931 Mapping courses delivered Online

Duration 3 Days 18 CPD hours This course is intended for The CompTIA Cloud Essentials+ Specialty certification is relevant to IT specialists, IT technical services specialists, IT relationship managers, IT architects, consultants, business and IT management, business process owners, and analysts. Overview Upon successful completion of this course, students will be able to: Learn the fundamental concepts of cloud computing. Learn the business aspects and impact of cloud computing. Differentiate the types of cloud solutions and the adoption measures needed for each. Identify the technical challenges and the mitigation measures involved in cloud computing. Identify the steps to successfully adopt cloud services. Identify the basic concepts of ITIL and describe how the ITIL framework is useful in the implementation of cloud computing in an organization. Identify the possible risks involved in cloud computing and the risk mitigation measures, and you will also identify the potential cost considerations for the implementation of cloud and its strategic benefits. Students will weigh the pros and cons of cloud computing to make effective decisions and meet IT challenges. 1 - Understanding Cloud Computing Concepts Topic A: Understand Basic Cloud Concepts and Terms Topic B: Identify Cloud Network and Cloud Storage Technologies Topic C: Recognize Cloud Design Aspects 2 - Applying Cloud Business Principles Topic A: Relate Cloud Concepts to Business Principles Topic B: Establish Cloud Vendor Relations Topic C: Distinguish the Financial Aspects of Engaging a Cloud Service Provider Topic D: Report Financial Expenditures 3 - Advising a Cloud Design and Migration Topic A: Relate Cloud Concepts to Cloud Design and Migration Topic B: Use Cloud Assessments Topic C: Manage Cloud Design Topic D: Compare Cloud Migration Approaches Topic E: Identify Benefits and Solutions of Cloud Services 4 - Operating in the Cloud Topic A: Relate Cloud Concepts to Technical Operations Topic B: Identify the Technical Aspects of Cloud Operations Topic C: Understand DevOps in the Cloud Topic D: Explain Cloud Security Concerns, Measures, and Concepts 5 - Managing Cloud Governance Topic A: Relate Cloud Concepts to Governance Topic B: Apply Risk Management Concepts Topic C: Understand Compliance and the Cloud Topic D: Manage Policies and Procedures for Cloud Services 6 - Appendix A: Mapping Course Content to the CompTIA Cloud Essentials+ (Exam CLO-002) 7 - Appendix B: CompTIA Cloud Essentials+ (Exam CLO-002) Acronyms 8 - Glossary 9 - Index Additional course details: Nexus Humans CompTIA Cloud Essentials Plus Certification (Exam CLO-002) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the CompTIA Cloud Essentials Plus Certification (Exam CLO-002) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Description Data Science Diploma Introducing the Data Science Diploma, an online course tailored for those eager to step into the dynamic world of data science. This comprehensive programme ensures participants grasp the essence of contemporary data science techniques, tools, and theories. At the core of this Data Science Diploma is the module titled Foundations of Data Science. It sets the groundwork by instilling fundamental principles, thereby preparing learners to navigate the expansive sea of data efficiently and effectively. As one progresses, the intricate elements of Data Engineering and Big Data come into play, elucidating how vast amounts of data are managed, stored, and processed. An essential aspect of data science lies in understanding uncertainty and making informed decisions. To this end, Probability and Statistics in Data Science offers learners the tools to decipher patterns, predict trends, and make data-driven decisions. Following closely, Clustering and Classification Techniques provide a deep understanding of how to categorise data into specific groups based on inherent characteristics, paving the way for more precise analysis. But what's data science without the necessary mathematical prowess? The Advanced Mathematical Modeling module hones this skill, enabling learners to craft intricate models that can simulate real-world scenarios. Such models act as the backbone of various data analyses and offer a detailed understanding of the underlying processes. The saying, 'A picture is worth a thousand words,' holds especially true in data science. With the Data Visualisation Principles and Design module, learners are equipped with the knowledge to translate complex data into visually compelling stories. This understanding is further solidified with the Web-Based Data Visualisation