43870 Learning courses in Sheffield delivered Online

Active Listening is the process of improving your listening skills so that you can understand people's thought easily and makes them feel that you care for them. The Active Listening Diploma course helps you to increase your active listening skill. Upon completion, you will be able to listen patiently to your customers, students or employees for solving problems or bringing a positive impact. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who is this course for? Active Listening Diploma is suitable for anyone who want to gain extensive knowledge, potential experience, and professional skills in the related field. This is a great opportunity for all student from any academic backgrounds to learn more on this subject. Course Content Active Listening Diploma Course Overview 00:05:00 What is Active Listening? 00:15:00 Tips for Becoming a Better Listener 00:15:00 Body Language Basics 00:15:00 Understanding Sympathy and Empathy 00:15:00 Creating the Right Mindset 00:15:00 Being Genuine 00:15:00 Making Connections 00:15:00 What Is Said and What Is Heard 00:30:00 Probing Techniques 00:15:00 Paraphrasing Techniques 00:15:00 Building Common Ground 00:15:00 NLP Tips and Tricks 00:15:00 Getting Over Listening Roadblocks 00:15:00 Mock Exam Mock Exam- Active Listening Diploma 00:20:00 Final Exam Final Exam- Active Listening Diploma 00:20:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Leaders and managers are powerful people who are able to exercise considerable influence over the way in which an organisation operates and its employees. Ethical leadership involves the way that managers and leaders carry out their decision-making in terms of moral issues and choices. It is concerned with right versus wrong, good versus bad and the many shades of grey in between. Moral implications spring from virtually every decision, both on and off the job, requiring the ethical leader to have more imagination and the courage to do the right thing, from an ethical standpoint. This course examines the role of the ethical leader and the influence that he or she can exert in terms of corporate social responsibility (CSR) and improving an organisation’s ethical climate.

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00

About this Training Course This 5 full-day course covers all the main elements of IChemE's Process Safety Competency framework: culture, knowledge and competence, engineering and design, human factors, systems and procedures, and assurance. Participants will achieve at least the second level of competence 'Basic Application', which is defined as 'Performs fundamental and routine tasks. Requires occasional supervision. Increased functional expertise and ability. Works with others.' This course examines the interrelation of the various techniques of process safety for analysing and managing process hazards in the hydrocarbon and chemical processing industries. There is a particular emphasis on engineering design aspects with extensive participation in individual and group exercises, tutored exercises and video case studies throughout the course to underpin key learning points. The learning is consolidated in a comprehensive case study and requires collaboration between members of each syndicate. This course has been reviewed and approved by the Institution of Chemical Engineers. IChemE is the global professional membership organisation for chemical, biochemical and process engineers and other professionals involved in the chemical, process and bioprocess industries. Their knowledge of professional standards, close involvement with industry, education and regulators, and their expertise as a leading global training provider, means they are uniquely positioned to independently assess and approve training courses and professional development programmes across the world. Training Objectives By the end of this course, participants will be able to: Acquire the underpinning knowledge required to achieve process safety competency Gain a comprehensive understanding of process safety management Understand the concept of the safety life cycle of a process plant from conceptual design onwards including operation, maintenance and modification Understand the hazard scenarios associated with a process plant Understand how risks can be controlled by hardware and procedural measures Identify and analyse hazard causes and consequences Recognise when specialist analytical expertise is required Generate effective and appropriate measures to reduce risks Justify and communicate practical solutions to non-technical personnel Explain the rationale for process safety measures to decision makers Target Audience This course is suitable for process industry professionals who need to acquire a comprehensive understanding of process safety management, those moving into process safety positions or those who wish to broaden their process safety knowledge within their existing discipline. It is particularly suited for anyone involved in the design, operation, modification or maintenance of a major hazard installation. This includes: Supervisors, operators and maintainers in Oil & Gas, Petrochemical and Chemical industries, process, mechanical and chemical engineers and technicians