2178 Testing courses

Lean Six Sigma Black Belt Certification Program This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Advanced Python training course description This course caters to network engineers aiming to enhance both their Python proficiency and network automation skills. Delving deeper into key areas such as netmiko, Nornir, and ncclient, we also focus on automating network testing and validation. Participants gain greater confidence working with Python functions, classes, objects, and error handling. The course additionally introduces more libraries like Scrapli, TTP, pyATS, Genie, pybatfish, and Suzieq, which cover parsing strategies, automation testing, validation, network analysis, observability, and telemetry. The curriculum also encompasses concurrency techniques. What will you learn Write Python modules and functions. Evaluate techniques to parse unstructured data. Use NETCONF filters. Handle Python errors effectively (try, assert…). Use postman. Automate testing and validation of the network. Use scrapli, Genie, batfish and Suzieq. Advanced Python training course details Who will benefit: Network engineers. Prerequisites: Python for network engineers Duration 5 days Advanced Python training course contents Review CLI, NETCONF, RESTCONF, structured versus unstructured data, gNMI and when to use which. PEP 8. Naming conventions. Packages, modules, Classes and methods. The scrapli library. Netmiko versus scrapli. Hands on: scrapli, Dictionaries versus Regular Expressions. Modules and Functions Writing your own modules, containers versus packages, virtual environments. Best practices, calling functions, writing your own functions. Parameters, arguments. Named arguments, dictionaries as arguments. Builtins. Docstrings. Main. __name__, __main__ . Program arguments. Hands on: Getting interfaces, showing interface status using Netmiko and functions. Using dictionaries as arguments. Writing your own modules. Parsing strategies Turning unstructured data into structured data. textfsm, PyATS Genie parser, NAPALM getters, Template Text Parser. Hands on: Genie parser, TTP. Accessing structured data with lists and dictionaries. Classes, objects and Python Python classes in Genie, PyEZ and others . Hands on: studying network automation classes, objects, methods and attributes. Configuration management - more nornir, ncclient, requests Nornir tasks. Nornir results, Nornir functions, Nornir plugins. Nornir processors. YANG, YANG models, pyang. NETCONF hello. Capabilities. Schemas. Filters. Subtrees. XPATH. Exploring available YANG data models. NETCONF and network wide transactions. Asserting NETCONF capabilities. Configuration types. Locking configurations, commits. NETCONF data stores. Netconf-console. RESTCONF differences from NETCONF. URI construction. Postman. More XML and JSON. Git and configuration versions. Hands on: Nornir and Jinja2. Exploring available models, NETCONF filters. Using postman. Python error handling and debugging Context handlers, try, assert, logging, pdb, pytest, unit testing, chatgpt. Hands on: Writing code with each of the error handling methods, investigating what happens on an error. Use chatgpt to debug your code. Python Automation Testing Testing and validation. pyATS, Genie. Testbed file. Genie parse, genie learn, genie diff. Genie conf, Genie ops, Genie SDK, Genie harness. Xpresso. Hands on: Using Genie for state comparisons of the network. Network analysis Batfish, pybatfish, configuration analysis, analysing routing, analysing ACLs. Pandas. Pandas dataframe. Filtering and selecting values of interest. Hands on: Use Batfish to analyse network snapshots, find network adjacencies, flow path analysis. Network observability Suzieq, using docker, using as a package. Sqpoller, suzieq-gui, suzieq-cli, sq-rest-server. Namespaces and seeing devices, network state and Asserts. Time based analysis, snapshots and changes. Hands on: Suzieq: Gathering data from the network, analysing data from the network. Network state assertion. Telemetry gRPC, gNMI. CAP, GET, SET. Subscriptions. Model Driven telemetry. Hands on: Analysing telemetry data with Python. Concurrency asyncio, threads, processes. Nornir concurrency. Scrapli and netmiko concurrency. Hands on: Multiple SSH connections to devices at same time. Scarpli asyncio.

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Copper cabling systems training course description A hands on training course covering installation, termination and testing of copper cables in an internal environment. The course covers all copper cabling but hands on sessions focus on unshielded Twisted Pair. What will you learn Recognise different copper cables and when to use them. Install and terminate UTP cables. Test and certify UTP cables. Copper cabling systems training course details Who will benefit: Professional cable installers. Prerequisites: None Duration 2 days Copper cabling systems training course contents Communications principles Use of cables in data networks, Use of cables in telephone networks, conductors and insulators, current, resistance, voltage and Ohms law. Copper cabling per cabling Coaxial versus twisted pair. UTP and STP. Cat 5, 5e, 6 and 7. Straight through, cross over, others. Hands on: Building a simple network. Cable termination Cable termination Preparing cables for termination, termination techniques, termination tools. Wiring standards, colour codes. Hands on: Making your own cables and using them in the simple network. Cable architectures Structure cabling system components, topologies, horizontal wiring, vertical wiring, telecomms rooms, server rooms. Hubs, switches and routers implications. Trunking. Cabling documentation, symbols and abbreviations. Hands on: punch blocks, testing continuity. Cable installation Site surveys: pathways and spaces, support structures, distance limitations. Recommended installation practices, laying and setup, retrofits. Health and safety factors, fire and building codes. Hands on: Performing a site survey, installing cable with floor boxes. Testing Basic testing, volt meters, tone set, Cat 5 testers, Cat 5e testers, Cat 6 testers. Certifying performance, Cat 5, 5e and 6 performance parameters. External factors. Common faults. Hands on: Testing an installation, troubleshooting faults. Other aspects Telephony cables, shielded cables. Hands on: installing telephone cable, testing continuity.