Tools, offering hands-on experience in using cutting-edge tools to portray data visually. The course recognises the growing demand for intuitive dashboards that provide real-time insights. The Dashboard Design and Mapping module aids participants in creating interactive and user-friendly dashboards, ensuring stakeholders get a clear and concise view of the data. Yet, as one manoeuvres through these diverse modules, a foundational understanding of computing becomes paramount. Hence, Computing for Data Science takes centre stage, familiarising learners with the computational aspects of data analysis, from algorithms to data structures. Concluding the Data Science Diploma is the module on Domain-Specific Data Science Applications. This segment offers a glimpse into how data science principles are applied across different sectors, from healthcare to finance. It accentuates the versatility of data science, proving its indispensable nature in today's digitised world. To sum up, this online Data Science Diploma ensures a holistic understanding of data science. By intertwining theory with practical application, it equips learners with the skill set required to thrive in the data-driven industries of tomorrow. So, if the realm of data beckons you, this diploma is your gateway to excellence. What you will learn 1:Foundations of Data Science 2:Data Engineering and Big Data 3:Probability and Statistics in Data Science 4:Clustering and Classification Techniques 5:Advanced Mathematical Modeling 6:Data Visualisation Principles and Design 7:Web-Based Data Visualisation Tools 8:Dashboard Design and Mapping 9:Computing for Data Science 10:Domain-Specific Data Science Applications Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

PfMP® Exam Prep: Virtual In-House Training This is an intensive PfMP® Exam preparation course. This learning experience guides you through the multi-faceted discipline of portfolio management by focusing on the related technical, leadership, and business skills required to navigate it in the real world. First and foremost, this is an intensive PfMP® exam preparation course. Over the course, we go beyond exam prep to provide selected practice in applying key portfolio management skills, tools, and techniques. This learning experience guides you through the multi-faceted discipline of portfolio management by focusing on the related technical, leadership, and business skills required to navigate it in the real world. The journey zooms in and out between governance context and specific operational activities. The ultimate goal is practical application, with the bonus of certification along the way. What You Will Learn By the end of this program, you will be able to: Align and manage the portfolio, strategically, to satisfy organizational objectives and priorities, through benefit realization Articulate and emulate the role of a portfolio manager Apply the principles and skills of a portfolio manager to your real-world environment Study and prepare for the PfMP® Examination Apply for the certification, per the PMI PfMP Handbook and pass the initial panel review on your application Getting Started Course Overview Details of the PfMP® Certification process Foundation Concepts Projects, program, and portfolios A portfolio management process Strategy and value The role of the portfolio manager The role of key stakeholders Life cycle management The Portfolio Life Cycle Overview of Life Cycle Portfolio Management Information System (PMIS) Governance within the Portfolio Life Cycle Strategic Management Strategy concepts Supporting documentation and the strategic plan Planning and optimization Organizational risk appetite Managing strategic change Governance Management Overview and Guiding Principles The Concept of Governance Effective Design Factors Governance Roles Capacity and Capability Management Overview and Guiding Principles Capacity Management and Planning Supply and Demand (Management and Optimization) Organization Capabilities (Assessment and Development) Performance Management (Reporting, Analytics, and Balance) Stakeholder Engagement The Importance of Stakeholders Overview and Guiding Principles Definition and Identification Analysis and Planning Communications Approaches and Management Value Management Overview (Guiding Principles, Definition, and Components) Negotiating Expected Value Maximizing Value Assuring Value Realizing Value Measuring and Reporting Value A Look at Tools Risk Management Overview and Guiding Principles Portfolio Risk Planning Portfolio Risk Identification Portfolio Risk Assessment Portfolio Risk Response Examination Content Outline (ECO) Overview Structure Strategic Tasks Mapping Governance Tasks Mapping Performance Tasks Mapping Risk Tasks Mapping Communication Tasks Mapping List of Knowledge and Skills Exam Prep and Practice Overview Documenting experience Submitting the application Preparing to sit for the exam