Design engineers, project engineers and HSE managers Control, automation and instrumentation engineers It will also demonstrate a substantial understanding of process safety for those engaged in Continuous Professional Development or aiming for the Chartered Engineer status. Course Level Basic or Foundation Trainer Your expert course leader has 50 years' experience in chemical and process safety engineering. His early career included 20 years in design and project engineering with various fine chemical and pharmaceutical companies where he designed chemical processes, specified plant equipment and selected materials for highly corrosive and toxic processes, often where textbook data was not available. This was followed by 10 years in offshore oil and gas design projects where he was responsible for setting up a Technical Safety group to change design safety practices in the aftermath of the 1988 Piper Alpha disaster. In recent years, he has been called upon to conduct various offshore and onshore incident investigations. His career has given him experience in project engineering, project management, process design and operations, safety engineering and risk management. He is a Fellow of the UK Institution of Chemical Engineers. He served on the Scottish Branch committee, and was elected chairman for a two-year term in 1991. He has also been chairman of the Safety and Reliability Society - North of Scotland Branch. He has delivered training courses in Process Hazard Analysis (HAZOP and HAZID), Process Safety Management, Hazard Awareness, Risk Assessment, Root Cause Analysis, Failure Modes & Effect Analysis and has lectured on Reliability Analysis to the M.Sc. course in Process Safety and Loss Prevention at Sheffield University. In addition to delivering training courses, he currently facilitates HAZOP / HAZID / LOPA studies and undertakes expert witness roles advising lawyers engaged in contractual disputes, usually involving the design or construction of chemical plants or Oil & Gas production facilities, or criminal prosecutions. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Lean Six Sigma Black Belt Certification Program: 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)

About this Training Course This 5 full-day course will focus on geological fundamentals: how different basin types differ in subsidence mechanisms, basin cycles, heat flow through time, depositional systems, structural styles and their type of petroleum systems. This will allow participants to make realistic interpretations in new areas; interpretations that are consistent with the specific basin type and to be expected depositional systems and structural styles. In addition, through simple paper-based exercises, the course will provide background and understanding of how some of the typical PBE products are made: creaming curves, Field-size plots and Yet-to-find. Finally, the essentials of commercial assessments will be covered. Training Objectives To provide participants with a sound understanding how, and under which conditions different basin types develop, and what the impact of their development is on the typical petroleum systems of these different basin types. To teach evaluation techniques that assist in the regional understanding and illustration of sedimentary basins and their development. While some of these techniques can be done using computers, in the course these will be done 'by hand' for maximum understanding. Target Audience This course is designed in the first place for geoscientists working in exploration and their direct supervisors. The course is also very instructive for specialist staff working closely with exploration staff such as (bio)stratigraphers, geochemists, basin modelers, structural geologists, geophysicists, reservoir engineers and petrophysicists. Course Level Intermediate Training Methods Each topic is introduced by a lecture, and leaning is re-enforced by practical exercises (on paper). There is ample time for discussions of general issues and any specific questions participants may have. For several exercises participants will be invited to do exercises on a basin of their choice, which will make the course more impactful for the participants. Participants will be provided with the following pre-read material: Concepts of Conventional Petroleum Systems. De Jager, J. (2020). Invited contribution for Regional Geology and Tectonics Volume 1: Global Concepts, Techniques and Methodology (eds: Adam, J., Chiarelly, D. & Scarselli, N. Play-Based Exploration of the petroleum potential of the Tremp-Graus, Ainsa and eastern Jaca Sub-basins in the southern De Jager, J & van Winden, M. (2020). invited contribution for Digital Learning - Multi-scale analysis of depositional systems and their subsurface workflows (eds: Grötsch, J. & Pöppelreiter, M.), EAGE. Trainer Your expert course leader has a PhD in Geology from the University of Utrecht. He worked for 31 years (1979 -2010) with Shell as an exploration geologist in a variety of functions across the globe. As Principle Technical Expert, he was responsible for ensuring that Risk & Volume assessments were carried out consistently and correctly in all of Shell's exploration units. In this capacity, he led and participated in countless prospect review