ASNT MT Level III Study Guide
التصنيف الكامل: Teaching & Academics > Engineering > Nondestructive Testing (NDT)

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Statistical Analysis Tutorials in Jamovi (Free Software)
Unlock the Power of Data with JamoviMaster the tools, build confidence, and think like a statisticianUnlock the power of data with Jamovi, a free and beginner-friendly statistical software that makes data analysis accessible to everyone. This hands-on course guides you step by step through essential statistical techniques — no prior experience required. Whether you’re a student, researcher, professional, or aspiring statistician, you’ll gain the practical skills to analyze real data and draw meaningful conclusions.In this course, you will learn how to:Explore and summarize data using descriptive statistics, tables, and visualizations to uncover insights at a glance.Measure relationships between variables using correlation analysis to identify meaningful associations.Run independent-samples and paired-samples t-tests to compare group means and determine significant differences.Perform ANOVA to examine differences across multiple groups and understand complex relationships.Build and interpret regression models — from simple to multiple linear regression — to predict outcomes, identify key factors, and make data-driven decisions.More than just running testsYou’ll go beyond clicking buttons — learning how to interpret results correctly, visualize data effectively, and communicate findings professionally. Jamovi’s intuitive, drag-and-drop interface eliminates the need for coding or expensive software, making this course ideal for anyone ready to explore the world of statistics.The Mini Statistician’s Exam: Your Final ChallengeAs the culmination of your learning journey, you’ll take on The Mini Statistician’s Exam — a capstone exercise inspired by real questions from the instructor’s own

NoSQL and MongoDB with Hands-On Practice for Beginners
This course provides a complete and structured introduction to NoSQL databases and MongoDB, designed for beginners as well as learners transitioning from traditional relational databases. You will start by understanding the limitations of traditional RDBMS systems and the need for NoSQL databases in modern, scalable applications.The course begins with core NoSQL concepts such as architecture, sharding, replica sets, and the CAP theorem. You will then move into MongoDB fundamentals, learning why MongoDB is widely used in industry and how it supports scalability, high availability, and flexibility. Each concept is explained clearly with practical examples to ensure strong conceptual understanding.As the course progresses, you will gain hands-on experience with MongoDB operations including creating databases and collections, inserting documents, querying data using find methods, updating and deleting records, and sorting and limiting results. Advanced topics such as schema validation, query operators, update operators, array operators, and aggregation pipelines are covered in detail.You will also learn about indexing, different types of indexes, arithmetic, conditional, string, and date operators, capped collections, and bucket operations. The course includes practical demonstrations using MongoDB Atlas, helping you understand the difference between local and cloud databases. Finally, you will learn how to connect a Node.js application to MongoDB, preparing you for real-world development scenarios.By the end of this course, you will have the confidence to design, query, and manage MongoDB databases and apply NoSQL concepts in academic, project-based, or professional environments.

FRM Part 1 - Book 3 - Financial Markets and Products (2/2)
In this course, Prof. James Forgan, PhD summarizes the last 11 chapters from the Financial Markets and Products book so you can learn or review all of the important concepts for your FRM part 1 exam. James Forjan has taught college-level business classes for over 25 years. This course includes the following chapters:12. Options Markets13. Properties of Options14. Trading Strategies15. Exotic Options16. Properties of Interest Rates17. Corporate Bonds18. Mortgages and Mortgage-backed Securities19. Interest Rate Futures20. SWAPS

Buried or Underground Piping Stress Analysis using Caesar II
Buried or Underground pipe and pipeline stress analysis course covers the step-by-step methodology for performing the analysis in Caesar II software. The candidate will learn the methods for modeling the pipe/pipeline with proper inputs, create load cases depending on the code requirements, analyze the system, and finally review the results to decide if the system is acceptable or any changes are to be made.Moreover, the course also covers a brief about buried piping, what it means, different types of underground piping and pipeline systems, and their applications.If you are a starter into the piping and pipeline stress analysis domain and are just learning the basics of pipe and pipeline stress analysis then this course is just perfect for you. You will learn which inputs are required for buried analysis in Caesar II. From where to get or collect those data for inputting into the Caesar ii input spreadsheet. Then you will learn how to convert an above-ground piping system into the underground model, create analysis load cases and finally perform the analysis to find out the results.The main objective of the buried pipe stress analysis is to ensure that the calculated stresses based on the relevant code in Caesar II software are well within the allowable values.

Data Integrity & ALCOA+ in Pharma -Practical Approach
Are you working in Pharma and afraid of audits, deviations or data integrity issues?This course shows how QA professionals handle ALCOA+ requirements in real GMP situations.Data Integrity is one of the most critical and most inspected topics in the pharmaceutical industry today.Regulatory authorities such as FDA, EMA and MHRA expect companies not only to understand ALCOA+ principles, but to apply them consistently across daily GMP activities.This course provides a practical, real-life approach to Data Integrity and ALCOA+, based on real QA, QC, laboratory and computerized system experience - not theory alone.You will learn how Data Integrity principles are applied throughout the entire data lifecycle: from data generation, recording and processing, through review, approval, audit trail review, archiving and inspection readiness. The course explains how Data Integrity applies to paper records, electronic systems and hybrid processes, with clear examples from laboratories, manufacturing environments and computerized systems.Special focus is given to common Data Integrity failures, how regulators identify them during inspections, and how organizations are expected to respond. You will understand how to recognize early warning signs, how to document issues correctly, and how to manage deviations, investigations and CAPA related to Data Integrity.The course also covers data governance, roles and responsibilities, audit trail review, data review practices, and inspection-ready documentation, aligned with GMP expectations and regulatory guidance.This course is designed to help you think like an inspector, understand regulatory logic, and confidently apply Data Integrity principles in your daily work — whether you work in QA, QC, laboratories, manufacturing or computerized systems.

Computer Organization and Architecture : Scratch to Advance
Course Objectives:CO1: Conceptualize the basics of organizational and architectural issues of a digital computer and Classify and compute the performance of machines, Machine Instructions.CO2: Learn about various data transfer techniques in digital computer and the I/O interfaces.CO3: Estimate the performance of various classes of Memories, build large memories using small memories for better performance and Relate to arithmetic for ALU implementation.CO4: Understand the basics of hardwired and micro-programmed control of the CPU, pipeline and architectures , Hazards and Superscalar Operations.COURSE OUTCOMES: 1. Understand the theory and architecture of central processing unit. 2. Analyze some of the design issues in terms of speed, technology, cost, performance. 3. Design a simple CPU with applying the theory concepts. 4. Use appropriate tools to design verify and test the CPU architecture. 5. Learn the concepts of parallel processing, pipelining and interprocessor communication. 6. Understand the architecture and functionality of central processing unit. 7. Exemplify in a better way the I/O and memory organization. 8. Define different number systems, binary addition and subtraction, 2’s complement representation and operations with this representation.Important information before you enroll!Once enrolled, you have unlimited, 24/7, lifetime access to the course (unless you choose to drop the course during the first 30 days).You will have instant and free access to any updates I'll add to the course - video lectures, additional resources, quizzes, exercises.You will benefit from my full support regarding any question you might have 7 days a week.Check out the promo video at the top of this page and some of the free