Maya Evening Learning Sessions. Maya Evening Learning Sessions offer flexibility for professionals, interactive classes, supportive community, and skill enhancement in a convenient after-work schedule. Perfect for work-life balance and continued education. Click here for more info: Website Tailored Learning: Custom curriculum catering to your skill level. Course Duration: 10 hours. Approach: 1-to-1  Schedule: Craft your learning path by pre-booking hours from Mon to Sat, 9 am to 7 pm, accommodating your convenience. Maya 10-Hour Course Key Details: Duration: 10 hours of intensive training. Approach: Hands-on, interactive sessions focusing on essential Maya concepts and techniques. Curriculum Highlights: Introduction to Maya: Understanding the software interface and basic tools. 3D Modeling: Mastering polygon modeling techniques and object manipulation. Texturing and Materials: Learning to apply textures, materials, and UV mapping. Lighting and Rendering: Exploring lighting setups, camera compositions, and rendering methods. Animation Fundamentals: Grasping keyframe animation, editing clips, and basic character rigging. Special Effects and Dynamics: Creating particle systems, fluid simulations, and basic special effects. Who Should Attend: Beginners: Individuals new to 3D modeling and animation. Aspiring 3D Artists: Those aiming to pursue careers in animation, gaming, or visual effects. Creative Professionals: Designers and artists looking to expand their skill set into 3D graphics. Job Opportunities: Completing this Maya course equips participants with the skills necessary for various roles, including: 3D Modeler: Creating detailed 3D models for games, movies, or simulations. Animator: Bringing characters and scenes to life through animation. Texture Artist: Designing textures and materials to enhance 3D models. Lighting Artist: Illuminating scenes to evoke specific moods and atmospheres. Visual Effects Artist: Specializing in creating stunning visual effects for films and games. Participants completing the Maya 10-Hour Course will: Master Maya basics including modeling, texturing, lighting, and animation. Create 3D models, apply textures, and understand lighting and rendering principles. Develop essential skills in animation and special effects. Troubleshoot common issues in 3D projects. Recommended Books: "Introducing Autodesk Maya 2022" by Derakhshani: Comprehensive guide with hands-on tutorials. "Maya Character Creation" by Maraffi: Focuses on character modeling and animation techniques. "The Animator's Survival Kit" by Williams: Timeless principles applicable to any animation software. Maya 10-Hour Course Key Details: Duration: 10 hours of intensive training. Approach: Hands-on, interactive sessions focusing on essential Maya concepts and techniques. Curriculum Highlights: Introduction to Maya: Understanding the software interface and basic tools. 3D Modeling: Mastering polygon modeling techniques and object manipulation. Texturing and Materials: Learning to apply textures, materials, and UV mapping. Lighting and Rendering: Exploring lighting setups, camera compositions, and rendering methods. Animation Fundamentals: Grasping keyframe animation, editing clips, and basic character rigging. Special Effects and Dynamics: Creating particle systems, fluid simulations, and basic special effects. Who Should Attend: Beginners: Individuals new to 3D modeling and animation. Aspiring 3D Artists: Those aiming to pursue careers in animation, gaming, or visual effects. Creative Professionals: Designers and artists looking to expand their skill set into 3D graphics. Job Opportunities: Completing this Maya course equips participants with the skills necessary for various roles, including: 3D Modeler: Creating detailed 3D models for games, movies, or simulations. Animator: Bringing characters and scenes to life through animation. Texture Artist: Designing textures and materials to enhance 3D models. Lighting Artist: Illuminating scenes to evoke specific moods and atmospheres. Visual Effects Artist: Specializing in creating stunning visual effects for films and games. Adaptable Evening Maya Classes In-Depth 10-Hour Maya Program Hands-On Maya Projects Professional Maya Expertise Diverse Maya Applications Guidance from Experts Tailored Learning Experience Ongoing Email Assistance Access to Maya Trial and Resources Ignite Your Creative Potential!

