Lesson 01: Agile Foundation

• Agile Manifesto

• Why Agile

• Agile Values

• Agile Principles

Lesson 02: Project mindset vs. Product Mindset

• Explanation and Insights of Mind set Transformation

Lesson 03: Scrum Overview

• Theory Of Scrum

• Empiricism

Lesson 04: Product Owner Insights

• Product Owner Rights and Responsibilities

• Product Owner Characteristics

• Product Owner and Decision Making, Tools, Techniques

• Product Owner Dynamics with Stakeholders, Developers and ScrumMaster

• Product Owner Role in Sprint

• Product Owner anti-patterns

Lesson 05: Product Discovery

• Customers and Users Understanding: Empathy Mapping/ Persona

• Impact Mapping Technique

• Agile Product Planning

• Product Vision

• Product Roadmap

• Product Releases

• Sprints

Lesson 06: Additional Topics

• Prioritization/Ordering Techniques

• Product Backlog: Attributes, Characteristics, Estimation(Size)

• Product Backlog Refinement

• User Stories & Splitting Techniques

• Release Planning & Tracking

• Hypothesis, Assumptions validations through Sprints.

Lesson 07: Bonus Topic

• Progress Tracking: Release Burn Down charts (Not part of Scrum)/Velocity

Lesson 00 - Course Introduction

• 0.1 Course Introduction
  

Lesson 01 - Agile Scrum Concepts

• 1.1 Agile Scrum Concepts

• 1.2 Quiz

Lesson 02 - Roles and Rituals

• 2.1 Roles and Rituals

• 2.2 Quiz

Lesson 03 - Scrum Practices

• 3.1 Scrum Practices

• 3.2 Scenario — 1 Stand-up Meeting

• 3.3 Quiz

Lesson 04 - Scrum Planning

• 4.1 Scrum Planning

• 4.2 Quiz

Lesson 05 - Scrum Estimations

• 5.1 Scrum Estimations

• 5.2 Scenario — 2 Planning Poker

• 5.3 Quiz

Lesson 06 - Scrum Monitoring

• 6.1 Scrum Monitoring

• 6.2 Quiz

Lesson 07 - Advanced Scrum Concepts

• 7.1 Advanced Scrum Concepts

• 7.2 Quiz

Lesson 08 - Scrum Overview

• 8.1 Scrum Overview

Lesson 1: Course Introduction 0.1 Course Introduction 0.2 Eligibility Requirements 0.3 Certification Fees and Renewal 0.4 About Our Course

Lesson 2: Agile Principles and Mindset - Part 1 1.01 Agile Principles and Mindset - Part One 1.02 Introduction to Agile 1.03 Agile Engineering Practices 1.04 The Agile Manifesto 1.05 Agile Manifesto Explained 1.06 Principles of Agile Manifesto 1.07 Applying the Principles of Agile Manifesto 1.08 Agile Core Principles and Practices 1.09 Benefits of Agile 1.10 Project Life Cycle Characteristics 1.11 Key Takeaways Knowledge Check

Lesson 3: Agile Principles and Mindset - Part 2 2.01 Agile Principles and Mindset - Part Two 2.02 Agile Methodologies 2.03 Agile Mindset 2.04 Where to Apply Agile 2.05 Meaning of Scrum 2.06 Features of Scrum 2.07 Three Pillars of Scrum 2.08 Scrum Roles 2.09 Key Terms of Scrum 2.10 Scrum Meetings 2.11 Scrum: An Empirical Process 2.12 Extreme Programming 2.13 Extreme Programming Practices - Part A 2.14 Extreme Programming Practices - Part B 2.15 Roles in Extreme Programming 2.16 Process Diagram of XP 2.17 Crystal Method 2.18 Properties of Crystal Method 2.19 Key Categories of Crystal Method - Part A 2.20 Key Categories of Crystal Method - Part B 2.21 Dynamic Systems Development Method (DSDM) 2.22 Basic Principles of Atern 2.23 Planning Philosophy in DSDM 2.24 DSDM Techniques 2.25 DSDM Phases 2.26 Feature-Driven Development 2.27 Agile Project Management 2.28 Key Takeaways Knowledge Check

