20481 Courses

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)

About this Training Course This course aims to help geologists, geophysicists, stratigraphers and reservoir engineers gain a thorough understanding of the concepts and practical applications of sequence stratigraphy through integration of seismic sequence stratigraphy with well log sequence stratigraphy and the application of biostratigraphy to sequence stratigraphy. The course examines the geological principles, processes and terminology related to the interpretation and use of seismic sequence stratigraphy and its integration with well log sequence stratigraphy and biostratigraphy. Concepts are illustrated with field examples of seismic, well-log, core, and outcrop data and reinforced with practical exercises using real data. Course Content in Summary: Introduction to concepts, eustatic controls, seismic stratigraphy and definition of key terms. Controls - eustatic and basinal controls, accommodation and equilibrium types, systems tracts and systems tract boundaries. Sequences and systems tracts - highstand, falling stage, lowstand, transgressive and shelf margin systems tracts. Key surfaces and their identification from well logs, core, outcrop and seismic reflections. Sequence expression in well logs - log characters of parasequences, maximum flooding surfaces and criteria for picking sequence boundaries. Interpretation of systems tracts from well logs - integration of well log sequence stratigraphy with seismic sequence stratigraphy. Seismic expression of sequences - Interpretation of seismic reflections in depositional sequences - seismic sequence; seismic facies. Clastic and carbonate depositional environments - depositional responses to changes in relative sea level. Mixed systems and evaporites. Variations on the model. A review of application and exploration significance. Training Objectives By the end of this course, participants will be able to: Gain an understanding of sequence stratigraphic controls and concepts. Recognise sequence stratigraphic surfaces, systems tracts and stratigraphic sequences on well-log cross-sections, seismic lines, and outcrop profiles and depositional facies. Construct a sequence stratigraphic model by integrating lithological, biostratigraphical, seismic and well data. Apply sequence stratigraphy effectively for facies predictions in exploration and production. Target Audience This course will benefit explorationists, geologists, stratigraphers and geophysicists who wish to extend their knowledge through integration of seismic sequence stratigraphy with well log sequence stratigraphy. Trainer Your expert course leader is the Geosciences Technical Director for PetroEdge. She was previously, the manager of Robertson Petroleum Training Centre and a Senior Project Scientist at Robertson CGG. She has over 20 years of experience in teaching geology and leading field trips. Prior to her 8 years at Robertson, she was in academia as a lecturer for 6 years and a Research Fellow for 3 years. She has conducted fieldwork and led field trips in the US and many areas in the UK. In addition, she has led university regional geology day schools and has comprehensive experience in course and study programme writing. She has extensive experience in delivering courses and in Clastic and Carbonate Reservoir Geology, Deepwater Turbidites, Sandstone Reservoirs, Wireline Log Interpretation, Integrated Sequence Stratigraphy, Basin Analysis and Exploration & Appraisal workshops globally. In delivering the Exploration Team Management Workshop, she has project managed and taught key principles and modules on project planning, data collection/collation, geophysical assessment, stratigraphy and facies mapping, source rock facies and hydrocarbon generation, play fairway mapping, risking and prospect evaluation. Her knowledge and enthusiasm for instructing is reflected in consistently being rated as excellent by trainees, and clients specifically requesting her participation in courses. 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

CWDP training course description The CWDP course consists of instructor-led training applicable to the design of wireless LANs using the latest technologies including 802.11n and 802.11ac. The course goes in-depth into the design process and provides attendees with the knowledge needed to plan, deploy and test modern 802.11-based networks. It also prepares students for the CWDP examination. Students who complete the course will acquire the necessary skills for preparing, planning performing and documenting site surveys and wireless LAN design procedures. What will you learn Design enterprise WiFi networks. Select appropriate antennas and Access points. Perform site surveys. Describe the security requirements required for enterprise networks. Test, validate and troubleshoot installations. CWDP training course details Who will benefit: Anyone looking for the skills to analyze, troubleshoot, and optimize any enterprise level Wi-Fi network, no matter which brand of equipment your organization deploys. Anyone looking to become a CWNP. Prerequisites: CWNA Duration 5 days CWDP training course contents WLAN design overview Importance of good design, Impact of bad design, Design process, Design skills, Design toolkit. Requirements analysis Pre-planning, Customer interaction, Requirements gathering, Discovering existing systems, Documenting the environment, Defining constraints, Creating documentation. Designing for clients and applications Client Device types, Application types, Application-specific design, High density design issues. Designing for industry Standard corporate networks, Industry-specific designs, Government, Healthcare, Hospitality, Retail, Public hotspots, Transportation, Mobile offices, Outdoor and mesh, Remote networks and branch offices, Last-miles / ISP and bridging. Vendor selection processes Defining vendor issues, Operational planes, Design models, Understanding architectures. Radio Frequency (RF) planning RF spectrum, RF behaviors, Modulation and coding schemes, RF accessories, Throughput factors. WLAN hardware selection Antennas, 802.11n and antennas, Choosing Aps, Powering Aps. Site surveys Site survey tools, Site survey preparation, Predictive site surveys, Manual site surveys, Site survey principles and processes. Designing for Quality of Service (QoS) QoS overview, QoS application points, Roaming support. Designing for security Bad security, Authentication solutions, Encryption solutions, Security best practices, Intrusion prevention. Installation testing, validation and troubleshooting Network health status, Troubleshooting and validation process, Troubleshooting and validation tools, Common problems. Hands-on lab exercises Hands-on labs depend on the audience and can include use of: Spectrum analyzers, Protocol analyzers, Site Survey software, Diagramming software, Various wireless access points, Various wireless adapters and antennas.