Description Criminal Intelligence Analysis Diploma Introducing the Criminal Intelligence Analysis Diploma, a comprehensive online programme designed to equip learners with advanced knowledge and practical skills in the realm of criminal intelligence analysis. Tailored for the modern learner, this course offers a deep understanding of the pivotal role criminal intelligence analysis plays in crime prevention, investigation, and safety enhancement. The course begins by addressing the essence of criminal intelligence analysis, offering a foundational understanding of its importance in the world of crime prevention and resolution. From there, students explore the intricacies of crime pattern recognition and analysis. This module illuminates how analysts discern patterns from vast amounts of data, providing key insights to law enforcement agencies. Building on this, the course offers an in-depth study on suspect profiling. This invaluable skill assists law enforcement agencies in narrowing down potential suspects based on behavioural patterns, history, and other pertinent information. From the individual, the course broadens its scope to explore the larger picture with geographic profiling and crime mapping. Here, students learn how to track and predict the geographical movements and behaviours of criminals. In today's interconnected world, understanding social network analysis in criminal intelligence is paramount. This diploma sheds light on how analysts evaluate connections, relationships, and networks to derive insights and target potential threats. Alongside this, the forecasting and predictive analysis module prepares students to anticipate criminal behaviours and act proactively. Another crucial aspect of the Criminal Intelligence Analysis Diploma is data collection and processing in criminal intelligence. Without effective and ethical data collection, the analysis can be skewed or unhelpful. This course delves into the methods, ethics, and tools that drive robust data collection efforts. As crime evolves, so too does the methodology behind its prevention. Intelligence-led policing forms a significant part of the course, teaching students how this proactive strategy is shifting the dynamics of modern policing. In the digital age, cybercrime poses a unique and escalating threat. The course equips students with the tools and understanding to analyse cyber threats, breaches, and online criminal behaviours. Cybercrime intelligence becomes a powerful tool in the arsenal of any seasoned analyst. Finally, as with any evolving field, it is essential to look ahead. The course concludes with a comprehensive look at the future of criminal intelligence analysis. This segment offers students a glimpse into the advancements, challenges, and potential shifts on the horizon. This Criminal Intelligence Analysis Diploma provides a robust online learning experience, accommodating various learning styles and paces. For those keen to forge a career in criminal intelligence, or for professionals looking to expand their skill set, this diploma serves as a bridge to understanding and mastering the dynamic world of criminal intelligence analysis. Invest in knowledge, invest in the future, and become a driving force in the world of criminal intelligence. What you will learn 1:The Essence of Criminal Intelligence Analysis 2:Crime Pattern Recognition and Analysis 3:Suspect Profiling 4:Geographic Profiling and Crime Mapping 5:Social Network Analysis in Criminal Intelligence 6:Forecasting and Predictive Analysis 7:Data Collection and Processing in Criminal Intelligence 8:Intelligence-Led Policing 9:Cybercrime Intelligence 10:The Future of Criminal Intelligence Analysis Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

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

Lean Six Sigma Green Belt Certification Program - Become Green Belt Certified: On-Demand This course explores the DMAIC process in depth and enables you to achieve IIL's Lean Six Sigma Green Belt Certification. DMAIC is the foundation of Lean Six Sigma and process improvement. The incremental steps of "Define, Measure, Analyze, Improve, Control" give structure and guidance to improving quality, performance, and productivity. 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. 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 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 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 tests? Hypothesis tests Correlation and regression analysis 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 Result What is a pilot? Evaluating results 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