Lesson 4: Value-Driven Delivery - Part 1 3.01 Value-Driven Delivery - Part One 3.02 Quantifying Customer Value 3.03 Time Value of Money 3.04 Time Value of Money: Example 3.05 The Financial Feasibility of Projects 3.06 Return on Investment ROI 3.07 Net Present Value (NPV) 3.08 Net Present Value (NPV): Example 3.09 Internal Rate of Return (IRR) 3.10 Payback Period 3.11 Payback Period: Example 3.12 Prioritization of Functional Requirements 3.13 MoSCoW 3.14 Kano Model 3.15 Relative Weighting 3.16 Prioritization of Non-Functional Requirements 3.17 Risk Management in Agile 3.18 Key Takeaways Knowledge Check

Lesson 5: Value-Driven Delivery - Part 2 4.01 Value-Driven Delivery - Part Two 4.02 Minimal Viable Product 4.03 Project Planning Using MVP 4.04 Agile Compliance 4.05 Key Drivers of Agile Compliance 4.06 Incremental Delivery 4.07 Review and Feedback 4.08 Earned Value Management 4.09 Earned Value Metrics 4.10 Earned Value Metrics: Example 4.11 Agile Contracts: Components 4.12 Agile Contracting Methods 4.13 Fixed-Price or Fixed-Scope Contract 4.14 Time and Materials (T and M) Contract 4.15 T and M with Fixed Scope and Cost Ceiling 4.16 T and M with Variable Scope and Cost Ceiling 4.17 Bonus or Penalty Clauses 4.18 Rolling Agile Contracts 4.19 Terms Used in Agile Contracts 4.20 Key Takeaways Knowledge Check

Lesson 6: Stakeholder Engagement - Part 1 5.01 Stakeholder Engagement - Part One 5.02 Stakeholder Management 5.03 Project Charter 5.04 Understanding Stakeholder Needs 5.05 Agile Wireframes 5.06 User Story 5.07 Story Card Information 5.08 Agile Personas 5.09 Theme and Epic 5.10 Agile Story Maps 5.11 Community and Stakeholder Values 5.12 Key Takeaways Knowledge Check

Lesson 7: Stakeholder Engagement - Part 2 6.01 Stakeholder Engagement - Part Two 6.02 Community Management 6.03 Communication and Knowledge Sharing 6.04 Social Media Communication 6.05 Information Radiators 6.06 Burnup and Burndown Charts 6.07 Kanban or Task Board 6.08 Impediment Logs 6.09 Characteristics of Information Radiators 6.10 Agile Modeling 6.11 Active Listening 6.12 Key Elements of Active Listening 6.13 Globalization Diversity and Cultural Sensitivity 6.14 Cultural Diversity Issues: Recommendations 6.15 Agile Facilitation Methods 6.16 Agile Negotiation and Conflict Management 6.17 Five Levels of Conflict 6.18 Key Takeaways Knowledge Check

Lesson 8: Team Performance - Part 1 7.01 Team Performance - Part One 7.02 Features and Composition of Agile Teams 7.03 Stages of Agile Team Formation 7.04 High Performance Teams 7.05 Generalizing Specialist 7.06 Team Responsibility 7.07 Self-Organization 7.08 Key Takeaways Knowledge Check

Lesson 9: Team Performance - Part 2 8.01 Team Performance - Part Two 8.02 Agile Leadership 8.03 Best Practices of Agile Leadership 8.04 Management vs Leadership 8.05 Servant Leadership 8.06 Coaching and Mentoring 8.07 Agile Coaching 8.08 Agile Emotional Intelligence 8.09 Team Motivation 8.10 Maslow’s Theory 8.11 Frederick Herzberg's Theory 8.12 McClelland's Theory 8.13 Boehm's Theory 8.14 Team Space 8.15 Co-Located Teams 8.16 Distributed Teams 8.17 Co-Located vs. Distributed Teams 8.18 Osmotic Communication 8.19 Team Collaboration and Coordination 8.20 Collaboration Technology 8.21 Communication Gap-Example One 8.22 Communication Gap-Example Two 8.23 Brainstorming Sessions 8.24 Team Velocity 8.25 Velocity-Example One 8.26 Velocity-Example Two 8.27 Sample Velocity Chart 8.28 Agile Tools 8.29 Key Takeaways Knowledge Check

