Nvivo Masterclass OFFICIAL: Qualitative Analysis Using Nvivo

This course takes you through the basic elements of building a physically based quadrotor drone simulation, and introduces elements of control theory, such as the feedback loop and PID controllers. You will learn about representing rotation in 3D space using rotation matrices, quaternions and Euler angles. You will learn to implement a discrete-time PID controller, and an entire PID-based controller structure for attitude and position control for non-aggresive flight. You will be provided with a reference implementation in Python to experiment with.

If you want to analyze your own data or need to work in a research team that uses IBM's SPSS software, then this course is for you.From the import of data, through descriptive statistics, data visualization, correlation, the comparison of means, and the analysis of categorical variables, this course will leave you familiar with the user interface and able to conduct all of the most common statistical tests.

Welcome to the ASQ CRE Mock Practice Exam course! This course is specifically designed to prepare you thoroughly for the ASQ Certified Reliability Engineer (CRE) exam. It provides an in-depth review of the key reliability engineering concepts and practices that are critical for passing the exam.In this course, you will find four unique mock exams, each meticulously crafted to mirror the format and difficulty of the actual ASQ CRE exam. These practice exams are designed to help you familiarize yourself with the exam structure, refine your problem-solving skills, and build confidence in your ability to tackle real exam questions. By simulating the exam experience, these mocks will allow you to test your knowledge, understand your strengths and weaknesses, and improve your performance under timed conditions.The ASQ CRE exam tests your ability to apply reliability engineering principles to real-world scenarios, and this course will help you achieve just that. You will gain practical experience with a range of topics including reliability prediction, risk analysis, and reliability testing, all of which are essential for the exam.Whether you're a reliability engineer, quality professional, or someone looking to advance your career, this course provides the comprehensive preparation you need. With dedicated practice and the insights gained from these mock exams, you’ll be well-equipped to approach the ASQ CRE exam with confidence. Start your journey towards certification success and elevate your expertise in reliability engineering today!

This quiz is developed to assess students’ foundational understanding of the Internet of Things (IoT). It focuses on key elements such as IoT gateways, core communication protocols, and essential components that form the backbone of IoT systems. By participating, learners will gain exposure to widely used IoT protocols like CoAP (Constrained Application Protocol) and MQTT (Message Queuing Telemetry Transport), helping them understand how these protocols support efficient and secure data exchange between connected devices.The quiz is aligned with the Internet of Things Foundation (IoTF) certification framework, covering the basic concepts, industry terminology, and structural architecture of IoT. It also addresses the broader business perspective, including the strategic benefits of early adoption, potential revenue models, and the growing impact of IoT across industries. Learners will explore the technologies that enable IoT—such as sensors, actuators, networks, and platforms—while also being introduced to challenges like security, scalability, and interoperability.Updated in May 2025, the content reflects current trends and standards in the IoT field. This quiz serves as both a diagnostic tool and a stepping stone for further study or certification preparation. It is especially beneficial for students and early learners looking to validate their knowledge and build confidence as they progress toward more advanced IoT topics or professional credentials.

Climatology and Meteorology is a field of study on climate, to study the climate, we know how we can predict the weather and forecasting, If we can grasp the laws of climate we can benefit the economy and society. The resident that do laundry every day is inseparable from climate condition, as well the same as farmer, the construction worker, the seafarer, the fisherman, the miner, the traveler, the journalist, also the aviation flight that pilot the plane are closely relate to the climate condition. Climatology and Meteorology is a young science, It may not be 100% accurate to predict the climate, but if we can improve the technology, theory, and various issue of climate, we can avoid the disastrous weather from mankind , it may not be 100% accurate neither, it is not 0% accurate, so it is possible to predict the upcoming weather change if we can properly grasp the law of climate.For example temperature, humidity, atmosphere ,the theory of the climate behaviour, wind speed, wind direction, climate element, and other’s climate change are effect to our daily life, If we can grasp the law of these climate change, we are enable to serve mankind and set a freedom from nature.This is climatology and meteorology course to get to know about as much as everything about Climate. It will benefit you to get to know the science of weather and be prepare for the upcoming future. In further case Meteorology use their perspective instrument to test the climate.In this course will be podcastingWord, images and videos resources will be combine in video with no face revealance.Note: This is 20th century information.

This course is designed for beginners interested in learning statistics. It introduces fundamental concepts and incorporates practical examples to present simple, useful methods for summarizing and comparing data sets. The course also prepares students for future intermediate-level statistics topics by building a strong foundation in basic statistical thinking and analysis.Throughout the course, students will not only learn formulas but also understand the logic behind them. Emphasis is placed on understanding why methods work, when to use them, and how to explain findings clearly to others.Topics include:What is statistics: Descriptive statistics and Inferential statisticsProbability vs. statisticsSampling methods: random sample, convenience sample, and voluntary samples...Comparing data sets by center and variabilityUnderstanding and calculating sample mean, sample variance, and sample standard deviationThe relationship and differences between population variance and sample varianceFive number summary of data, learn about your data.The course designer is a university instructor who has been teaching statistics courses for seven years, with extensive experience in helping students grasp complex concepts and apply statistical thinking in real-world scenarios. The course has been carefully structured using plain, accessible language. It includes plenty of practical examples, along with clear and concise explanations, which help the audience easily understand, retain, and apply the material confidently.