Power BI Data Visualization and Dashboard Tips, Tricks, and Techniques (2025)
Power BI Data Visualization and Dashboard Tips, Tricks, and Techniques (2025)
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Released: 05/2025
Duration: 3h 9m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 430 MB
Level: Intermediate | Genre: eLearning | Language: English
Power BI is a software that lets users visualize and report data flexibly and share it in a number of ways. Affordable and well-integrated with other Microsoft tools, it's rapidly gaining market share. In this course, instructor Emma Saunders shows you how you can use Power BI to create reports and visualizations with flair and share them easily with colleagues. Emma explains the Power BI app (desktop) and service (web browser). She takes you through a sample report to show how it's built, then goes over how and why to design and structure a report, including how to structure tabs, how many visuals to put on a page, and how to draw attention to one visual over another. Emma covers more advanced visuals, as well, including statistical diagrams and maps for geographic data. She walks you through how to design reports like a pro in the Power BI service, from basic layouts to choosing specific themes and fonts.
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https://www.linkedin.com/learning/power-bi-data-visualization-and-dashboard-tips-tricks-and-techniques
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Python Mastery Zero To Hero With 20+ Real-World Projects
Python Mastery: Zero To Hero With 20+ Real-World Projects
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Published 5/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 103.02 MB | Duration: 0h 32m
Level Up Your Python Skills with Hands-On Projects
What you'll learn
Python Constants
Advanced Object-Oriented Programming
Magic Methods (__str__, __repr__, __call__, etc.)
Operator Overloading
Duck Typing
List, Dictionary Comprehensions
Code Organization and Readability
Writing Pythonic Code (Idioms, enumerate(), zip(), *args, **kwargs)
lambda Function With Real Life Examples
Real Life Examples And Projects
Requirements
Good understanding of basic Python (variables, if-else, loops, functions, classes .. etc )
Willingness to dive deep into advanced concepts
Description
** Why This Course?** Most Python courses teach syntax-**this one teaches professional engineering.** You'll learn: **What actually matters** for jobs and real codebases (not just toy examples) **Advanced patterns** senior developers use daily (OOP, magic methods, optimization) **How to debug and refactor** like a pro (DRY, good vs bad code analysis) **15 portfolio-ready projects** that prove your skills (not just exercises) **"This is the missing manual for self-taught programmers who want to level up."** - Previous student --- ** What You'll Master** **Core Advanced Skills:** Dynamic typing & duck typing *(write flexible code)* Magic methods & operator overloading *(make your classes intuitive)* Recursion vs iteration *(when to use each for performance)* Walrus operator & modern Python tricks *(write concise code)* Professional Habits: DRY principles (avoid repetitive code) Dictionary/list best practices (comprehensions, sorting, pretty output) Call by reference vs value (debug tricky bugs faster) Real-world debugging (any()/all(), lambda functions, args/kwargs) Includes: Code templates, cheat sheets, and interview-ready project solutions Who Is This For? You know Python basics (loops, functions, lists) but want depth You're self-taught and have gaps in "why Python works this way" You're job-hunting and need advanced Python for interviews You maintain legacy code and want to refactor like a pro Not for: Absolute beginners (we start where intro courses end) How This Course Will Pay for Itself1. **Land higher-paying jobs**: Advanced Python skills command **+$20k/year** (Glassdoor) 2. **Save hundreds of hours**: Stop Googling solutions-understand core concepts permanently 3. **Build a portfolio** that stands out (github-ready projects included) 4. **Skip the "tutorial loop"**-learn what matters in **just 15 hours** (not 50+) "The walrus operator section alone saved me 3 hours/week in code reviews!" - Student working at a SaaS startup Enroll Now and Unlock Your Python Potential!Today you get: +20 real-world projects with solution videos Downloadable Python Pro Cheat Sheet (OOP, magic methods, optimizations) --- Ready to Become a Python Pro? Click "Enroll Now" to: 1. Stop feeling stuck in intermediate tutorials 2. Write code that impresses senior engineers 3. Finally understand** Python's "magic" (like `__str__` vs `__repr__`)
Overview
Section 1: Python Essentials: Core Syntax & Clean Coding Techniques
Lecture 1 Constants Best Practice - Part #1
Lecture 2 Constants Best Practice - Part #2
Lecture 3 Swap (Variable swapping) - Part #1
Lecture 4 Swap (Variable swapping) - Part #2
Lecture 5 Ternary Statement (Conditional expressions)
Lecture 6 List Comprehension (Compact creation syntax) - Part #1
Lecture 7 List Comprehensions (Cleaning & Formatting Strings) - Part #2
Lecture 8 List Comprehensions (Smart Data Filtering) - Part #3
Intermediate Python developers ready to level up,Developers preparing for technical interviews,Professionals who want to write cleaner, faster, and more Pythonic code,Anyone passionate about mastering Python from the inside out
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Qa Interview Questions Top 100 Explained
Qa Interview Questions: Top 100 Explained
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Published 5/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 442.20 MB | Duration: 1h 49m