Lesson 10: Adaptive Planning - Part 1 9.01 Adaptive Planning - Part One 9.02 Planning Philosophy 9.03 Aligning Agile Projects 9.04 Rolling Wave Planning 9.05 Timeboxing 9.06 Best Practices of Timeboxing 9.07 Advantages of Timeboxing 9.08 Agile Estimation 9.09 Story Points 9.10 Assigning Story Points 9.11 Story Points Estimation 9.12 Story Points Estimation Scale: Example 9.13 Value Points 9.14 Ideal Days 9.15 Story Points vs. Ideal Days 9.16 Wideband Delphi Technique 9.17 Planning Poker 9.18 Planning Poker: Example 9.19 Affinity Estimation 9.20 Key Takeaways Knowledge Check

Lesson 11: Adaptive Planning - Part 2 10.1 Adaptive Planning - Part Two 10.2 Project Size Estimation 10.3 Release Plan 10.4 Release Plan: Example 10.5 Iteration Plan 10.6 Types of Iteration Planning 10.7 Iteration Lifecycle: Example 10.8 Release Plan vs. Iteration Plan 10.9 Agile Product Roadmap 10.10 Backlog Refinement - Part Two 10.11 Value-Based Analysis and Decomposition 10.12 Agile Cone of Uncertainty 10.13 Velocity Variations 10.14 Sprint Reviews 10.15 Sprint Retrospectives 10.16 Mid-Course Corrections 10.17 Key Takeaways Knowledge Check

Lesson 12: Problem Detection and Resolution - Part 1 11.1 Problem Detection and Resolution - Part One 11.2 Agile Problem Detection 11.3 Problem Detection Techniques 11.4 Fishbone Diagram 11.5 Five Whys Technique 11.6 Control Charts 11.7 Lead Time and Cycle Time 11.8 Kanban 11.9 Kanban Process 11.10 Example of Kanban Board 11.11 Work In Progress 11.12 Managing Constraints 11.13 Little’s Law 11.14 Escaped Defects 11.15 Agile Problem Solving 11.16 Key Takeaways Knowledge Check

Lesson 13: Problem Detection and Resolution - Part 2 12.1 Adaptive Planning 12.2 Metrics and Measures 12.3 Benefits of Metrics 12.4 Examples of Metrics 12.5 Baseline Metrics 12.6 Variance and Trend Analysis 12.7 Risk Management Life Cycle 12.8 Step One-Risk Identification 12.9 Step Two-Risk Assessment 12.10 Step Three-Risk Response Strategies 12.11 Step Four-Risk Review 12.12 Risk Log 12.13 Risk Burndown Chart 12.14 Risk Profile Graph 12.15 Spike 12.16 Agile Failure Modes 12.17 Agile Coach Failure Modes 12.18 Troubleshooting Guidelines 12.19 Key Takeaways Knowledge Check

Lesson 14: Continuous Improvement - Part 1 13.1 Continuous Improvement - Part One 13.2 Kaizen 13.3 Kaizen in Agile 13.4 Lean 13.5 Defining Waste Manufacturing and Software Development 13.6 A Five Step Process to Becoming Lean 13.7 Value Stream Mapping 13.8 Agile Retrospectives 13.9 Cargo Smells 13.10 Conducting a Retrospective 13.11 Brainstorming Techniques 13.12 Process Analysis Techniques 13.13 Agile Process Tailoring 13.14 Project Factors That Influence Tailoring 13.15 Key Takeaways Knowledge Check

Lesson 15: Continuous Improvement - Part 2 14.1 Continuous Improvement - Part Two 14.2 Quality in Agile 14.3 Best Practices for Quality in Agile 14.4 Best Practice One-Verification and Validation 14.5 Best Practice Two-Exploratory Testing 14.6 Best Practice Three-Usability Testing 14.7 Best Practice Four-Test-Driven Development 14.8 Test-Driven Development Advantages 14.9 Acceptance Test-Driven Development Cycle (ATDD) 14.10 Best Practice Five: Continuous Integration 14.11 Best Practice Six: Definition of Done 14.12 Testing Pyramid and Quadrant 14.13 Checklist for Story Completion 14.14 Agile Flowchart 14.15 Agile Spaghetti Diagram 14.16 Organizational Self Assessment 14.17 Key Takeaways Knowledge Check

Lesson 00: Introduction to PMI-RMP 0.1 Course Introduction 0.2 Why to Become PMI RMP Certified 0.3 Understand Exam Content Outline 2022 0.4 Exam Details - Eligibility, Application, Fee, Exam

