1867 Summary courses

Lean Six Sigma Green Belt Certification Program: On-Demand This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions. What you Will Learn At the end of this program, you will be able to: Identify strategies for effectively leading high performing process improvement teams Analyze whether projects align with business strategy Apply process improvement methodologies to DMAIC steps, based on real world scenarios Explain ways to appropriately respond to process variation Distinguish among best practice problem solving methodologies Evaluate and effectively communicate data-driven decisions, based on real world scenarios Introduction Lean Six Sigma & quality The vision The methodologies The metric Project Selection Why Projects Random idea generation Targeted idea generation CTQs (Critical to Quality) & projects Project screening criteria Quick improvements Introduction to Define Project Planning Developing the core charter Developing a project charter Facilitation Process Management Business process management Top-down process mapping Voice of the Customer Voice of Customer Stakeholder analysis Communication planning Kicking off the project Define Summary Introduction to Measure Data Collection Fact-based decision making Data sampling Operations definitions Data collection plan Measurement system analysis Graphical Statistics for Continuous Data Meet Six SigmaXL Graphical & statistical tools Data stratification Graphical Statistics for Discrete Data Pareto analysis Dot plots Plotting data over time: Looking for patterns Variation Concepts Variation is reality Special Cause and Common Cause variation Example of standard business reporting Individuals Control Chart Process Capability Genesis of process capability Calculating the metrics of Six Sigma Yield metrics: Measuring process efficiency Cost of Poor Quality The Cost of Poor Quality (COPQ) Cost of Quality categories Calculating the Cost of Poor Quality Measure Summary Introduction to Analyze Process Analysis Introduction to process analysis Value-added analysis Cycle time analysis WIP & pull systems Analyzing bottlenecks and constraints Cause & Effect Analysis Fishbone/Ishikawa diagram 5-Whys analysis Graphical & statistical tools Advanced Analysis Why use hypothesis rests? Hypothesis tests Correlation and regression analysis Analyze Summary Introduction to Improve Solutions Creativity techniques Generating alternative solutions Solution selection techniques Introduction to Design of Experiments Introduction to DOE DOE activity Error Proofing Failure mode & effect analysis Poka-Yoke Project Management Fundamentals Successful teams Project roles Conflict management Standardization Standardization The Visual Workplace 5S Piloting & Verifying Results What is a pilot? Evaluating results Improve Summary Introduction to Control Statistical Process Control Review of Special & Common Cause variation Review of Individual Control Chart P-Chart for discrete proportion data Transition Planning Control plan Project closure Control Summary Summary and Next Steps

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

SMPTE 2022 training course description SMPTE 2022 is the standard for IP video transport in the broadcast industry. This course covers the seven section of the standard in detail. Particular attention is given to FEC and seamless protection switching areas of the standard. What will you learn Use Wireshark to analyse. SMPTE 2022 streams. Explain the role of FEC in SMPTE 2022. Explain how SMPTE 2022 provides resilience. SMPTE 2022 training course details Who will benefit: Anyone working with TV distribution. Prerequisites: TCP/IP foundation for engineers Duration 1 day SMPTE 2022 training course contents Introduction What is SMPTE 2022, SMPTE 2022 parts. SDI over IP. Contribution and distribution versus delivery. The SMPTE 2022 protocol stack SMPTE 2022-2 (mapping of MPEG TS into IP) and SMPTE 2022-6 mapping uncompressed video into IP. IP: Best effort, connectionless, DF flag, routers, Diffserv, RSVP. IPv6. UDP: Unreliable, connectionless, broadcasts, multicasts and unicasts. RTP RTP, ports, payloads types, sequence numbers, timestamps. RTP header extensions. RTCP. MPEG2-TS: Elementary streams, transport over IP. FEC Forward Error Correction. SMPTE 2022-1, SMPTE 2022-5. Logical rows and columns. 1D and 2D parity. FEC header format. FEC configuration and choosing dimensions. FEC traffic shaping. Overheads and delays. Seamless protection switching IP failover. SMPTE 2022-7: Sending two matching streams over different paths. Stream synchronization. The HBRMT header. Calculating the packet to switch over. Summary Summary of the 7 sections of the SMPTE 2022 standard. Clock recovery.

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

Microsoft Project Orange Belt ® 2013 - Español: On-Demand This course is intended for both novice and experienced project managers, or any user of Project 2013. Participants must be involved in or be responsible for scheduling, estimating, budgeting, coordinating, controlling, and staffing projects and supporting projects. Project 2013 users. This course is intended for both new and experienced project managers, or any user of Project 2013. Participants must be involved in or responsible for scheduling, estimating, budgeting, coordinating, controlling, and staffing projects and supporting Project 2013 users. What You Will Learn Understand what's new in the Project 2013 release. Initialize Project to start flattening. Create a good project schedule, including WBS, estimates, dependencies, constraints, deadlines, and calendar usage. Assign resources and costs to tasks. Understand the types of tasks and the scheduling formula. Analyze the use of resources and optimize the schedule. Establish a baseline and a progress monitoring strategy. Use Earned Value Explain the potential of managing multiple projects. Ready to Go with Project 2013 Summary of Project 2013 Establish a new Project Schedule (Options, templates, files, etc.) Set the Project Schedule Enter Tasks The Planning Process Importar Tareas (Word, Excel, SharePoint) Create and manage a WBS (includes tasks, manual tasks, summary tasks, milestones, and WBS coding) Enter Estimates Trends in estimates The Gradual Planning Approach Enter Estimates on Duration and Effort Task types Enter Dependencies The principles of Dynamic Programming Types of Dependencies Selecting the right type of dependency Enter Dependencies in Project 2013 Understanding Due Dates, Restrictions and Task Calendar Use Deadlines and Restrictions Enter Deadlines and Restrictions in Project 2013 Enter Resources and Costs Resource Types Enter Resources in Project 2013 Calendars and Resources Enter Costs in Project 2013 Enter Assignments Assignments on a Schedule Assignments and Task Types Enter Assignments in Project 2013 Allocations and Costs Optimize the Schedule The Critical Path Method and the Resource Critical Path Resource Leveling Optimize Time, Cost and Resources in Project 2013 Update Schedule the baseline Strategies and Update Situations Prepare the Status and Forecast Report in Project 2013 Reports Using reports and dashboards Using visual reports Format and print reports Customize fields and views Earned Value Management (EVM) Earned Value Summary Applying Earned Value in Project 2013 Evaluate the Project Why evaluate? Compare results against baselines Generate templates for future projects Consolidated Schedules Creating a Consolidated Schedule Use a resource group Links between projects Solving common problems Baseline and follow-up