100 QA Interview Questions + Practice Tasks - Land Your First Testing Job!
What you'll learn
How to answer 100+ real QA interview questions
How to explain key testing concepts clearly
How to write test cases and bug reports
How to talk about Agile, API testing, and automation
How to prepare for soft-skill and technical questions
How to write simple SQL queries for testing
How to analyze API responses
How to feel confident in any QA interview
Requirements
Basic computer skills
Interest in software testing or QA
Motivation to learn and practice
Description
Welcome to the "100 QA Interview Questions + Practice Tasks" course - your complete guide to preparing for software testing interviews with real-world questions, in-depth explanations, and practical exercises.Whether you're just starting your career in software testing or preparing for your next job interview, this course gives you everything you need to feel confident and stand out as a QA candidate.What You'll Learn:The most common technical and behavioral interview questions for software testersHow to answer with confidence and clarity - including real-world explanations and examplesKey QA concepts like test cases, defect lifecycle, test types, automation, Agile, API testing, DevOps, and moreHow to explain your experience, projects, tools, and mindset as a testerPractical skills with hands-on tasks, such as writing test cases, SQL queries, reporting bugs, and analyzing API responsesPractice Tasks Include:Writing SQL queries based on real-world scenariosCreating structured, effective test casesLogging professional bug reports with clear steps and expected behaviorInterpreting API responses and identifying hidden issuesWhy Take This Course: Interview-ready preparation: Practice 100+ questions that cover real recruiter expectations Real explanations: Understand why certain answers work - not just memorize them Gain practical experience: Combine theory with real QA tasks Flexible learning: Take it at your own pace and revisit whenever you need Job-focused: Created by a QA expert who knows what employers actually look forWhether you're preparing for your first QA job, aiming to switch roles, or just want to sharpen your confidence before an interview, this course will help you turn knowledge into real interview performance - and skill into opportunity.Enroll now and get ready to land your next software testing job with confidence!
Overview
Section 1: Introduction
Lecture 1 About instructor
Section 2: Testing Basics
Lecture 2 What is the difference between verification and validation?
Lecture 3 Can you explain what a test case is?
Lecture 4 What are the different levels of testing?
Lecture 5 What is regression testing?
Lecture 6 What is the difference between functional and non-functional testing?
Lecture 7 How do you decide what to test?
Lecture 8 What is a test plan?
Lecture 9 What is the role of a QA engineer?
Lecture 10 What is exploratory testing?
Lecture 11 What is boundary value analysis?
Lecture 12 Can you explain equivalence partitioning?
Lecture 13 What is the V-Model in software testing?
Lecture 14 What is static testing?
Lecture 15 What is user acceptance testing (UAT)?
Lecture 16 What is a defect life cycle?
Lecture 17 How do you handle changing requirements?
Lecture 18 What is risk-based testing?
Lecture 19 What is smoke testing?
Lecture 20 What is sanity testing?
Lecture 21 What is test coverage?
Section 3: Tools & Techniques
Lecture 22 Which test management tools have you used?
Lecture 23 What is your experience with Jira?
Lecture 24 What is the difference between Postman and SoapUI?
Lecture 25 How do you test APIs?
Lecture 26 What are HTTP status codes and why are they important?
Lecture 27 What are some commonly used testing techniques?
Lecture 28 How do you report bugs effectively?
Lecture 29 What is your process for writing test cases?
Lecture 30 How do you prioritize test cases?
Lecture 31 What is the difference between test scenarios and test cases?
Lecture 32 What tools do you use for test reporting?
Lecture 33 Have you used any performance testing tools?
Lecture 34 What is a test suite?
Lecture 35 What is defect density?
Lecture 36 What are the most important elements of a bug report?
Lecture 37 How do you estimate testing efforts?
Lecture 38 How do you ensure traceability in testing?
Lecture 39 What is a test data strategy?
Lecture 40 How do you handle data privacy in test data?
Lecture 41 What is an RTM (Requirement Traceability Matrix)?
Section 4: Behavioral & Soft Skills
Lecture 42 Tell me about a time you found a critical bug late in the release cycle.
Lecture 43 How do you handle conflicts with developers?
Lecture 44 Describe a situation where you had to work under pressure.
Lecture 45 How do you deal with repetitive testing tasks?
Lecture 46 How do you stay up to date with QA trends?
Lecture 47 How do you handle feedback from your peers or manager?
Lecture 48 Describe a time when you missed a bug. What did you learn?
Lecture 49 What do you do if you're unsure how to test something?
Lecture 50 How do you organize your daily work?
Lecture 51 What is your approach to teamwork?
Lecture 52 How do you communicate testing progress?
Lecture 53 What motivates you to be a tester?
Lecture 54 How do you ensure quality in your work?
Lecture 55 How do you handle deadlines that are too tight?
Lecture 56 Tell me about a successful project you worked on.
Lecture 57 How do you mentor junior testers?
Lecture 58 How do you handle vague or incomplete requirements?
Lecture 59 How do you balance quality and speed?