Lesson 01: Project Management Fundamentals 1.01 Learning Objectives 1.02 Project Management Fundamentals 1.03 Project Approaches - Predictive and Iterative 1.04 Project Approaches - Incremental and Agile 1.05 Knowledge check 1.06 Basic Terminologies - User Story and Story Points 1.07 Basic Terminologies - Sprint, Scrum, Retrospective 1.08 Stakeholders 1.09 Knowledge Check 1.10 Summary

Lesson 02: Risk Basic Concepts 2.01 Learning Objectives 2.02 Risk Basic Concepts 2.03 Risk Management 2.04 Tailoring Risk Management 2.05 Knowledge Check 2.06 Risk Factors 2.07 Risk Attitude and Risk Appetite 2.08 Risk Tolerance and Risk Threshold 2.09 Risk Profile and Risk Triggers 2.10 Risk Maturity, Risk Assumptions, Risk Constraints, and Risk Absorption 2.11 Knowledge Check 2.12 Risk Management Domains 2.13 Risk Management Plan 2.14 Risk Management Lifecycle 2.15 Knowledge Check 2.16 Summary

Lesson 03: Risk Strategy and Planning 3.01 Learning Objectives 3.02 Risk Strategy and Planning 3.03 Risk Strategy and Planning Process 3.04 Risk Roles- Risk Manager and Risk Owner 3.05 Risk Roles- Risk Team 3.06 Knowledge Check 3.07 Industry Benchmarks and Project Plans 3.08 Project Management Plan 3.09 Lesson Learned and Risk Register 3.10 Knowledge Check 3.11 Customer Agreements and Assumption Logs 3.12 Project Charter and Team Charter 3.13 Stakeholder Register 3.14 Knowledge Check 3.15 Risk Planning across Organization levels 3.16 Analyze Organization Factors 3.17 Organization Influence Factors 3.18 Impact of Project Approaches 3.19 Knowledge Check 3.20 Setup Risk Thresholds 3.21 Plan for Triggers 3.22 Conflict Management 3.23 Knowledge Check 3.24 Risk Management Life Cycle 3.25 Mentor Team for Risk Management 3.26 Defining Roles and Responsibilities 3.27 Knowledge Check 3.28 Establish Risk Communication and Education Strategy 3.29 Plan Risk Management with Stakeholders 3.30 Stakeholders’ Data Gathering Techniques 3.31 Knowledge Check 3.32 Summary

Lesson 04: Risk Identification 4.01 Learning Objectives 4.02 Risk Identification 4.03 Risk Identification Process 4.04 Understand Risk Identification 4.05 Risk Identification Approaches 4.06 Knowledge Check 4.07 Brainstorming 4.08 Nominal Group Technique, Focus Groups, Interviews and Meetings 4.09 Expert Judgment and The Delphi Technique 4.10 Knowledge Check 4.11 Mind Mapping and Affinity Diagrams 4.12 Root Cause Analysis 4.13 Checklist Analysis and SWOT Analysis 4.14 Assumptions Analysis 4.15 Knowledge Check 4.16 Establish Risk Statements 4.17 Categorizing Risks 4.18 Risk Types 4.19 Develop Risk Register 4.20 Update Risk Register 4.21 Knowledge Check 4.22 Constraints 4.23 Compliance 4.24 Triggers 4.25 Knowledge Check 4.26 Summary

Lesson 05: Risk Analysis 5.01 Learning Objectives 5.02 Risk Analysis 5.03 Risk Analysis Process 5.04 Introduction to Risk Analysis 5.05 Knowledge Check 5.06 Qualitative Analysis 5.07 Qualitative Risk Analysis Techniques 5.08 FMEA (Failure Mode Effects Analysis)/FAULT TREE ANALYSIS 5.09 Affinity Diagram 5.10 Knowledge Check 5.11 Analytic Hierarchy Process (AHP) 5.12 Influence Diagram 5.13 System Dynamics 5.14 Risk Ranking 5.15 Knowledge Check 5.16 Risk Data Quality 5.17 Assessment of Other Risk Parameters 5.18 Educate Stakeholders on Risk Categories 5.19 Knowledge Check 5.20 Quantitative Risk Analysis 5.21 Waterfall Model Metrics 5.22 Waterfall Model Metrics-Budget at Completion and Planned Value 5.23 Waterfall Model Metrics-Earned Value and Actual Cost 5.24 Waterfall Model Metrics-Schedule Variance (SV) and Schedule Performance Indices (SPI) 5.25 Knowledge Check 5.26 Waterfall Model Metrics- Cost Variance (CV) and Cost Performance Indices (CPI) 5.27 Waterfall Model Metrics- Estimates at Completion (EAC) 5.28 Waterfall Model Metrics- To-Complete Performance Index (TCPI) 5.29 Knowledge Check 5.30 Agile Model Metrics 5.31 User Stories Completion 5.32 Burndown and Burnup Chart 5.33 Story Point Completion 5.34 Velocity 5.35 Knowledge Check 5.36 Quantitative Risks Analysis Techniques 5.37 Monte Carlo Simulation Technique 5.38 PERT (Project Evaluation Review Technique) 5.39 Knowledge Check 5.40 Detailed Risks Analysis 5.41 Monte Carlo Sensitivity Analysis and Tornado Diagrams 5.42 Network Diagram Sensitivity Analysis (Critical Path) 5.43 Ishikawa Diagram Analysis and Decision Tree Analysis 5.44 Knowledge Check 5.45 Contingency Reserve Estimation 5.46 Risk Complexity 5.47 Risk Priority 5.48 Perform Impact Analysis 5.49 Assess Project Compliance Objectives and Empower Stakeholders 5.50 Knowledge Check 5.51 Summary