Our Tignes Level 2 FastTrack is perfect for those who already have their BASI Level 1 but want a bit of extra support as they approach their BASI Level 2. The jump between the BASI Level 1 and BASI Level 2 ski instructor qualifications is quite a significant one, but this course gives you focused training leading directly into the exam so you can make sure you’re skiing your best as you go into the assessment.

Emotional Intelligence and Artificial Intelligence for Business Manager Boost your leadership with Emotional Intelligence. Integrate Artificial Intelligence for strategic advantage. Excel as a Business Manager with a balanced mastery of Emotional Intelligence and AI. Learning Outcomes: Explain the role of Emotional Intelligence in business management. Assess your Emotional Intelligence and Self-Awareness. Cultivate relationships using Emotional Intelligence techniques. Evaluate the impact of Artificial Intelligence on business processes. Innovate business models using Artificial Intelligence insights. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from Emotional Intelligence and Artificial Intelligence for Business Manager: Introduction to Emotional Intelligence: Understand the fundamentals and significance of Emotional Intelligence in managerial roles. Emotional Intelligence Self-Awareness: Gauge and improve your self-awareness using Emotional Intelligence tools. Relationships in Emotional Intelligence: Build and manage professional relationships through Emotional Intelligence. Artificial Intelligence for Business: Learn how Artificial Intelligence can reshape traditional business paradigms. Artificial Intelligence on Business Models: Reconfigure your business models effectively using Artificial Intelligence. Creativity and Innovation on AI: Harness the power of AI to fuel creativity and innovation in business management.

The Master of Business Administration (MBA) is a prestigious postgraduate qualification that is highly valued by leading employers. It can boost your salary, increase your professional reputation and expand your networking opportunities. If you're a graduate with some business experience and ambitions for a high-flying career, studying for an MBA could be just what you need to make the next step. Our 24 months MBA programme equips you to think logically, laterally and independently through 2 stage intensive, immersive, and challenging programme. With the advantage of studying on the job, anytime and anywhere, you get Cost Advantage and same degree which is given to full time students at the University Campus. This 24 months MBA programme is not just an academic course. By exploring and examining real-life business problems to work on and solve, you enhance your own understanding of how a business works. We take a strategic perspective on business and management that helps you develop the skills to contribute to the major business decisions organisations have to make about their future. Program Overview: Master of Business Administration (MBA) - 24 Months Key Highlights of Master of Business Administration (MBA) - 24 Months qualification are: Fully Recognized and Globally Accepted Degree Program Duration: 24 Months (12 months / 18 months duration programme also available) Program Credits: 180 Designed for working Professionals Format: Online Student to faculty ratio of just 15:1 No Written Exam. The Assessment is done via Submission of Assignment and University Dissertation Project Same Degree which is given to Full Time students at the University Campus. Study material: Comprehensive study material and e-library support available at no additional cost. Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Doctorate / PhD programme. LSBR Alumni Status No Cost EMI Option Top Skills You Will Learn MBA 24 months is widely seen as a passport to a successful career. It demonstrates the breadth and depth of your functional competence, strategic knowledge and problem-solving ability. Course Structure: MBA 24 MonthsThis 24 months MBA programme consists of 2 Stages.Stage 1: This stage is delivered by London School of Business and Research. The programme involves delivery through on-line Learning Management System (LMS). This stage leads to award of Level 7 Diploma in Strategic Management and Leadership. Credits earned at this stage - 120 credits (60 ECTS). Mandatory units Strategic Management (20 Credits)Strategic Leadership (20 Credits)Strategic Human Resource Management (20 Credits)Advanced Business Research Methods (20 Credits) Optional units(Choose any 2units to make 120 credits) Strategic Financial Management (20 Credits)Supply Chain and Operations Management (20 Credits)Entrepreneurship and Innovation (20 Credits)Globalisation and Corporate Governance (20 Credits)Strategic Change Management (20 Credits)Strategic Marketing (20 Credits) Successful completion of Stage 1 leads to Progression to Stage 2Stage 2: Delivered by the University / awarding body. On completion of the diploma programme you progress / Top up with Degree through a UK University for progression to the MBA degree. The stage 2 is delivered via distance learning by faculties from the University / awarding body. Credits earned at this stage - 60 credits (30 ECTS). Completion of Stage 2 leads to award of MBA Degree Dissertation Project Successful completion of Stage 2 leads to award of Degree by the university. Who is this course for? MBA in 24 Months programme is ideal for working professionals, successful managers, executives and professionals who want to take their career to a new level and Ambitious people who want to fast track their chosen career or start a new enterprise

Solution Focused Hypnotherapy Training Academy in Manchester and the North West

Solution Focused Hypnotherapy Training Academy in Liverpool and Merseyside

Solution Focused Hypnotherapy Training Academy in Chester, Cheshire and North Wales

Solution Focused Hypnotherapy Training Academy in Birmingham and the Midlands