Lecture 60 Describe a time you went beyond your job description.
Lecture 61 What are your career goals in QA?
Section 5: Automation Testing
Lecture 62 What is the difference between Selenium and Cypress?
Lecture 63 How do you decide what to automate?
Lecture 64 What programming languages have you used for automation?
Lecture 65 What is a test automation framework?
Lecture 66 What are some common challenges in automation testing?
Lecture 67 Can you explain your test automation strategy?
Lecture 68 What is continuous testing?
Lecture 69 How do you maintain automated tests?
Lecture 70 How do you handle dynamic elements in UI testing?
Lecture 71 What are some best practices for writing automated tests?
Lecture 72 What is the Page Object Model?
Lecture 73 Have you worked with CI/CD tools like Jenkins?
Lecture 74 How do you handle test data in automation?
Lecture 75 What are the benefits of automation testing?
Lecture 76 What is the ROI of automation?
Lecture 77 What are headless browsers and when would you use them?
Lecture 78 How do you test for cross-browser compatibility?
Lecture 79 What tools have you used for API automation?
Lecture 80 What is test flakiness and how do you address it?
Lecture 81 What are your favorite automation tools and why?
Section 6: Agile, DevOps & Processes
Lecture 82 What is your role in an Agile team?
Lecture 83 How do you participate in sprint planning?
Lecture 84 What is the definition of done in testing?
Lecture 85 What is your experience with Scrum or Kanban?
Lecture 86 How do you test in continuous delivery pipelines?
Lecture 87 What are QA responsibilities during a sprint?
Lecture 88 What is shift-left testing?
Lecture 89 How do you collaborate with developers in Agile?
Lecture 90 How do you track testing progress in Agile?
Lecture 91 What metrics do you use in Agile QA?
Lecture 92 What is DevOps and how does QA fit into it?
Lecture 93 What is test-driven development (TDD)?
Lecture 94 What is behavior-driven development (BDD)?
Lecture 95 How do you write BDD scenarios?
Lecture 96 What is the role of QA in CI/CD?
Lecture 97 How do you ensure quality in fast delivery cycles?
Lecture 98 What is your approach to testing user stories?
Lecture 99 How do you handle incomplete acceptance criteria?
Lecture 100 How do you test in a DevOps environment?
Lecture 101 What is your opinion on the "no tester" team model?
Section 7: Practice Tasks
Section 8: Additional lessons
Lecture 102 What is Testing?
Anyone preparing for a QA job interview,Beginners who want to enter software testing,Junior testers looking to grow and improve,Manual testers who want to boost interview skills
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Railway RAMS-Reliability Availability Maintainability Safety
Railway RAMS-Reliability Availability Maintainability Safety
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Published 5/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 56m | Size: 215 MB
Railway Applications: The Management of Reliability, Availability, Maintainability and Safety (RAMS)
What you'll learn
Railway RAMS
Management of Railway RAMS
RAMS Life Cycle
Safety Case
Reliability, Availability, Maintainability, Safety
Risk matrix calibration and risk acceptance categories
Core RAMS principles and terminology
Multi-level system approach
RAMS requirement specification & risk-based strategy
Lifecycle RAMS activities
Real-world risk assessment techniques
Independent safety assessments
Human factors & failure classification
Requirements decomposition
Verification & validation
Maintenance and performance monitoring
Annexes with real parameters, matrices, breakdowns
Requirements
Basic Knowledge of Railway Systems
Description
Master the Backbone of Railway Safety and Performance!Introduction:Welcome to "Railway Application RAMS Management", a comprehensive and in-depth video lecture designed for engineers, project managers, system integrators, and professionals involved in the railway industry. This course walks you through the international best practices and standards for Reliability, Availability, Maintainability, and Safety (RAMS) management within railway applications.Rooted in industry-accepted frameworks and enriched with practical examples, this lecture series demystifies the lifecycle of RAMS management - from concept to decommissioning - providing a solid foundation for ensuring system integrity and passenger safety in modern railway systems.What You'll Learn:Core principles and terminology of RAMS in railway systemsMulti-level system approaches and stakeholder integrationSpecification and risk-based formulation of RAMS requirementsLifecycle RAMS activities from concept design to system acceptance and operationDevelopment of Safety Cases and RAMS documentationReal-world examples and risk assessment techniquesIndependent safety assessment processesIncludes Coverage Of:Human factors and failure classificationSystem requirements decomposition and hierarchical analysisVerification, validation, and quality assuranceMaintenance planning, performance monitoring, and eventual system decommissioningDetailed annexes with parameter examples, risk matrices, and functional breakdownsWho Should Watch This:Railway engineers and designersSafety and quality assurance professionalsProject managers in transportation infrastructureRegulatory bodies and safety assessorsStudents and researchers in transport and systems engineeringWhy This Lecture?In an industry where reliability and safety are not just metrics but mandates, understanding and applying RAMS correctly can make the difference between system success and failure. This course brings together theory, structure, and application - empowering you to manage railway systems with confidence and compliance.