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is any IT, facilities or data centre professional, who are involved in the design/build, renovation or relocation of a mission-critical data centre. Overview This 5-day course is designed to prepare participants to analyse a given business case and perform technical evaluation for a project plan and a set of designs for the implementation of a mission critical data centre. The course also engages participants in product evaluations and demonstrates how to select equipment and develop equipment test scripts (IET) and integrated performance and validation testing (IPVT). CDCE© builds upon knowledge gained in CDCP and CDCS courses. Participants who pass the exam will join the industry's elite data centre project design experts. CDCE© is the highest level training in the EPI Design and Build training track under the EPI Data Centre Training Framework. Participants must hold a valid CDCS certificate in order to be able to register for the CDCE class. CDCE© is the premier certification for data centre professionals in the data centre design/build and related fields. Data Centre Life Cycle Data centre lifecycle stages and phases Exercise: Stage/Phase/Milestone/Document mapping Design Preparation Creation of a SON ? Statement Of Need Technology review Conceptual sizing How to calculate for computer room space How to calculate facility space How to calculate incoming power Exercise: Conceptual sizing building and power Analysing capacity of existing facility Analysing investment options Site selection Permits and approvals Exercise: Site selection Conceptual design Budget and project timeline Business case preparation Project delivery structure Project management options Project manager and team Design Planning OSRA?Operational Systems Requirement Analysis TFRA?Technical Facilities Requirement Analysis Operations and maintenance review RFP?Request For Proposal process Vendor selection Design Development Project planning Design development PDR ? Preliminary Design Review Equipment selection FDR/V ? Final Design Review/Validation Exercise: Full design validation of power, cooling, floor plans, fire suppression Design freeze and LLTI Creation of construction documents BOM/BOQ ? Bill Of Material/Bill Of Quantity Exercise: Equipment selection Acquire Requirements of purchase orders Shipping terms FWT/FAT ? Factory Witness Test/Factory Acceptance Test Sequencing Incoming goods inspection and handling Asset management Construct Temporary essential services Erection of the building Permanent essential services Building inspection Snag list COF?Certificate Of Fitness Fit-Out Fit-Out Builders cleaning As-Built Drawings Test & Commissioning IET?Individual Equipment Test IPVT/IST?Integrated Performance Verification Test/Integrated Systems Test Common mistakes with IET/IPVT Deep cleaning Exercise: IET/IPVT scripting Hand-Over Facility hand-over requirements and documents PCC?Practical Completion Certificate DLP?Defect Liability Period Defect Management ICT Systems Installation ICT Systems Testing Hand-Over/DLP Expiry FCC?Final Completion Certificate Retirement Reasons and definitions of retirement Building the business case and project plan Sequencing Transfer of site Demolishing of site Legal matters FCC?Final Completion Certificate Exam: Certified Data Centre Expert (CDCE©) The CDCE© exam is in two parts: Part A is a 90-minute closed book exam, with 60 multiple-choice questions. For Part A, the candidate requires a minimum of 45 correct answers to pass the exam. Part B is a 90-minute closed book exam, with 25 open questions. For Part B the candidate needs to obtain a minimum of 75% to pass. Additional course details: Nexus Humans Certified Data Centre Expert (CDCE) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Certified Data Centre Expert (CDCE) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Course Overview Develop the skills and expertise of Lean process and Six Sigma to set up a plier for a promising career. The Lean Process and Six Sigma Masterclass course will equip you with valuable lean and Six Sigma skills and provide you with a valuable certificate to elevate your resume. The Lean Process and Six Sigma Masterclass will provide you with an overall description of Lean and Six Sigma. You will get a peek inside the Lean culture and familiarize yourself with the five key principles of lean. From the engaging lessons, you will understand the fundamentals of value stream mapping. Within no time, you will attain the expertise required for Six Sigma. This step by step learning process will teach you the details of the define phase, measure phase, control phase and more. This Lean Process and Six Sigma Masterclass course is perfect for building a solid Lean and Six Sigma foundation. Join the course and increase your employability in the relevant sector. Learning Outcomes Understand the fundamentals of Lean and Lean culture Familiarize yourself with the five principles of Lean Enrich your knowledge and understanding of value stream mapping Learn the essential skills for Six Sigma Build an understanding of the define phase, control phase and measure phase in six Sigma Who is this course for? The Lean Process and Six Sigma Masterclass is for those who want to acquire Lean process and Six Sigma skills. Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path The Lean Process and Six Sigma Masterclass is a useful qualification to possess and would be beneficial for any related profession or industry such as: Lean Six Sigma Consultant Business Process Analyst Operating System Specialist Lean Process and Six Sigma Masterclass Module 1: Understanding Lean 00:24:00 Module 2: The Lean Culture 00:21:00 Module 3: The Five Principles of Lean 00:12:00 Module 4: Value and Waste 00:21:00 Module 5: Value Stream Mapping (VSM) 00:21:00 Module 6: The Principles of Flow and Pull 00:16:00 Module 7: Overview of Six Sigma 00:13:00 Module 8: The Define Phase 00:20:00 Module 9: The Measure Phase 00:23:00 Module 10: The Analyse Phase 00:24:00 Module 11: The Improve Phase 00:23:00 Module 12: The Control Phase 00:16:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

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