Lesson 06: Risk Response 6.01 Learning Objectives 6.02 Risk Response 6.03 Overall Process 6.04 Introduction to Risk Response 6.05 Knowledge Check 6.06 Risk Response Strategies for Threats 6.07 Risk Response Strategies for Opportunities 6.08 Risk Response Decision 6.09 Knowledge Check 6.10 Develop Action Plans for Different Approaches 6.11 Create Risk Response Action Plan for Agile Approach 6.12 Create Risk Response Action Plan for Predictive Approach 6.13 Risk Action Plan Comparison Predictive vs Agile 6.14 Knowledge Check 6.15 Workaround 6.16 Assess Risk Response Strategy 6.17 Communicating Risk Response Strategies 6.18 Knowledge Check 6.19 Execute Risk Response Plan 6.20 Contingency Plan 6.21 Execute Contingency Plan 6.22 Knowledge Check 6.23 Stakeholder Involvement 6.24 Address Secondary Risks 6.25 Manage Residual Risks 6.26 Knowledge Check 6.27 Summary

Lesson 07: Monitor and Close Risks 7.01 Learning Objectives 7.02 Monitor and Close Risks 7.03 Risk Monitoring and Closing Process 7.04 Knowledge Check 7.05 Gather Performance Data 7.06 Analyze Data for Accuracy 7.07 Measure Efficacy of Risk Responses 7.08 Knowledge Check 7.09 Techniques for Risk Monitoring 7.10 Risk Audit 7.11 Risk Breakdown Structure 7.12 Risk Re-Assessment 7.13 Sensitivity Analysis 7.14 Status Meetings 7.15 Trend Analysis 7.16 Variance Analysis 7.17 Knowledge Check 7.18 Ensure Resilience and Anti-fragility 7.19 Risk-Reward 7.20 Measure Variance and Compare with Tolerance 7.21 Project Risks in an Organizational Context 7.22 Organizational Risk Taking in a Project Context 7.23 Knowledge Check 7.24 Monitoring Residual Risks 7.25 Residual Financial Risk 7.26 Residual Quality Risk 7.27 Residual Reputational Risk 7.28 Monitoring Secondary Risks 7.29 Impact of Contract Types on Secondary Risks 7.30 Updating Risk Registers 7.31 Knowledge Check 7.32 Preparing Risk Reports for Predictive and Agile Approaches 7.33 Qualitative Data Gathering and Reporting : Predictive 7.34 Qualitative Data Gathering and Reporting: Adaptive 7.35 Quantitative Data Gathering and Reporting: Predictive 7.36 Quantitative Data Gathering and Reporting: Adaptive 7.37 Knowledge Check 7.38 Updating Project Documents 7.39 Management Plan Updates and Lessons Learned Updates 7.40 Change Log Updates and Project-wide Risk Updates 7.41 Organization-wide Risk Updates 7.42 System Life Cycle Risk Updates 7.43 Updated Risks to the Project Management Culture 7.44 Knowledge Check