sessions and developed and conducted a successful in-house course on Risks & Volume assessment. As manager of the Exploration Excellence Team, he performed in depth analysis of basins and plays and provided advice on exploration opportunities to senior management. Together with his team, he visited most of Shell's exploration offices, working hands-on with Shell's local exploration teams to generate new play and prospect ideas and to suggest evaluation techniques and technologies to apply. In 2010, he was appointed as extraordinary professor Regional and Petroleum Geology at the VU university of Amsterdam and in 2012 also at the University of Utrecht. He was visiting professor at the University of Malaya (Malaysia). Through his own consultancy, as of 2010, he provides advice on exploration activities to several companies and is regularly invited to carry out technical reviews. Activities cover all continents and include Portfolio Reviews, Prospect assessment, Play-based Exploration, and Geothermal activities. He conducts courses on several topics including Risk & Volume Assessment, Prospect Maturation, Basin Analysis, Play-based Exploration, Trap & Seal Analysis, Petroleum Geology for Non-geologists. Some of his recent publications include: De Jager, J. & van Winden, M. (2020): Play-Based Exploration of the petroleum potential of the Tremp-Graus, Aínsa and eastern Jaca Sub-basins in the southern Pyrenees. Invited contribution for Digital Geology, EAGE special publication (eds: Grötsch, J. & Pöppelreiter, M.) De Jager, J. (2020). Concepts of Conventional Petroleum Systems. Invited contribution for Regional Geology and Tectonics Volume 1: Global Concepts, Techniques and Methodology (eds: Adam, J., Chiarelly, D. & Scarselli, N.) De Jager, J. (2021): Handbook Risk & Volume Assessment. Self-published De Jager, J., Van Ojik, K & Smit, R. (2023 - in preparation): Geological Development of The Netherlands. In: Geology of The Netherlands (eds: Ten Veen, J., Vis, G-J., De Jager, J. @ Wong, T.) POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Imagine venturing into the dynamic world of affiliate marketing, harnessing the prowess of Amazon's vast marketplace to generate a stream of income. Our meticulously designed course, '14 Authority Sites For Learning Amazon Affiliate Marketing,' is the compass that will guide you through this lucrative realm. Delve into the expertise shared by industry titans across fourteen authoritative platforms, each module a stepping stone to becoming a savvy affiliate marketer. The curriculum is not just a series of lectures; it is a curated collection of wisdom, offering unparalleled insights from those who have built empires on the foundations of affiliate marketing. In this adventure, you will learn to craft compelling strategies, drawing upon the teachings of seasoned experts like Tung Tran and Jon Haver. As you progress, the course will introduce you to the architectural design of influential affiliate sites, reveal the secrets of income generation through tailored content, and uncover the nuances of driving traffic that converts. This learning path is paved with real-world examples, providing you a window into the successes crafted by professionals such as Spencer Hawes and Doug Cunnington, ensuring that every minute invested is a step toward your goal of mastering Amazon affiliate marketing. Learning Outcomes Discern the fundamental principles of Amazon affiliate marketing. Assess various strategies for building and maintaining successful affiliate sites. Evaluate the content that drives traffic and encourages click-throughs. Analyse the techniques for passive income streams from affiliate marketing. Synthesise knowledge from top affiliate marketers to create your own marketing approach. Why choose this 14 Authority Sites For Learning Amazon Affiliate Marketing course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this 14 Authority Sites For Learning Amazon Affiliate Marketing course for? Novices to affiliate marketing desiring a comprehensive introduction. Digital entrepreneurs aiming to diversify their revenue channels. Bloggers and content creators focusing on monetisation. Marketing strategists seeking insights into affiliate trends. Individuals committed to establishing a passive income online. Career path Affiliate Marketer: £20,000 - £60,000 Digital Marketing Specialist: £25,000 - £50,000 Content Strategist: £30,000 - £55,000 SEO Consultant: £25,000 - £50,000 E-commerce Manager: £35,000 - £70,000 Online Entrepreneur: £20,000 - £100,000+ Prerequisites This 14 Authority Sites For Learning Amazon Affiliate Marketing does not require you to have any prior qualifications or experience. You can just enrol and start learning.This 14 Authority Sites For Learning Amazon Affiliate Marketing was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Introduction To This Course Introduction To This Course 00:04:00 14 Authority Sites For Learning Amazon Affiliate Marketing Cloudliving - Tung Tran 00:04:00 Authority Website Income - Jon Haver 00:05:00 BrandBuilders - Andrew James 00:03:00 Niche Pursuits - Spencer Hawes 00:04:00 Niche Site Project - Doug Cunnington 00:03:00 Dumb Passive Income - Matthew Allena 00:03:00 Human Proof Designs - Dom Wells 00:04:00 Cloud Income - Lewis Ogden 00:03:00 Andrew Girardin 00:03:00 UpFuel - Chris Guthrie 00:05:00 Charles Floate 00:03:00 Matthew Woodward 00:03:00 Diggity Marketing - Matt Diggity 00:03:00 Smart Passive Income - Pat Flynn 00:04:00 Assignment Assignment - 14 Authority Sites For Learning Amazon Affiliate Marketing 00:00:00

