18644 Other 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)

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  A few decades ago, the purchasing function in an Oil & Gas company was seen only as a procurement function in charge of supplying goods and services defined by the end user. Over the years, the purchasing function has won its letters of nobility and has proven to be a powerful leverage of savings and cost reduction. In the upstream Oil & Gas sector, where production sites are spread everywhere and sometimes in very isolated areas, purchasing & procurement performs an important mission to secure the supply of high-tech equipment which will travel all over the world before being installed offshore or in remote areas. These two objectives, cost saving and securing of supply, make the purchasing & procurement a strategic function and an essential segment of the supply chain as it drives the other steps in the chain.   Training Objectives By the end of the course, the participants will feel confident in their understanding of: The supply chain functions in the upstream Oil & Gas industry and its objectives. The purchasing process from the identification of a need to its satisfaction within the specifications, planning and budget. The strategic tools of the buyer: The category management and market analysis, the definition of the frame agreement and contracts. The creation of value for their organization by using the leverages of the purchasing process from the selection of supplier, the cost analysis and the negotiation. Target Audience This course is primarily designed for purchasers or head of purchasing/procurement. It is also necessary for other stake holders in the supply chain, including expediters, stock controllers and cost controllers. This course is also recommended for the participants in the logistics function who want to enlarge their knowledge domain of the supply chain. Finally, the supply chain administrators from the technical departments may also find this course necessary in order to facilitate their interaction with the purchasing department. Course Level Basic or Foundation Trainer Your expert course leader has 25 years of experience in management positions in Contracting, Procurement and Logistics, mainly in the Oil & Gas Industry. He was a Lecturer for IFP Training for 5 years. During his Oil & Gas industry experience, he has worked on major Oil and Gas development projects like the Yadana project in Myanmar, Akpo project in Nigeria and YLNG in Yemen. His international experience allows him to adapt very easily and integrate the multicultural specificities of the Oil & Gas industry in his teaching. 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

Classroom based, instructor led workshop with proctor at home exam. The lab-intensive Certified SOC Analyst (CSA) program emphasizes the holistic approach to deliver the advanced knowledge of how to identify, validate and defend against cyber-attacks.

Enhance patient care with our "Understanding Physiological Observations" course. Gain comprehensive knowledge and skills to accurately assess and interpret vital signs and other measurements.

The Real Estate Investment School is a four day course, that unravels the complexity of Investment Cash Flows through Advanced Modelling, Interpretation and Theory.

MySQL foundation training course description The MySQL foundation course covers the basics of the SQL language as implemented by MySQL. The course is designed to give delegates practical experience in writing SQL statements using the MySQL client program and MySQL Workbench. The basic SQL statements, including the use of SQL functions and the basic table and view handling statements are introduced. What will you learn Create, alter and drop a MySQL database. Write SQL statements. Use SQL expressions and functions. Create and alter tables, indexes and views. Use transactions. Grant and revoke access privileges. Export and import data. MySQL foundation training course details Who will benefit: Anyone who needs to access and work with a MySQL Database. Prerequisites: An understanding of databases and exposure to information technology in general would be useful. Duration 3 days MySQL foundation training course contents Database concepts What is a database? database management systems, tables, rows and columns, indexes, primary keys, unique constraints and foreign keys, client-server architecture, supported data types, storage engines and table types, Information_Schema and MySQL Databases. Hands on using a database. Using the MySQL client What is the MySQL client? getting started and logging in, selecting a database, client commands, entering and executing SQL statements, retrieving previous commands, creating, editing and executing SQL files, redirecting output into a file, command line execution of MySQL scripts. Hands on Using the MySQL client. Basic SELECT The SQL SELECT statement, case sensitivity, quotes, statement terminator, syntax conventions, SELECT clause, FROM clause, conditions and the WHERE clause, logical operators, ORDER BY clause, column aliases, arithmetic expressions, precedence of operators. Hands on querying the sample database. LIMIT, UNION and AGGREGATE functions The LIMIT clause, UNION, UNION ALL, aggregate functions, GROUP BY clause, using Rollup with GROUP BY, HAVING clause. Hands on using limit, union and aggregate functions. Subqueries and joins Subqueries, cartesian products, table aliases, natural joins, join using, join on, multi-table joins. Hands on using subqueries and joins. Numeric and character functions Function types, testing functions, numeric functions character functions. Hands on using numeric and character functions. Data, time and other functions Date and time column types, date and time formats, Date format function, functions to return date time, functions to extract components from date time, date time arithmetic, miscellaneous functions. Hands on using date, time and other functions. Databases and tables Creating a database, selecting a database, creating tables, Auto_increment, show create table, column operations, constraint operations, copying tables, renaming tables, changing engine for tables, dropping tables, temporary tables. Hands on maintaining databases and tables. Indexes and views What is an index? creating an index, reviewing indexes, dropping indexes, what is a view? creating views, view restrictions, dropping views. Hands on maintaining indexes and views. Managing data Inserting rows, replacing rows, updating rows, deleting rows, Truncate statement, The COMMIT and ROLLBACK commands, savepoints, implicit commits. Hands on managing data. Access control Creating users, renaming users, dropping users, granting privileges, revoking privileges. Hands on creating users, granting and revoking. Import and export Exporting using SQL, importing using SQL, exporting from the command line, importing from the command line. Hands on export and import data.