Module 01 - Valuation Modeling 1.1 Welcome 1.2 Advanced Financial Modeling Course 1.3 Advanced Financial Modeling An Introduction 1.4 Advanced FM Course Contents 1.5 Valuation Modeling 1.6 Agenda 1.7 Excel Shortcuts for Financial Modeling 1 1.8 Excel Shortcuts for Financial Modeling 2 1.9 Excel Formulas for Financial Modeling 1.10 Building Historical and Projected Financial Statements 1.11 Ratio Analysis 1 1.12 Ratio Analysis 2 1.13 Ratio Analysis 3 1.14 Ratio Analysis 4 1.15 Summary 1.16 Quiz 1.17 Thank You

Module 02 - Merger and Acquisition Analysis 2.1 Welcome 2.2 Merger and Acquisition Analysis 2.3 Agenda 2.4 Merger and Acquisition Analysis Basics 2.5 Bid Evaluation 2.6 Accretion and Dilution Analysis 2.7 Accretion and Dilution Analysis Example 2.8 Contribution Analysis 2.9 Contribution Analysis Example 2.10 Summary 2.11 Quiz 2.12 Thank You

Module 03 - Project Finance Modeling 3.1 Welcome 3.2 Project Finance Modeling 3.3 Agenda 3.4 Project Finance An Introduction 3.5 Project Finance Modeling An Introduction 3.6 Date Functions in Excel 3.7 Risk Analysis 3.8 Modeling Cash Flow Waterfall 3.9 Circular References and Modeling IDC 3.10 Summary 3.11 Quiz 3.12 Thank You

Module 04 - Monte Carlo Simulation 4.1 Welcome 4.2 Monte Carlo Simulation 4.3 Agenda 4.4 Monte Carlo Simulation An Introduction 4.5 Monte Carlo Simulation Alternative Approaches 4.6 Monte Carlo Simulation Using Excel Worksheet 4.7 Summary 4.8 Quiz 4.9 Thank You

Module 05 - Advanced MapReduce 5.1 Welcome 5.2 Advanced Excel Functions for FM 5.3 Agenda 5.4 The INDEX Function 5.5 The MATCH Function 5.6 Advanced Lookups Using INDEX and MATCH 5.7 Summary 5.8 Quiz 5.9 Thank You

Module 06 - Advanced Charting Techniques 6.1 Welcome 6.2 Advanced Charting Techniques 6.3 Agenda 6.4 Creating a Valuation Football Field Chart 6.5 Valuation Football Field Godrej Properties Example 1 6.6 Valuation Football Field Godrej Properties Example 2 6.7 Floating Bar Charts Importance and Uses 6.8 Summary 6.9 Quiz 6.10 Thank You

Lesson 01 - Introduction 1.1 Welcome 1.2 Introduction 1.3 Agenda 1.4 WHAT IS LEAN 1.5 Overview of Lean 1.6 Principles of Lean 1.7 Types of Waste 1.8 Lean Journey 1.9 Roots of Lean 1.10 Lean at Ford 1.11 Toyota Production System (TPS) 1.12 Just In Time (JIT) 1.13 Lean Successes and Benefits 1.14 Efficiency Business Model Fit 1.15 Cash Flow Improvement 1.16 Increased Capacity for Revenue 1.17 Its Challenges 1.18 Process Changes Cause a Rethinking of Process Flow 1.19 Disruptions Downtime Design Failures 1.20 Low Volume High Mix 1.21 High Variability Customization Demand 1.22 Summary 1.23 Quiz 1.24 Thank You

Lesson 02 - Types of Waste 2.1 Welcome 2.2 Types of Waste Introduction 2.3 Agenda 2.4 THE MAIN ONES 2.5 Transportation 2.6 Inventory 2.7 Motion 2.8 Waiting 2.9 Over Production 2.10 Over Processing 2.11 Defect 2.12 Other Types of Waste 2.13 Underutilized Skills 2.14 Wrong Use of Automation 2.15 Wrong Use of Metrics 2.16 Summary 2.17 Quiz 2.18 Thank You

Lesson 03 - Tools 3.1 Welcome 3.2 Lean Management Tools 3.3 Agenda 3.4 Five-S Plus One 3.5 Seiri 3.6 Seiton 3.7 Seiso 3.8 Seiketsu 3.9 Shitsuke 3.10 Safety 3.11 Five-S plus One Summary 3.12 Value Stream Mapping 3.13 Kaizen 3.14 Kaizen Blitz 3.15 Takt 3.16 Jidoka 3.17 Kanban 3.18 Poka Yoke 3.19 SMED 3.20 Summary 3.21 Quiz 3.22 Thank You