Fibre Optic cabling training course description A hands on course covering installation, splicing and testing of fibre optic cabling. What will you learn Describe different types of fibre cable and where to use them Install fibre optic cable. Splice fibre optic cable. Test fibre optic cable. Fibre Optic cabling training course details Who will benefit: Cable installation professionals. Prerequisites: None Duration 3 days Fibre Optic cabling training course contents Fibre optic transmission Physics of light, optical modes, light propagation, light guiding, dispersion, light spectrum, fibre versus copper comparison, fibre cable types and their uses, WDM and DWDM. Fibre optic cable Single mode, Multi mode, diameters, step-index fibre, graded index fibre, loose tube, tight buffered, cable jackets, distance limitations, indoor versus outdoors. Fibre optic network components ST, SC, FC and other connectors, termination methods, joint enclosures, transmitters, light sources, laser, LED, receivers, detectors. Installation BS.7718. Safe working practices, site surveys, recommended installation procedures, cable handling issues, bending radius, techniques and tools, documentation. Splicing Joining fibres, splicers, fusion splicing, mechanical splicing, splicing procedure, cleaving, splicing parameters, splicing vs. connectors. Measurement parameters and applications Power measurement, loss measurement, return loss measurement, receiver sensitivity measurement, budget calculations. Testing Optical power meter, optical light source, optical attenuator, return loss meter, continuity testing, insertion loss testing, OTDR features and principles, OTDR capabilities and limitations, using an OTDR, troubleshooting.

This course will provide those who require it, the knowledge of how to conduct face fit testing...

Lean Six Sigma Black Belt Certification Program: Virtual In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

***24 Hour Limited Time Flash Sale*** Penetration Test Engineer - CPD Certified Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Feeling stuck in your career? Struggling to keep up with the ever-changing demands of the industry? You're not alone. But there's good news: Penetration Tester - CPD Certified career bundle is here to equip you with the essential skills and knowledge you need to break free and achieve your goals. With this Penetration Test Engineer course you will get 20 CPD Accredited PDF Certificates, a Hard Copy Certificate for Web Application Penetration Testing and our exclusive student ID card absolutely free. Courses Are Included In This Penetration Tester - CPD Certified Bundle: Course 01: Web Application Penetration Testing Course 02: Penetration Testing with OWASP ZAP Course 03: CompTIA PenTest+ (Ethical Hacking) Course 04: Secure Programming of Web Applications - Developers and TPMs Course 05: IT: Ethical Hacking & IT Security Course 06: IGCSE ICT: Network Essentials Course 07: Network Security Level 2 Course 08: Computer Networks Security from Scratch to Advanced Course 09: CompTIA Security+ (SY0-601) Course 10: CompTIA CySA+ Cybersecurity Analyst (CS0-002) Course 11: CompTIA Network+ Certification (N10-007) Course 12: Python Basic Programming for Absolute Beginners Course 13: Python Masterclass: Advanced Diploma Course 14: Machine Learning with Python Course Course 15: Azure Machine Learning Course 16: Introduction to Java Course 17: Essential IT Skills Level 2 Course 18: IT Support Technician Course 19: Cyber Security Awareness Training Course 20: Cyber Security Incident Handling and Incident Response Embarking on Penetration Tester - CPD Certified is more than just taking an online course; it's an investment in your future. By completing this Penetration Tester - CPD Certified bundle, you'll not only gain invaluable skills but also open doors to new career opportunities and advancements, boosting your earning potential. Don't miss this chance to elevate your career and skillset. Enrol in Penetration Tester - CPD Certified today and take the first step towards achieving your goals and dreams. Why buy this Penetration Tester - CPD Certified? Free CPD Accredited Certificate upon completion of Penetration Tester - CPD Certified Get a free student ID card with Penetration Tester - CPD Certified Lifetime access to the Penetration Tester - CPD Certified course materials Get instant access to this Penetration Tester - CPD Certified course Learn Penetration Tester - CPD Certified from anywhere in the world 24/7 tutor support with the Penetration Tester - CPD Certified course. Penetration Tester - CPD Certified is an entirely online, interactive lesson with voice-over audio. Start your learning journey straightaway with our Penetration Tester - CPD Certified Training! Penetration Tester - CPD Certified premium bundle consists of 20 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of Penetration Tester - CPD Certified is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience. Certification You have to complete the assignment given at the end of the Penetration Tester - CPD Certified course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing the Penetration Tester - CPD Certified exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 320 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Penetration Tester - CPD Certified course is ideal for: Students seeking mastery in Penetration Tester - CPD Certified Professionals seeking to enhance Penetration Tester - CPD Certified skills Individuals looking for a Penetration Tester - CPD Certified-related career. Anyone passionate about Penetration Tester - CPD Certified Requirements This Penetration Tester - CPD Certified doesn't require prior experience and is suitable for diverse learners. Career path This Penetration Tester - CPD Certified bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - Included

Test-Driven Development - A Stunningly Quick Introduction "The job of QA is not just to do testing it's to build quality in.How often have you heard that sentence? And how often has it been followed up with solid practices for actually building quality in? Test-Driven Development (TDD) is one of the foundational practices of high-quality product development. Popularized nearly 20 years ago, TDD is an important skill for high-quality software development. If you want it to be easier to build high-quality code, then you need to understand TDD. In this hands-on session, we'll learn by doing. Richard will facilitate a coding dojo, a safe place to learn and practice the skills of test-driven development. We'll mob-program together on a coding kata - an easy programming problem - to learn TDD, refactoring, clean code, code smells, and more - all in the pursuit of technical agility, business agility, and a great product that people love. To follow along, bring your laptop and development environment. You'll leave with an introduction to solid new skills, including: Test-driven development (TDD) Extreme Programming (XP) Refactoring and refactoring patterns Code smells Mob programming

أساليب التقويم والتقييم ونظم الامتحانات Testing, Assessment and Evaluation