Hypothesis Testing Made Easy

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Course Description:In this course, you will learn the modeling and simulation concepts of different power systems such as DC-DC converters and DC-AC inverters including multilevel inverters. You will learn to model the systems and design their controller (PID) in MATLAB/SIMULINK Environment. The course will teach you modelling of various systems and design different controllers for them. You will be able to learn the basic concepts of total harmonic distortion (THD), RMS and SIMSCAPE component modeling.----------Some highlights---------------1. Well explained theoretical concepts.2. Teaching with the flavour of hardware implementation3. Modeling techniques of real systems4. Simulink modeling of power systems.5. Designing and Analysis of different systemsWhat you’ll learnControl System BasicsSystem concept and applicationModeling and control of Buck ConverterModeling and control of Buck-Boost converterModeling and control of Fly-back ConverterModeling and control of single phase invertersSPWM modeling technique of invertersModeling and control of 3-phase invertersMultilevel inverter design in SIMULINKDesign of Inverters in SIMULINKAre there any course requirements or prerequisites?· MATLAB Software· Basics of MATLABWho this course is for:1) If you wanted to learn modeling of power systems, then you should take this course.2) If you are an engineering graduate in control, then you must take this course.3) If you are a Ph.D. research scholar, then you must take this course.4) If you are a control engineer and wanted to learn more about designing and simulation of power systems, then you should take this course.

In the "Exploring Generative AI" course, I teach a comprehensive curriculum designed to empower K12 students with cutting-edge knowledge and practical skills. This course starts with an engaging introduction to Generative AI, where students explore ChatGPT, learn effective interaction techniques, and even dive into custom GPT models and AI-powered visuals. Through hands-on exercises, they gain real-world experience with OpenAI Playground and advanced AI tools.The Communication module enhances students' public speaking, persuasive writing, and active listening skills, offering opportunities to practice through debates and role-playing. Memory techniques such as flashcards, mnemonics, visualization, and advanced strategies like the Loci Method and Dominic System are covered to boost academic performance.We delve into Everyday Productivity, teaching students how to manage study schedules, meal planning, focus sessions, and travel efficiently. The Presentation and Creatives module covers design principles, storytelling, and creating impactful visuals. Students also get hands-on with Robotics, learning coding, circuit design, and debugging using platforms like Replit.For those aiming for excellence, Competition Readiness and Research and Analytical Skills modules build critical thinking and problem-solving abilities. The Model United Nations (MUN) segment focuses on speechcraft, research, diplomacy, and role-playing, equipping students with leadership and negotiation skills.Finally, the Lateral Thinking module introduces innovative approaches to problem-solving, encouraging creative thinking and flexibility. This holistic course ensures students are not only tech-savvy but also well-rounded individuals, ready to excel in academic and real-world scenarios.

This course aims to give newbies and first-time users an introductory yet detailed overview of Stata's core features and capabilities and provide its students with plenty of hands-on experience on the best practices for writing reproducible routines (using do-files), organizing data analysis projects, understanding command syntax, inputting and outputting data and managing datasets in Stata.No matter if you are an undergraduate student who has just started using Stata, a graduate student who needs to have solid knowledge of the software's fundamental tools and capabilities or an experienced researcher who wants to use Stata to analyze your data, this course will take you by the hand and provide you with practical exercises (and answers) to lay a solid foundation and help you become a proficient user of Stata.* This course has subtitles in English and Portuguese.

Course Subtitle :Master Visual Inspection Techniques, QAQC Processes Weld Acceptance Criteria for Oil Gas, Refinery, and Piping IndustryThis course provides complete Level II training in Visual Testing (VT), including eye test requirements, VT tools, QAQC documentation, and welding acceptance criteria based on ASME B31.3 and Section V Article 9. It’s designed for those aiming to become certified QAQC engineers, NDT inspectors, or welding inspectors in Oil Gas, Refinery, Petrochemical, and Piping industries.Students will start by understanding visual inspection fundamentals, vision tests like Jaeger and Color Vision, and will move into tools such as weld gauges, pipe alignment tools, and digital measuring devices. This training also explains how to perform fit-up inspections, read weld joint designs, and document inspections in accordance with industry codes.You will also gain exposure to remote visual inspection (Boroscope), welding processes like GTAW, and key quality control processes. Acceptance criteria for welder qualification and welding quality are covered with detailed reference to ASME codes and tables.This course is highly practical, with real-time visual demonstrations, standard inspection forms, and instructor-led video lessons recorded for field-based applications.Whether you're a fresher, diploma holder, working professional, or job seeker preparing for Gulf country roles, this course will enhance your employability and technical understanding.

Power of Python programming from the ground up with this comprehensive Udemy course. Whether you're a beginner or have some programming experience, this course will guide you through the essentials and take you to advanced levels, covering practical applications with cutting-edge libraries.Key Highlights:Foundations of Python: Start with the basics, understanding variables, data types, control flow, and functions.Object-Oriented Programming (OOP): Delve into OOP principles, learning about classes, objects, inheritance, encapsulation, polymorphism, and abstraction.Advanced Libraries: Explore Python's advanced libraries, including but not limited to:Data Analysis: Utilize pandas and NumPy for powerful data manipulation and analysis.Database Management (DBMS): Learn to interact with databases using SQLite and SQLAlchemy.Automation: Master automation with librariesReal-world Projects: Apply your knowledge through hands-on projects, solidifying your skills and building a portfolio.Career Ready: Gain the skills sought by employers in data analysis, automation, and database management, making you job-ready.Whether you aspire to become a data analyst, automate repetitive tasks, or work with databases, this course equips you with the Python skills needed to succeed. Enroll now and embark on a journey from Python basics to advanced applications.Note: Prerequisite - Basic understanding of programming concepts is beneficial but not mandatory.include the latest Python features and best practices.