create data models. During this course you will review: Writing DAX formulas. Defining calculated tables and columns. Defining measures. Using DAX iterator functions. Modifying filter context. Using DAX time intelligence functions. After completing this training, the attendees should be able to work with Data Analysis Expressions (DAX), perform calculations and define common business calculations for use in reports, address performance and functionality concerns. COURSE BENEFITS: Understand Analytic queries in Power BI Create calculated tables, calculated columns and measures Use DAX functions and operators to build DAX formulas Use DAX iterator functions Create formulas that manipulate the filter context Use DAX time intelligence functions WHO IS THE COURSE FOR? Analysts with experience of Power BI wishing to develop more advanced formulas in DAX Power BI developers who wish to deepen their understanding of the process of calculating formulas so as to make development faster and more reliable LAB OUTLINE Lab 1 Setup Connect to data and understand the objectives of the future labs Lab 2 Write DAX Formulas For Power BI Create a measure Use variables in the measure definition Lab 3 Add Calculated Table And Columns Duplicate a table Create a hierarchy Create a date table Add calculated columns Lab 4 Add Measures To Power BI Desktop Models Add an implicit measure to a report Add an explicit measure Add a compound measure Add a quick measure Lab 5 Use DAX Iterator Functions In A Power BI Desktop Model Complex summarization Higher grain summarization Create ranking measure Lab 6 Modify DAX Filter Context In Power BI Desktop Models Apply Boolean expression filter Remove filters: use ALL Remove filters: use AllSelected Preserve filters: use KeepFilters HASONEVALUE ISINSCOPE Context transition Lab 7 Use DAX Time Intelligence Functions In Power BI Desktop Models TOTALYTD SAMEPERIODLASTYEAR Calculate new occurrences Snapshot calculations
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