QA Level 2 Award In Basic Life Support And Management Of Anaphylaxis (RQF) Half day course Gives learners the knowledge and skills to save someone who is in anaphylactic shock Also covers how to prevent this happening in the first place Also available as a bolt-on to certain other courses Course Contents: Incident and Casualty Management Managing an Unresponsive Casualty Recovery Position The Chain of Survival CPR Signs and Symptoms of Anaphylaxis Treatment of Anaphylaxis Medication Use of Adrenaline Auto-Injectors Benefits of this course: Anaphylaxis is a severe and life-threatening allergic reaction, which requires immediate medical attention Did you know that in 2014 there were over 4,000 hospital admissions for anaphylactic shock in England? Every year, the number of those suffering from anaphylaxis is increasing. This makes it very important for people to know what to do when encountering someone who is having an anaphylactic shock This QA Level 2 Award in Basic Life Support and Management of Anaphylaxis (RQF) course has been designed for those who have a specific responsibility at work, at home or as a volunteer, to provide basic life support and manage anaphylaxis when dealing with an emergency Successful applicants will be able to recognise the signs and symptoms of anaphylaxis and will be equipped with the vital skills needed to administer safe, prompt and effective treatment. This includes practising with adrenaline auto-injectors. Accredited, Ofqual regulated qualification: Our Basic Life Support and Management of Anaphylaxis training course is a nationally recognised, Ofqual regulated qualification accredited by Qualsafe Awards.This means that you can be rest assured that your Basic Life Support and Management of Anaphylaxis Certificate fulfils the legal requirements and is a very good way to make sure you and your employees are trained in Management of Anaphylaxis..The Ofqual Register number for this course is 603/2548/3