CWSP training course description A hands-on training course concentrating solely on WiFi security with an emphasis on the delegates learning the necessary knowledge and skills to pass the CWSP exam. The course progresses from simple authentication, encryption and key management onto in depth coverage of 802.X and EAP along with many other security solutions such as access control, intrusion prevention and secure roaming. What will you learn Demonstrate the threats to WiFi networks. Secure WiFi networks. Configure: WPA2 RADIUS 802.1x EAP Pass the CWSP exam. CWSP training course details Who will benefit: Technical network staff. Technical security staff. Prerequisites: Certified Wireless Network Associate. Duration 5 days CWSP training course contents WLAN Security overview Standards, security basics, AAA, 802.11 security history. Hands on WLAN connectivity. Legacy 802.11 security Authentication: Open system, shared key. WEP. VPNs. MAC filters. SSID segmentation, SSID cloaking. Hands on Analysing 802.11 frame exchanges, viewing hidden SSIDs. Encryption Basics, AES, TKIP, CCMP, WPA, WPA2. Hands on Decrypting 802.11 data frames. 802.11 layer 2 authentication 802.1X: Supplicant, Authenticator, Authentication server. Credentials. Legacy authentication. EAP, Weak EAP protocols, Strong EAP protocols: EAP -PEAP, EAP-TTLS, EAP-TLS, EAP-FAST. Hands on Analysing 802.1X/EAP frames. 802.11 layer 2 dynamic key generation Robust Security Network. Hands on Authentication and key management. SOHO 802.11 security WPA/WPA2 personal, Preshared Keys, WiFi Protected Setup (WPS). Hands on PSK mapping. WLAN security infrastructure DS, Autonomous APs, WLAN controllers, split MAC, mesh, bridging, location based access control. Resilience. Wireless network management system. RADIUS/LDAP servers, PKI, RBAC. Hands on 802.1X/EAP configuration. RADIUS configuration. 802.11 Fast secure roaming History, RSNA, OKC, Fast BSS transition, 802.11k. Hands on Roaming. Wireless security risks Rogue devices, rogue prevention. Eavesdropping, DOS attacks. Public access and hotspots. Hands on Backtrack. WiFi security auditing Layer 1 audit, layer 2 audit, pen testing. WLAN security auditing tools. WiFi security monitoring Wireless Intrusion Detection and Prevention Systems. Device classification, WIDS/WIPS analysis. Monitoring. 802.11w. Hands on Laptop spectrum analysers. VPNs, remote access, guest access Role of VPNs in 802.11, remote access, hotspots, captive portal. Wireless security policies General policy, functional policy, recommendations.

What does this course cover? This is an online course for developing history leadership in primary teaching. This term, we will be piloting the course as an immersive programme covering the key elements of primary history subject leadership, enabling all involved in history leadership at primary to carry out their role effectively. How is this course structured and delivered? Sessions 1, 8 and 10 are compulsory to attend live. Participants will be required to complete a gap task after each session and contribute to an online reflection diary. The other sessions will be recorded for participants to work through at their convenience. Who is this course for? This programme is designed for anyone who is a subject coordinator or subject leader for history in their primary school. You may have just been appointed as a subject leader, or be more experienced but looking for formal training or fresh inspiration and direction. What are the outcome? This course will: equip you fully for the demands of history leadership in primary schools increase your confidence to develop an innovative, inclusive and effective history curriculum in your school develop your understanding of efficient action planning and how to make a wider impact help you to make the case for history with senior leaders enable you to enthuse others and lead staff meetings about history develop your understanding of current issues in primary history education The course will include a chance to share resources and assessment approaches, plus much more What will each session cover? Session 1: Introductory meeting (Live attendance) Wednesday 15 October 2025, 4pm–5.30pm Introduction and aims Reflection activity on the current state of history in your school Key responsibilities of the history subject leader Current Ofsted implications for the subject and what to expect in an inspection How the HA and latest Ofsted material can support you Session 2: What makes an effective history subject leader? (Recorded) How to effectively support teachers and learners as a history leader How to create a vision, lead change, and manage time Effective action planning and improvement Auditing your history provision and building your evidence trail Developing an innovative, inclusive and effective history curriculum in your school Disciplinary knowledge: What is history? What do historians do? Suggested gap task: Conducting teacher and/or pupil voice questionnaires. Compulsory