Who this course is for
Railway Signal Engineers
Students and Academics
Technology Enthusiasts
Transportation Policy Makers
Railway Infrastructure Developers
Railway Operations Managers
Signaling Engineers
Railway Professionals
Railway engineers
QA & Safety professionals
Transport infrastructure project managers
Regulators & safety assessors
Students & researchers in transport systems
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Code:
https://www.udemy.com/course/railway-rams-reliability-availability-maintainability-safety/
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Recruiters Guide To Job Searching, Interviews & Negotiations
Recruiters Guide To Job Searching, Interviews & Negotiations
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Published 5/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.23 GB | Duration: 1h 14m
Land the Job You Want Using Recruiter-Backed Search, Interview & Offer Tactics
What you'll learn
Discover job search strategies beyond job boards, including networking and Boolean search techniques tailored to your industry and career level
Explore creative, strategic, and unconventional roles that could be the perfect next step in your professional journey
Craft impactful interview responses by researching companies, identifying key role competencies, and avoiding common mistakes to make a positive impression
Master negotiation skills by preparing thoroughly, understanding industry standards, articulating your value, and practicing techniques to secure the best deal
Requirements
There are no prerequisites for this course - just a willingness to learn! Having access to a printer may be helpful for some materials.
Description
Here's what you can expect and how to get the most out of your learning experience.What to Expect:Comprehensive Modules: Our courses are divided into detailed modules that cover every critical aspect of the job search process, from resume writing to interview skills and negotiation tactics.Interactive Content: Engage with a variety of learning materials, including video lectures, practical exercises, downloadable templates, and real-world examples.Expert Guidance: Learn from a seasoned recruiter who will share insider tips and proven techniques to help you stand out in a competitive job market.Community Support: Join a network of fellow job seekers to share experiences, gain feedback, and receive support throughout your job search journey.How to Maximize the Value of This Course:Stay Engaged: Actively participate in all modules and complete the exercises. The more you engage with the content, the more you will learn.Utilize Resources: Take full advantage of the free cover letter and resume templates, worksheets, and additional resources provided. Customize these tools to fit your personal job search needs.Practice Regularly: Apply what you learn immediately to your job search. Regular practice will help reinforce new skills and build your confidence.Seek Feedback: Don't hesitate to ask for feedback on your resume, cover letters, and interview responses. Constructive criticism will help you improve.Network: Connect with our online community to exchange insights, tips, and encouragement. Networking can also lead to new job opportunities.Stay Persistent: Job searching can be challenging, but persistence is key. Keep applying the strategies learned in this course, and don't get discouraged by setbacks.By fully engaging with this course and utilizing all the provided resources, you'll be well-equipped to tackle your job search with confidence and secure the position you've been aiming for.Welcome to the journey of transforming your career!
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: The Job Search Blueprint: Effective Strategies & Techniques to Find Jobs
Lecture 2 Lesson 1: Defining Your Next Career Move
Lecture 3 Lesson 2: Navigating the Modern Job Market
Lecture 4 Lesson 3: Unlocking Internship Opportunities
Lecture 5 Lesson 4: Alternative Career Routes
Lecture 6 Lesson 5: Aligning Job Search with Hiring Cycles
Section 3: Ace the Interview: Expert Interviewing Techniques
Lecture 7 Lesson 1: Exploring Every Job Interview Type
Lecture 8 Lesson 2: Prepping for Interview Perfection
Lecture 9 Lesson 3: Navigating Interviews with Confidence
Lecture 10 Lesson 4: Post-Interview Insights
Section 4: Job Negotiation Tactics: Securing the Best Deal
Lecture 11 Lesson 1: The Importance of Negotiating Job Offers
Lecture 12 Lesson 2: Preparing for a Salary Negotiation
Lecture 13 Lesson 3: The Negotiation Mindset
Lecture 14 Lesson 4: Planning Your Negotiation Strategy
Lecture 15 Lesson 5: The Conversation
Lecture 16 Lesson 6: Post-Negotiation Steps
Section 5: Additional Resources
Lecture 17 Additional Resources at Career Seekers Network
Job seekers at any level looking for a structured approach,Professionals looking for alternative ways to find opportunities beyond traditional job boards,Anyone who wants to improve their interview performance and make a strong impression,Those who needs guidance on how to confidently negotiate a job offer
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Regular Expression With Python
Regular Expression With Python
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Published 5/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.18 GB | Duration: 2h 28m
Master pattern matching to efficiently extract, validate, and transform text data for real-world Python applications
What you'll learn
Write powerful pattern-matching expressions
Master regular expressions (regex) in Python
Understand regex syntax and special characters
Process and clean text data efficiently
Validate emails, phone numbers, and passwords
Extract specific information from text files
Build practical Python applications using regex
Use Python's re module effectively
Requirements
Basic Python knowledge (variables, loops, functions)
A computer with Python installed (any version)
No prior regex experience required - we'll start from the basics
Willingness to practice with hands-on exercises
Interest in text processing and pattern matching
Description
Regular Expression with Python.Are you ready to unlock the full potential of text processing and data extraction in Python? "Regular Expression with Python" is your gateway to mastering one of the most powerful tools for working with text data. This course is designed for learners who want to efficiently search, match, and manipulate text using regular expressions (regex) in Python, whether you're a beginner or looking to level up your coding skills.You'll start by understanding the basics of regex syntax, including essential metacharacters like ., *, +, ?,[], ^, and $, as well as special sequences such as \d (digits), \w (word characters), and \s (whitespace)89. Through clear explanations and hands-on examples, you'll learn how to craft powerful patterns to extract emails, validate phone numbers, clean messy data, and much more.The course guides you step-by-step through Python's built-in re module, showing you how to use functions like findall(), search(), split(), and sub() to implement regex solutions in real-world scenarios89. You'll also explore practical tips for debugging and optimizing your patterns.To solidify your knowledge, you'll complete a final project where you apply everything you've learned to solve a real-world text processing challenge. By the end of the course, you'll have the confidence and skills to tackle data extraction, validation, and transformation tasks with ease.What You'll GetLifetime access to engaging video lectures and downloadable resourcesPractical exercises and quizzes to reinforce your learningA hands-on project to showcase your new skillsA certificate of completion to boost your resumeWho Should EnrollPython beginners eager to expand their toolkitData analysts, engineers, and developers working with text dataAnyone preparing for coding interviews or real-world data challengesUnlock the secrets of text manipulation-enroll now in "Regular Expression with Python" and start mastering regex today!