Duration 3 Days 18 CPD hours This course is intended for Participants must possess a valid data centre training certificate such as CDCP or any other approved equivalent. Please submit a copy of your certificate for verification upon registration for the CTDC course. Overview After completion of the course the participant will be able to:1. Learn to properly comprehend and apply the ANSI/TIA-942 Standard requirements and guidelines2. Understand the proper intent of the ANSI/TIA-942 Standard to avoid both over- and/or under-investment3. Align the selection of redundancy levels and infrastructure investments to the business requirements.4. Understand the criteria and requirements for a high-availability data centre design and how to effectively establish the data centre from the perspective of the ANSI/TIA-942 Standard5. Understand how the ANSI/TIA-942 Standard relates to various worldwide standards This course, the participant will learn how to design an ANSI/TIA-942 compliant data centre. It will provide a clear understanding of the requirements of the ANSI/TIA-942 Standard and possible implementation variations. Introduction to Data Centre Facilities About the ANSI/TIA-942 Life of the ANSI/TIA-942 Standard Relation to other standards Architectural Electrical Mechanical Telecommunication Areas under scope High level redundancy definitions Redundancy options (N, N+1 etc.) Fault tolerant Concurrent maintainability Compartmentalisation Examples of redundancy levels Data Centre Space PlanningData Centre TopologiesRecommendations for Energy EfficiencyArchitectural Site selection Parking Multi-tenant building Building construction Vapor barrier Roofing Floor loading Raised flooring Suspended/drop ceiling Hanging load Seismic Building Security & Safety Security CCTV Staffing Bullet/ballistic proofing Lighting Safety - Signage Building and Room Access Security checkpoints Entry lobby Doors and windows Exit corridors Shipping and receiving areas Room/Area Design Requirements Administrative offices Security offce Operations centre Restroom and break room UPS/Battery rooms Generator and fuel storage area Computer room Electrical Utility power - Substation - Feed requirements - Self-generation HT/HV switch gear Generator and fuel supply LT/LV switch gear - ATS - Alternatives to ATS UPS and batteries PDU STS Grounding Surge protection EPO Central power monitoring Load banks Testing Equipment maintenance - Preventive maintenance - Facility training programs Mechanical Environmental design - Temperature and humidity requirements - Contamination - Sources - Clean air - Pressurisation - Radio sources - Vibration - Water ingress Water cooled systems - Heat rejection - Chilled water system - Condenser water? - Make up water Air cooled systems HVAC control systems Plumbing - Pipe routing Fire suppression Water leak detection Telecommunications Network topology Redundancy level design Media and connectors Cabling pathways Detailed cabling design considerations Administration and labeling Cable testing Data centre fabrics Exam: Certified TIA-942 Design Consultant Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Satellite communications training course description This course starts by recaping some of the essential satellite knowledge required and proceeds to explore the deeper aspects of satellite communications, including hardware, communications and error control coding. What will you learn Explain how satellite communications work. Explain how RF works Explain the architecture of satellite systems. Use spectrum analysers. Satellite communications training course details Who will benefit: Anyone working with satellite systems. Prerequisites: None. Duration 3 days Satellite communications training course contents Basic Principles of Satellite Communications GEO, MEO and LEO satellites. Launching and orbits. Frequency bands and polarisation. Satellite footprints. Multibeam coverage. Power spectra. Link budgets. Modulation and coding. Access technologies. Earth station components. Space segment components. Satellite system services. Satellite operators. Radio frequency propagation Electromagnetic waves principles and generation. Reception of the EM wave. Space wave, sky wave and surface wave theory. The isotropic radiator. Types of antennae and their basic properties. Polar diagrams. International frequency allocation. Spectrum management and utilisation. Radio wave propagation. Line of sight propagation. Propagation for satellite comms. Free space path loss. Path attenuation. Noise and Interference. Power and its measurement. Satellite antennae and other hardware Power flux density. Effective aperture. Horn antennae. Parabolic reflector. Offset feed. Cassegrain and Gregorian antennae. Antenna feed systems - Horn, TMC, OMJ and polarizer. Antenna steering and mount systems. Array antennae. LNA, LNB, LNC. Microwave tubes - TWT and Klystron. Polarizers. Earth and Space Segments and the link Earth station antennae. Transponders. Antennae sub systems. Power supplies. Link budgets. System noise. System losses. Interference. Satellite switching. Ground Communications Equipment Baseband signals. Analogue and Digital systems. Overview of modulation - AM, FM, PM. Digital Modulation. Frequency conversion -up and down conversion. Filters, mixers, local oscillators, IF amplifiers and group delay equalisers. Access methods - single and multiple access systems. Data networks. Television transmission - analogue and digital. Digital signal compression. MPEG processing. Satellite Navigation Longitude, latitude, altitude, GPS, How GPS works, timing, alternatives to GPS. Mobile satellite services Voice and Phones, BGAN, TV, GPS to program aerial, VSAT. Error Control Coding The need for coding. Linear block codes. Cyclic codes. Convolution codes. Interleaving and concatenated codes. Coding gain. Turbo codes. Test and measurement Theory and practice of Spectrum Analysers.