Advanced analysis of outliers in R and Matlab

INSTART is a 90-hour online comprehensive applied instrumentation training course which helps instrumentation and control students, technicians, and engineers upgrade their skills and learn everything required to get the best job opportunity in this field. The course, you are about to enroll in, was undertaken to give you a clear view of scientific and engineering topics in the field of Instrumentation through detailed examples using hands on demo and provide numerous problems with their solutions. It is worth mentioning that the course consists both theory and workshop sessions so you understand where the knowledge you’ve gained comes to use. The course can be watched 24/7 wherever you are. You can also view it on mobile devices with the Udemy mobile app.The course instructor is Farzad Lotfi, an experienced senior I C engineer/project manager that has worked on more than 15 projects in the steel, chemical, mine, and oil and gas industries and has trained more than 2500 engineers and technicians all over the world.We will be here for you every step of the way. If you have questions about the course content, you can always post your questions or send us a private message. It will be our pleasure to provide assistance and answer your questions.

A material requisition, also known as a materials requisition form, or a material request, is a document used by the production department to request materials they need to complete a manufacturing process.A requisition initiates the request for a specific action and also records that action for subsequent reporting needs. For example, employees within a company would use a purchase requisition if they needed additional supplies.A material requisition form is an official document that allows employees to request for necessary materials needed to perform their tasks at the workplace. With this form, employees can request various materials depending on the need and occasion.A requisition goes through approval processes based on amount and items ordered. After the requisition is approved it is sourced (dispatched) into a Purchase Order then sent to the appropriate vendor.A purchase requisition form is a document submitted by an employee to request the purchase of goods or services on behalf of the company. These purchases may be for business operations, inventory, or to manufacture supplies for sale. Submitting a purchase requisition form sets off the purchasing process.In this course, following items are explained in a systematic organized manner1. How the MRs are prepared2. What are the various components of Material Requisition3. What are various technical requirements which need to be covered4. What are the technical check points (TBE)5. How the required data information are mentioned6. Various attachments to share the complete requirements

This course covers the fundamentals of the design and analysis of experiments (DoE).Experimentation plays an important role in science, technology, product design and formulation, commercialization, and process improvement. A well-designed experiment is essential once the results and conclusions that can be drawn from the experiment depend on the way the data is collected.This course is about planning and conducting experiments and about analysing the resulting data in a way that valid and objective conclusions are obtained.The course begins with some basic statistics concepts to understand the fundamentals of hypothesis testing and analysis of variance. Then we introduce the idea of factorial designs, with the definition of effects and interactions between factors. The following sections will focus on the widely used 2-level factorial designs. We will cover full homogeneous designs, blocked designs, and fractional designs. The whole course is illustrated with practical examples to help with understanding.The course focuses on the understanding of the principles used in the design of experiments and on the critical analysis and discussion of the results.The analysis of the data will use MS Excel and R-Studio. Although this is not an R course, even students that are not familiar with R can enrol in it. The R codes used can be downloaded, the functions will be briefly explained, and the codes can be easily adapted to analyse the student’s own data.Any person who performs experiments will benefit from this course.By the end of this course, the student will be able to:- Choose the most suitable experimental design;- Analyse the experimental data with confidence;- Present and discuss the results based on charts, contour plots, and tables.

The Naan Mudhalvan Generative AI Practice Tests 2026 course is designed to help students prepare confidently for the official Naan Mudhalvan AI Skills assessment. This course includes 6 comprehensive practice exams containing 360+ unique multiple-choice questions, carefully created according to the latest official syllabus.The practice tests cover all five major learning units, including Generative AI Fundamentals, ChatGPT, OpenAI, Python Programming, Natural Language Processing (NLP), Cloud Computing, APIs, Prompt Engineering, AI Ethics, Deployment, and AI Project Development. Every question is designed to reflect the style and difficulty level expected in the official assessment.Instead of simply memorizing answers, students will strengthen their understanding through concept-based, scenario-driven, and application-oriented questions. Each practice test is timed to simulate the real examination environment, helping learners improve their speed, confidence, and accuracy.The final mock examination combines questions from all five units to provide a complete assessment experience. Whether you are studying in an Engineering College, Arts Science College, or Polytechnic under the Naan Mudhalvan initiative, this course serves as an excellent revision resource before your university assessment.If your goal is to score higher, identify knowledge gaps, revise efficiently, and become confident in Generative AI concepts, these practice tests will help you achieve that objective.Start practicing today and get exam-ready with one of the most comprehensive Naan Mudhalvan AI practice test collections available.

Organisations, governments, law enforcement agencies, and enterprises are looking for individuals who are able to investigate digital occurrences, recover evidence, and support cyber security operations. This is because the rate at which cybercrime is rising is unparalleled. In the 21st century, one of the most fascinating and fulfilling career options is digital forensics, which has arisen as one of the professional opportunities.Learners will be introduced to the interesting field of digital forensics through the lessons in this course. Participants will research the processes that are used to investigate cybercrimes, the methods that are used to acquire and analyse digital evidence, and the skills that are necessary to develop a successful career in this quickly increasing profession.This course will offer you with a solid foundation for understanding digital investigations and the future of cybercrime analysis, regardless of whether you are a student, an instructor, an IT professional, a cyber security enthusiast, or someone who is changing careers.The Outcomes of LearningAfter completing this course, students will be able to do the following:A comprehensive understanding of the fundamentals of Digital Forensics, including the identification of various types of cybercrimes, the explanation of the digital investigation process, the comprehension of evidence acquisition and preservation, the exploration of forensic tools and technologies, the knowledge of mobile, cloud, and network forensics, the comprehension of legal and ethical considerations, the exploration of certifications and career opportunities, and the development of a roadmThe Intended Audience* Students, both in High School and CollegeThose Who Are Passionate About CybersecurityThose who are learning computer scienceInformation Technology ProfessionalsThose who teachCareer Guidance CounsellorsFuture Cyber Security Analysts in the Making<

Prepare for the PSM-AI™ Essentials certification with a complete set of six realistic practice tests designed to help you build confidence, identify knowledge gaps, and approach the final exam with a clear strategy.This course is ideal for Scrum Masters, Agile Coaches, Product Owners, Developers, and Agile professionals who want to validate their understanding of how artificial intelligence can be used effectively, responsibly, and ethically within Scrum environments.Across six carefully structured practice tests, you will assess your knowledge of key PSM-AI topics, including Scrum principles, generative AI, prompt engineering, AI-assisted decision-making, ethical risks, bias, privacy, security, output validation, and human oversight.Each question is supported by a detailed explanation that helps you understand not only why the correct answer is right, but also why the other options are less appropriate. This allows you to learn from every question, reinforce important concepts, and avoid common mistakes during the real certification assessment.These practice tests are designed to simulate the type of reasoning required in the PSM-AI Essentials exam. They will help you improve your ability to analyse practical situations, choose the most appropriate response, and distinguish between responsible AI support and poor AI usage.By completing all six tests, reviewing the explanations, and repeating the assessments when necessary, you will develop a stronger and more structured understanding of the exam topics.Use this course to:Evaluate your current level of preparationIdentify the topics that require further revisionStrengthen your understanding of AI in ScrumPractise under realistic exam-style conditionsImprove your speed, accuracy, and confidencePrepare for the certification assessment with a clear study planDo not leave your preparatio