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Regex 101
Lecture 2 Download Resource
Lecture 3 Simple Pattern
Lecture 4 Exercise
Lecture 5 What is Meta Character and First meta character pipe
Lecture 6 Exercise questions
Lecture 7 dot
Lecture 8 Set of Characters[ ]
Lecture 9 Exercise questions
Lecture 10 Quantifiers (*, +, ?, {n,m})
Lecture 11 Special Sequence Characters (\w, \d, \s, \W, \D, \S)
Lecture 12 Regex Challenge - 1
Lecture 13 What is Regex Challenge - 1
Lecture 14 Regex Challenge -1: Answers Explanation
Lecture 15 Regex Challenge -1 : Answers
Lecture 16 Boundary Matcher in Regex
Lecture 17 Regex Challenge - 2
Lecture 18 Regex Challenge - 2 : Answers
Section 3: Regex with Python
Lecture 19 Introduction to re module
Lecture 20 re.match | match pattern beginning in the string
Lecture 21 re.match | Exercise examples
Lecture 22 re.search | match pattern anywhere in the string
Lecture 23 re.findall | match pattern anywhere in the string with multiple occurrences
Section 4: Bonus
Lecture 24 Bonus Lecture
Python developers looking to enhance their text processing skills,Data scientists who need to clean and extract information from unstructured data,Web developers working with form validation or scraping web content,Automation engineers building scripts for text analysis or transformation
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Start Balloon Biz Wedding Flowers, Cute Animals & Cash Now!
Start Balloon Biz: Wedding Flowers, Cute Animals & Cash Now!
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Published 5/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 38m | Size: 701 MB
Master Basic Tools, Knots & Cartoon Designs - Create Party Magic or Launch a Profitable Business!
What you'll learn
Balloon Sculpting101: Essential Tools and Supplies for Beginners
Balloon Sculpting 101: Mastering Basic Knots for Beginners
Balloon Sculpting 101: Step-by-Step Guide to Crafting Animals & Flowers for Beginners
Balloon Sculpting 101: Designing Cartoon & Anime Characters for Beginners
Requirements
Perfect for complete beginners: A course designed for anyone starting from scratch
Description
Imagine handing a child a balloon poodle that makes them scream with joy - and getting paid for it. This is balloon sculpting made stupid simple.I'll arm you with ONLY the essentials:**Tools that Matter**: Ditch 15+ gadgets; master 3 professional-grade items (under 20) **5 Money-Making Designs**: Dogs, roses, swords + Disney princesses & anime heroes (steal my templates)**The Playground Pitch**: How to charm moms into buying 10 sculptures while their kids begReal Student Wins:• Lisa paid off her credit card debt twisting Frozen characters at birthday parties• Retired Tom makes $50/hour at farmers' markets (his grandkids think he's a wizard!)Why This Works:Film yourself sculpting → 90% of students get first sale within 48 hoursSecret Facebook groups where planners beg for balloon artists ($150/gig)My 30-second 'knot hack' that saves blisters and timeRisk-Free: If Day 3 doesn't have you grinning at your balloon unicorn, email me for a full refund - no why's needed.Stop dreaming of side income. Your hands (yes, those clumsy ones) are about to become money machines. Let's twist your way to freedom. Act to start now, don't waste time！Done is better than perfect! Let's start! If any problem, welcome any advice any time.
