467 Courses

Overview In the realm of public health, Epidemiology in Public Health stands as the sentinel of population wellbeing. The UK's commitment to public health is evident, with the government allocating £3.9 billion to public health services in 2019/20. This Epidemiology in Public Health course unveils the intricate world of disease patterns and health determinants, equipping you with the tools to safeguard communities. As the UK faces evolving health challenges, from emerging infectious diseases to chronic conditions, the demand for skilled epidemiologists continues to rise. The Office for National Statistics reports that life expectancy improvements have slowed since 2011, highlighting the crucial need for epidemiological insights. This course delves into the core principles of Epidemiology in Public Health, from understanding disease occurrence to analysing outbreaks. You'll master the art of study design, measure risk with precision, and grasp the epidemiological concept of population. Join us in the pursuit of public health excellence, where Epidemiology in Public Health becomes your lens to view and transform the health landscape. Whether you're tracking epidemics or preventing diseases, this Epidemiology in Public Health course will be your cornerstone in shaping a healthier future. In this Epidemiology Course, you will: Sharpen your skills to help you advance your career. Acquire a comprehensive understanding of various related topics and tips from industry experts. Learn in-demand knowledge and skills in high demand among UK employers, which will help to kickstart your Epidemiology in Public Health Course career. Enrolling in the Epidemiology in Public Health Course can assist you in getting into your desired career faster than you ever imagined. So, without further ado, start now! Process of Evaluation After studying the Epidemiology course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Epidemiology course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Epidemiology is suitable for anyone aspiring to start a career in Epidemiology; even if you are new to this and have no prior knowledge on Epidemiology, this course is going to be very easy for you to understand.  And if you are already working in the Epidemiology field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Epidemiology course is a win-win for you in all aspects.  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 This Epidemiology course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Epidemiology 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 Epidemiology course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Module 01: Understanding Epidemiology Understanding Epidemiology 00:18:00 Module 02: Principles of Epidemiology Principles of Epidemiology 00:20:00 Module 03: Study Design Study Design 00:24:00 Module 04: Disease Occurrence Disease Occurrence 00:19:00 Module 05: Variation in Disease by Time, Place, and Person Variation in Disease by Time, Place, and Person 00:15:00 Module 06: Epidemics and Outbreaks Epidemics and Outbreaks 00:26:00 Module 07: Measures of Risk and Disease Prevention Measures of Risk and Disease Prevention 00:23:00 Module 08: Measures of Disease Frequency Measures of Disease Frequency 00:22:00 Module 09: Role of Epidemiology in Public Health Role of Epidemiology in Public Health 00:17:00 Module 10: The Epidemiological Concept of Population The Epidemiological Concept of Population 00:22:00 Assignment Assignment - Epidemiology 00:00:00

Duration 1 Days 6 CPD hours This course is intended for The course is appropriate for IT managers, architects or anyone who wants to understand the big picture of what Apache Hadoop brings to the enterprise. All levels of technology knowledge are welcome. In this course, students unveil Apache Hadoop, giving themselves a thorough understanding of what the technology is and how it would impact their organizations. In this course, students unveil Apache Hadoop, giving themselves a thorough understanding of what the technology is and how it would impact their organizations.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for IoT practitioners who are looking to improve their skills and knowledge of IoT security and privacy. This course is also designed for students who are seeking the CertNexus Certified Internet of Things Security Practitioner (CIoTSP) certification and who want to prepare for Exam ITS-110. Overview This program will validate that the candidate has the knowledge, skills, and abilities to secure network environments for IoT devices, analyze vulnerabilities and determine reasonable controls against threats, and effectively monitor IoT devices and respond to incidents. This course is designed for practitioners who are seeking to demonstrate a vendor-neutral, cross-industry skill set that will enable them to design, implement, operate, and/or manage a secure IoT ecosystem. Managing IoT Risks Map the IoT Attack Surface Build in Security by Design Securing Web and Cloud Interfaces Identify Threats to IoT Web and Cloud Interfaces Prevent Injection Flaws Prevent Session Management Flaws Prevent Cross-Site Scripting Flaws Prevent Cross-Site Request Forgery Flaws Prevent Unvalidated Redirects and Forwards Securing Data Use Cryptography Appropriately Protect Data in Motion Protect Data at Rest Protect Data in Use Controlling Access to IoT Resources Identify the Need to Protect IoT Implement Secure Authentication Implement Secure Authorization Implement Security Monitoring on IoT Systems Securing IoT Networks Ensure the Security of IP Networks Ensure the Security of Wireless Networks Ensure the Security of Mobile Networks Ensure the Security of IoT Edge Networks Ensuring Privacy Improve Data Collection to Reduce Privacy Concerns Protect Sensitive Data Dispose of Sensitive Data Managing Software and Firmware Risks Manage General Software Risks Manage Risks Related to Software Installation and Configuration Manage Risks Related to Software Patches and Updates Manage Risks Related to IoT Device Operating Systems and Firmware Promoting Physical Security Protect Local Memory and Storage Prevent Physical Port Access