gap task: Add to your reflection diary for the programme. If relevant, reflect on how you will use the teacher questionnaire or pupil voice. Session 3: What makes effective teaching of history? (Recorded) The role of the teacher Supporting SEND pupils Securing substantive knowledge and concepts across the curriculum How to support colleagues by identifying core knowledge How to involve the whole staff in mapping out and embedding the progression of concepts across the curriculum Suggested gap task: Consider SEND in your curriculum. Compulsory gap task: Add to your reflection diary for the programme reflecting on SEND. Session 4: Curriculum and practice at EYFS (Recorded) Unpicking and supporting the requirements of the EYFS curriculum and Development Matters Developing historical and chronological understanding in EYFS as part of Understanding the world Progression and transition from EYFS to Key Stage 1 Ensuring coherence: how to start developing concepts Making use of the local history on your doorstep for EYFS and KS1 Accessing resources and support for EYFS Suggested gap task: Fact finding and liaison. Compulsory gap task: Add to your reflection diary for the programme reflecting on current EYFS practice. Session 5: Curriculum and practice at Key Stage 1 (Recorded) Unpicking and supporting the requirements of the National Curriculum for KS1 Progression: building upon transition from EYFS What do KS1 require before KS2? Ensuring coherence: further developing the school’s chosen substantive concepts How to develop disciplinary concepts Developing appropriate chronological understanding in KS1 Enhancing and engaging children’s knowledge and retention through enquiry The use of working walls in KS1 to support learning Accessing resources and support for KS1 Suggested gap task: Check your KS1 curriculum for coverage and progression, building upon what they have learnt in EYFS. Compulsory gap task: Add to your reflection diary for the programme reflecting on KS1 practice in your setting. Session 6: Curriculum and practice at Key Stage 2 (Recorded) Unpicking and supporting the requirements of the National Curriculum for KS2 How to incorporate local history with progression in KS2 What do we want the children in Year 6 to leave with? Developing appropriate chronological understanding in KS2 Preparing for transition to Key Stage 3 Ensuring coherence: building upon the school’s chosen concepts for progression What the HA can do to support the teaching of KS2 units? Resources and support for KS2 Suggested gap task: Check your KS2 curriculum for coverage and progression, building upon what they have learnt in EYFS and KS1. Compulsory gap task: Add to your reflection diary for the programme reflecting on KS2 practice in your setting. Session 7: Approaching sensitive issues in history (Recorded) What do we mean by diversity in history and why is it important? How to ensure a wider diversity in your history teaching Barriers to making the curriculum more diverse and how to overcome them Approaches to sensitive issues in history lessons, including: - Refugees and migration history - War - Climate change Suggested gap task: Consider opportunities for increasing diverse voices and raising climate issues in your curriculum. Compulsory gap task: Add to your reflection diary for the programme considering how you might address the sensitive or current issues raised in this session. Session 8: Interim review meeting (Live attendance) Monday 19 January 2026, 4pm–5.30pm A review session allowing subject leaders to reflect upon their progress so far Opportunity to respond to suggestions, clarify information, or raise issues from the previous sessions Time to ask questions, share good practice or recommended resources with the rest of the cohort Suggested gap task: Time to follow up on anything raised in this session or to complete any previous tasks, following clarification and inspiration from this session. Compulsory gap task: Add to your reflection diary for the programme, reflecting on your priorities and actions using suggestions from the presenter or other delegates. Session 9: Assessment and evidence (Recorded) Assessment and expectations A word about writing Triangulating the evidence What to look for in a work scrutiny Suggested gap task: Conduct a work scrutiny on one aspect to check across the school, in conjunction with a focused pupil voice on the same aspect. Compulsory gap task: Add to your reflection diary considering how you will conduct a work scrutiny and what you will focus on – or, if relevant, reflect on what you discovered and how you will address any issues. Session 10: Final meeting (Live attendance) Wednesday 11 February 2026, 4pm–5.30pm Following up any requests arising from the interim meeting (Session 8) Discussion or clarification of any issues arising from previous sessions Discussion of priorities, next steps and any issues Sharing ideas for enthusing others and leading staff meetings: “What worked for me?” Communicating with headteachers, governors, colleagues and parents Are you ready for the HA Quality Mark? Suggested gap task: Identifying your school’s next steps Compulsory gap task: Complete your final piece in your reflection diary.

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