Who this course is for
Whether you want to delight loved ones with whimsical decorations or build a profitable balloon sculpting career - this course delivers both
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Code:
https://www.udemy.com/course/start-balloon-biz-wedding-flowers-cute-animals-cash-now/
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System Design Fundamentals - HLD and LLD
System Design Fundamentals - HLD and LLD
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Last updated 4/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 21m | Size: 765 MB
Master software architecture by learning practical techniques to create scalable high-level and low-level system designs
What you'll learn
Understand system design fundamentals-Gain clarity on key concepts like scalability, availability, consistency, and performance.
Master high-level design (HLD)-Learn to architect scalable systems by breaking them into modular, robust components.
Excel at low-level design (LLD)-Develop proficiency in translating requirements into precise, maintainable software designs.
Practice real-world problem-solving-Apply system design concepts through practical examples and case studies.
Requirements
Basic computer science fundamentals and basic programming knowledge in C/C++/Java/Python would be sufficient
Description
This course provides an in-depth exploration of system design fundamentals, focusing on both High-Level Design (HLD) and Low-Level Design (LLD). Designed for software developers, engineers, and architects, this course helps learners build a robust foundation in creating scalable and maintainable software solutions.In the HLD modules, students will learn how to break down complex systems into clear, modular components, select appropriate technologies, handle scalability, and manage trade-offs such as consistency, availability, and partition tolerance. Practical examples and case studies, including popular applications like YouTube and Netflix, will illustrate real-world implementation strategies.The LLD modules dive into detailed design patterns, class structures, object-oriented programming principles, and best practices for writing clean, efficient code. Through interactive examples, students will practice converting high-level architectural designs into concrete implementations thereby building a solid foundation for designing software.By the end of the course, students will confidently approach system design interviews, effectively architect scalable applications, and understand critical design concepts such as consistent hashing, caching strategies, message queues, and databases.Join this course to become proficient in both high-level and low-level system design, empowering you to architect reliable software systems at scale and excel in your software engineering career with practical, industry-ready skills learned from real-world scenarios.
Who this course is for
Software developers aiming to strengthen their skills in system architecture and design
Engineers preparing for technical interviews at top tech companies requiring system design knowledge
Experienced developers who want to transition into software architecture or senior engineering roles
Computer science graduates and professionals seeking to understand how large-scale systems are built and operated
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Code:
https://www.udemy.com/course/system-design-high-level-and-low-level-design/
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Tabtrainer Minitab Capability Analysis - Non-Normal Data
Tabtrainer Minitab: Capability Analysis - Non-Normal Data
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Published 5/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 3m | Size: 524 MB
Achieve top-level expertise in Minitab with Prof. Dr. Murat Mola, recognized as Germany's Professor of the Year 2023.
What you'll learn
Learn how to analyze real industrial process data using Minitab, focusing on capability analysis with non-normal, binomial, and Poisson distributions.
Use Minitab to transform non-normal data into a normal shape with the Johnson method and apply classical capability metrics with full confidence.
Evaluate process stability and capability for heat-treated components with Minitab, even when the measurement data does not follow a normal curve.
Identify the best-fitting statistical distribution for your process data using Minitab's Individual Distribution Identification function.
Understand how to conduct binomial capability analysis in Minitab for good/bad data, such as final inspection results in manufacturing lines.
Verify process stability using Minitab's p-chart and identify random versus systematic variation in defect rates across subgroups.
Learn how to assess whether your process follows a binomial distribution using graphical tools like histograms and rate-of-defectives plots.
Use Minitab's capability analysis tools for binomial data to calculate process Z-values and determine compliance with Six Sigma targets.
Perform Poisson capability analysis with Minitab to monitor and evaluate discrete defects, such as scratch counts during final assembly.
Apply the U-chart in Minitab to track and control the number of defects per unit and confirm statistical control over your process.
Validate whether your scratch data follows a Poisson distribution using Minitab's graphical Poisson plot and summary statistics.
Combine stability and capability assessments in one step using Minitab's capability tools for binomial and Poisson data types.
Generate complete Sixpack reports in Minitab to simultaneously assess normality, control limits, and capability metrics for real process data.
Use DPU, PPM, and Z-value statistics in Minitab to translate operational defect rates into meaningful quality and performance indicators.
Master capability analysis across all data types in Minitab and drive quality improvement with statistical insights from real production cases.
Requirements
No Specific Prior Knowledge Needed: all topics are explained in a practical step-by-step manner.