Duration 4 Days 24 CPD hours This course is intended for This is an intermediate -level programming course, designed for experienced Java developers who wish to get up and running on developing well defended software applications. Familiarity with Java and JEE is required and real world programming experience is highly recommended. Ideally students should have approximately 6 months to a year of Java and JEE working knowledge. Overview Students who attend Attacking and Securing Java Web Applications will leave the course armed with the skills required to recognize actual and potential software vulnerabilities and implement defenses for those vulnerabilities. This course begins by developing the skills required to fingerprint a web application and then scan it for vulnerabilities and bugs. Practical labs using current tools and techniques provide students with the experience needed to begin testing their own applications. Students also gain a deeper understanding of how attackers probe applications to understand the runtime environment as well as find potential weaknesses. This course the introduces developers to the most common security vulnerabilities faced by web applications today. Each vulnerability is examined from a Java/JEE perspective through a process of describing the threat and attack mechanisms, recognizing associated vulnerabilities, and, finally, designing, implementing, and testing effective defenses. Practical labs reinforce these concepts with real vulnerabilities and attacks. Students are then challenged to design and implement the layered defenses they will need in defending their own applications. There is an emphasis on the underlying vulnerability patterns since the technologies, use cases, and methods of attack as constantly changing. The patterns remain the same through all the change and flux. This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in secure web application development, coding and design, coupling the most current, effective techniques with the soundest industry practices. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. This lab-intensive course provides hands-on Java / JEE security training that offers a unique look at Java application security. Beginning with penetration testing and hunting for bugs in Java web applications, you embrace best practices for defensively coding web applications, covering all the OWASP Top Ten as well as several additional prominent vulnerabilities. You will repeatedly attack and then defend various assets associated with fully functional web applications and services, allowing you to experience the mechanics of how to secure JEE web applications in the most practical of terms. Bug Hunting Foundation Why Hunt Bugs? Safe and Appropriate Bug Hunting/Hacking Scanning Web Applications Scanning Applications Overview Moving Forward from Hunting Bugs Removing Bugs Foundation for Securing Applications Principles of Information Security Bug Stomping 101 Unvalidated Data Broken Authentication Sensitive Data Exposure XML External Entities (XXE) Broken Access Control Bug Stomping 102 Security Misconfiguration Cross Site Scripting (XSS) Deserialization/Vulnerable Components Insufficient Logging and Monitoring Spoofing, CSRF, and Redirects Moving Forward with Application Security Applications: What Next? Making Application Security Real

Duration 4 Days 24 CPD hours This course is intended for This is an intermediate-level programming course, designed for experienced .Net developers who wish to get up and running on developing well defended software applications. Real world programming experience with .Net is required. Overview Students who attend Attacking and Securing .Net Web Applications will leave the course armed with the skills required to recognize actual and potential software vulnerabilities and implement defenses for those vulnerabilities. This course begins by developing the skills required to fingerprint a web application and then scan it for vulnerabilities and bugs. Practical labs using current tools and techniques provide students with the experience needed to begin testing their own applications. Students also gain a deeper understanding of how attackers probe applications to understand the runtime environment as well as find potential weaknesses. This course the introduces developers to the most common security vulnerabilities faced by web applications today. Each vulnerability is examined from a .Net perspective through a process of describing the threat and attack mechanisms, recognizing associated vulnerabilities, and, finally, designing, implementing effective defenses. Practical labs reinforce these concepts with real vulnerabilities and attacks. Students are then challenged to design and implement the layered defenses they will need in defending their own applications. There is an emphasis on the underlying vulnerability patterns since the technologies, use cases, and methods of attack as constantly changing. The patterns remain the same through all the change and flux. This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in secure web application development, coding and design, coupling the most current, effective techniques with the soundest industry practices. Our instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. This lab-intensive course provides hands-on .Net security training that offers a unique look at .Net application security. Beginning with penetration testing and hunting for bugs in .Net web applications, you thoroughly examine best practices for defensively coding web applications, covering all the OWASP Top Ten as well as several additional prominent vulnerabilities. You will repeatedly attack and then defend various assets associated with fully functional web applications and services, driving home the mechanics of how to secure .Net web applications in the most practical of terms. Bug Hunting Foundation Why Hunt Bugs? Safe and Appropriate Bug Hunting/Hacking Scanning Web Applications Scanning Applications Overview Moving Forward from Hunting Bugs Removing Bugs Foundation for Securing Applications Principles of Information Security Bug Stomping 101 Unvalidated Data Injection Broken Authentication Sensitive Data Exposure XML External Entities (XXE) Broken Access Control Bug Stomping 102 Security Misconfiguration Cross Site Scripting (XSS) Deserialization/Vulnerable Components Insufficient Logging and Monitoring Spoofing, CSRF, and Redirects Moving Forward with Application Security Applications: What Next? .NET Issues and Best Practices Making Application Security Real Time Permitting Topics Cryptography Overview .NET Cryptographic Services

Duration 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.

Welcome to 'Harmonize Your Limbic Life,' a transformative 7-day FREE program designed to nurture your emotional well-being. Dive into daily practices encompassing mindfulness, creative expression, nature connection, and more. Join me on this journey to cultivate a balanced and resilient limbic system, empowering you to navigate life with emotional harmony. Embrace the joy of self-discovery. Sign up now and embark on a week of self-care and transformation.