Description
Advanced Process Capability Analysis Using Minitab: From Non-Normal Data to Attribute Metrics (Binomial & Poisson) Part 1 - Part 3:Part 1 - Process Capability for Continuous Non-Normal DataPart 2 - Capability Analysis for Binomially Distributed Data (Good/Bad Classification)Part 3 - Capability Analysis for Poisson-Distributed Defect CountsCourse Description:This comprehensive three-part training course equips participants with the essential knowledge and applied skills to perform process capability analysis across a broad spectrum of real-world manufacturing scenarios. Using Minitab, one of the most powerful tools for statistical quality control, participants will learn how to evaluate process performance for non-normally distributed continuous data, binomial (attribute-based) data, and Poisson-distributed defect data.Through three hands-on modules based on the Smartboard Company case studies, the course not only covers the statistical theory behind each analysis type but also focuses on practical Minitab applications that ensure reliable and actionable insights in quality engineering.Course Structure and Learning Outcomes:Part 1 - Process Capability for Continuous Non-Normal DataScenario: Dimensional changes during heat treatment of skateboard axlesKey Learnings:Understand the limitations of classical process capability metrics (Cp, Cpk, Pp, Ppk) when data are non-normally distributed.Use Minitab's Descriptive Statistics, Boxplots, and the Anderson-Darling test to evaluate distribution assumptions.Apply Minitab's Individual Distribution Identification to determine the best-fitting transformation model.Perform Johnson Transformation and validate it via p-values and probability plots.Utilize the Capability Sixpack (Normal) in Minitab to analyze process stability and capability after transformation.Interpret Pp and Ppk values to determine conformance to customer specification limits.Conclude on process centering potential and sigma level adequacy (Six Sigma benchmark).Heavy emphasis on real-world data preprocessing and transformation in Minitab before performing capability analysis.Part 2 - Capability Analysis for Binomially Distributed Data (Good/Bad Classification)Scenario: Surface inspection of final assembled skateboardsKey Learnings:Differentiate nominal scale data from metric data and understand its implications on statistical modeling.Use Minitab's p-charts to evaluate process stability with respect to fluctuating subgroup sizes.Understand how to verify binomial distribution assumptions using rate of defectives plots, histograms, and cumulative defect curves.Conduct Capability Analysis for Binomial Data in Minitab using:"Statistics > Quality Tools > Capability Analysis > Binomial"Specification of varying or constant subgroup sizesInterpret key indicators such as defect rate, PPM, and Z benchmark.Evaluate whether the current process meets the Six Sigma threshold (Z ≥ 2.0).Participants gain hands-on skills to analyze binary attribute data (pass/fail, good/bad) using Minitab's specialized capability tools.Part 3 - Capability Analysis for Poisson-Distributed Defect CountsScenario: Number of surface scratches per subgroup in final assemblyKey Learnings:Understand when and why to apply Poisson distribution for defect count data.Learn to model defects per unit (DPU) using U-charts in Minitab.Use Minitab's "Capability Analysis > Poisson" function to evaluate process performance for count data.Analyze process stability using U-charts and cumulative DPU plots.Verify Poisson distribution assumptions using Poisson plots.Interpret summary statistics such as:Mean DPUExpected vs. observed defect levelsConfidence intervalsDerive improvement actions when current processes are not capable (e.g., scratch rate > 0%).This module focuses on translating real-time count data into statistically valid process insights using Poisson capability models in Minitab.Software Focus:Throughout all three modules, Minitab is the central tool. Participants will become proficient in:Data importing and structuringDistribution identification and transformationSelection and interpretation of control chartsCapability analysis tools (Sixpack, Binomial, Poisson)Understanding reports and graphical outputs for executive decision-making
Who this course is for
Data Analysts, Six Sigma Belts, Minitab Process Optimizers, Minitab Users
Quality Assurance Professionals: Those responsible for monitoring production processes and ensuring product quality will gain practical tools for defect analysis.
Production Managers: Managers overseeing manufacturing operations will benefit from learning how to identify and address quality issues effectively.
Six Sigma Practitioners: Professionals looking to enhance their expertise in statistical tools for process optimization and decision-making.
Engineers and Analysts: Individuals in manufacturing or technical roles seeking to apply statistical methods to real-world challenges in production.
Business Decision-Makers: Executives and leaders aiming to balance quality, cost, and efficiency in production through data-driven insights and strategies.
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Tabtrainer Minitab SPC Charts for Attribute Quality Data
Tabtrainer Minitab: SPC Charts for Attribute Quality Data
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Published 5/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 6m | Size: 520 MB
Mastercourse SPC - Control Charts in Minitab - with Prof. Dr. Murat Mola, Germany's Professor of the Year 2023
What you'll learn
Identify nominally scaled attribute data and apply the principles of binomial distribution to evaluate production quality using real data.
Differentiate between relative defect rates in P Charts and absolute defect counts in NP Charts, understanding when to use each method.
Analyze control chart signals and trace root causes of process instabilities, using real examples like increased defects during holidays.
Interpret probability plots from the P Chart Diagnostic to validate if process data meet binomial assumptions and decide on the correct control chart.
Perform a full P Chart Diagnostic to determine if the data's dispersion matches the expected random behavior of a binomial distribution.
Apply AIAG guidelines to smooth control limits by assessing whether subgroup size variations meet the standard's 75% tolerance condition.
Calculate daily defect rates by relating the number of bad skateboards to the total produced, adapting to fluctuating daily subgroup sizes.
Save the entire defect rate analysis project, ensuring structured documentation and easy reference for future process improvements.
Learn how to use U charts to analyze relative defect rates based on Poisson-distributed data with variable subgroup sizes in final assembly processes.
Understand how to perform U chart diagnostics to verify whether real-world defect data follows the statistical Poisson distribution model.
Apply C charts to monitor absolute defect counts when subgroup sizes are constant, and interpret fixed control limits accurately.
Learn how to manually calculate upper and lower control limits for U and C charts according to AIAG guidelines using U-bar and C-bar values.
Identify process instabilities using built-in control tests and visualize shifts or outliers directly in Minitab's control chart output.
Use the "Stages" function to split the process into sub-processes and apply correct control limits before and after process improvements.
Compare p, np, U, and C charts to understand the difference between binomial and Poisson-distributed attribute quality data.
Interpret the agreement rate from Poisson probability plots and decide whether a Laney U′ chart is needed to correct for overdispersion.
Analyze real-world production data from Smartboard Company and calculate defect rates with accurate statistical and visual control tools.
Save your analysis as a Minitab project file, ensuring all charts, diagnostics, and calculations are preserved for further quality reviews.
Requirements
No Specific Prior Knowledge Needed: all topics are explained in a practical step-by-step manner.
Description
This comprehensive training course provides a deep, practice-driven introduction to Statistical Process Control (SPC) using attribute control charts in Minitab. It is based on two detailed real-world scenarios from the final assembly process of skateboards at Smartboard Company. The training focuses on understanding, selecting, applying, interpreting, and differentiating the most relevant SPC tools for attribute data: P charts, NP charts, Laney P′ charts, U charts, C charts, and Laney U′ charts.Participants learn not only the technical application of each control chart but also the underlying statistical distributions (binomial and Poisson), diagnostics, interpretation of process instabilities, and the impact of subgroup structure and process changes on control chart accuracy.What This Course CoversModule 1: Monitoring Defective Units (Binomial Distribution)In the first part of the course, you will work with a dataset that reflects the number of defective skateboards identified during final surface inspection. The analysis focuses on:P Chart - to monitor the proportion of defective products across subgroups of varying size.NP Chart - to evaluate the number of defectives in subgroups of constant size.Laney P′ Chart - a modified version of the P chart that adjusts for overdispersion or underdispersion, providing more reliable control limits.Key learning points include:How to diagnose binomial suitability using probability plots.When to apply the Laney P′ chart to avoid false alarms or missed process shifts.How to detect special cause variation using built-in Western Electric control tests.How to interpret control chart results in the context of real production shifts and inspection quality.Module 2: Monitoring Defect Counts (Poisson Distribution)In the second part, you transition from the classification of defective units to analyzing the number of defects per product-such as surface scratches detected per skateboard. This requires a different statistical approach based on Poisson distribution and the use of:U Chart - for tracking the defects per unit, especially when subgroup sizes vary.C Chart - for analyzing total defect counts in subgroups of constant size.Laney U′ Chart - a dispersion-adjusted U chart used when Poisson assumptions are not fully met.This module also introduces advanced techniques such as:Running a U chart diagnostic to check Poisson distributional fit.Manual calculation of control limits based on AIAG formulas.Understanding and applying the "Stages" function in Minitab to split charts before and after process improvements.Visual comparison of U chart vs. C chart when working with the same data under different conditions.Learners explore how mixing data from two different process phases in a single chart leads to distorted control limits, and how correct segmentation enables meaningful interpretation and true process insight.By the End of the Course, You Will Be Able To:Select the appropriate attribute control chart based on defect type, data structure, and distribution.Understand the difference between binomially and Poisson-distributed quality data.Perform diagnostics and validate data suitability for P, NP, U, or C charts.Interpret agreement rates and confidence limits in probability plots.Use Laney charts to correct overdispersed or underdispersed data and avoid misinterpretation.Apply control tests to detect assignable causes and process instability.Split your analysis into pre- and post-improvement process phases using stage control.Manually calculate control limits to validate software-generated results.Present and document your findings in a structured Minitab project for quality reporting.This course combines theory, diagnostics, and applied analytics into a complete learning journey for mastering attribute SPC methods in Minitab-ideal for both industrial practice and academic advancement.
Who this course is for
Production and operations managers who need to interpret control charts for decision-making, resource planning, and continuous improvement.
Quality Assurance Professionals: Those responsible for monitoring production processes and ensuring product quality will gain practical tools for defect analysis.
Production Managers: Managers overseeing manufacturing operations will benefit from learning how to identify and address quality issues effectively.
Six Sigma Practitioners: Professionals looking to enhance their expertise in statistical tools for process optimization and decision-making.
Engineers and Analysts: Individuals in manufacturing or technical roles seeking to apply statistical methods to real-world challenges in production.
Business Decision-Makers: Executives and leaders aiming to balance quality, cost, and efficiency in production through data-driven insights and strategies.
Quality engineers and quality assurance specialists who monitor and improve production processes and need reliable tools for evaluating defect data.
Data analysts and statisticians working in manufacturing or service industries, who want to deepen their applied knowledge of SPC for count and classification data.
Technical trainers and university instructors looking for real-world examples to teach attribute-based quality control using Minitab.
Students in engineering, quality management, operations research, or applied statistics programs who want to bridge theory and practice in preparation for their careers.
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