Lesson 04 - Lean in Manufacturing 4.1 Welcome 4.2 Lean in Manufacturing 4.3 Agenda 4.4 Background 4.5 Boeings Lean Journey 4.6 History and Background 4.7 Lean Principles Embraced 4.8 Lean Implementation 4.9 Waste Elimination Focus Areas 4.10 Summary 4.11 Quiz 4.12 Thank You

Lesson 05 - Lean in Service 5.1 Welcome 5.2 Lean in Service 5.3 Agenda 5.4 Background 5.5 Lean in Healthcare 5.6 Types of Waste 5.7 Case Study Virginia Mason 5.8 Summary 5.9 Quiz 5.10 Thank You

Lesson 06 - Lean in Office 6.1 Welcome 6.2 Lean Management Lean in Office 6.3 Agenda 6.4 Background 6.5 Lean in Office 6.6 Five-S in Office 6.7 Types of Waste in Office 6.8 Types of Waste in Office (cont.) 6.9 Summary 6.10 Quiz 6.11 Thank You

Lesson 07 - Lean Metrics 7.1 Welcome 7.2 Lean Management Lean Metrics 7.3 Agenda 7.4 Overview 7.5 OEE 7.6 FPY & RTY 7.7 Days in Inventory 7.8 Schedule Adherence Attainment 7.9 Lean Accounting 7.10 Lean Accounting (Cont.) 7.11 Summary 7.12 Quiz 7.13 Thank You

Lesson 08 - Other Methodologies That Complement Lean 8.1 Welcome 8.2 Lean Management Other Methodologies That Complement Lean 8.3 Agenda 8.4 Theory of Constraints 8.5 Theory of Constraints (Cont.) 8.6 Quick Response Manufacturing 8.7 Factory Physics 8.8 Six Sigma 8.9 Six Sigma Implementation Roles 8.10 Summary 8.11 Quiz 8.12 Thank You

Lesson 09 - Lean Maturity Matrix 9.1 Welcome 9.2 Lean Maturity Matrix 9.3 Agenda 9.4 Overview 9.5 Assessment Process 9.6 Assessment Criteria 9.7 Lean Maturity Levels 9.8 Lean Maturity Matrix 9.9 Summary 9.10 Quiz 9.11 Thank You

Lesson 01 - Introduction to IIBA® and CCBA® Certification 1.1 Introduction to CCBA® Certification

Lesson 02 - Introduction to BABOK® V3 2.1 Introduction to BABOK® V3 2.2 Business Analysis 2.3 Competencies of a Business Analyst 2.4 Techniques referred to by BABOK® V3 2.5 Quiz 2.6 Key Takeaways

Lesson 03 - Business Analysis Planning and Monitoring 3.1 Introduction to Business Analysis Planning and Monitoring 3.2 Plan Stakeholder Engagement 3.3 Plan Business Analysis Governance 3.4 Plan Business Analysis Information Management 3.5 Identify Business Analysis 3.6 Quiz 3.7 Key Takeaways 3.8 Case Study

Lesson 04 - Elicitation and Collaboration 4.1 Introduction to Elicitation and Collaboration 4.2 Prepare For Elicitation 4.3 Conduct Elicitation 4.4 Confirm Elicitation Results 4.5 Communicate Business Analysis Information 4.6 Manage stakeholder collaboration 4.7 Quiz 4.8 Key Takeaways 4.9 Case Study

Lesson 05 - Requirements Life Cycle Management 5.1 Introduction to Requirements Life Cycle Management 5.2 Trace Requirements 5.3 Maintain Requirements 5.4 Prioritize Requirements 5.5 Assess Requirements Changes 5.6 Approve Requirements 5.7 Quiz 5.8 Key Takeaways 5.9 Case Study

Lesson 06 - Strategy Analysis 6.1 Introduction to Strategy Analysis 6.2 Analyze Current State 6.3 Define Future State 6.4 Assess Risks 6.5 Define Change Strategy 6.6 Quiz 6.7 Key Takeaways 6.8 Case Study

Lesson 07 - Requirements Analysis and Design Definition 7.1 Introduction to Requirements Analysis and Design Definition 7.2 Specify and Model Requirements 7.3 Verify Requirements 7.4 Validate Requirements 7.5 Define Requirements Architecture 7.6 Define Design Options 7.7 Analyze Potential Value and Recommend Solution 7.8 Quiz 7.9 Key Takeaways 7.10 Case Study

Lesson 08 - Solution Evaluation 8.1 Introduction to Solution Evaluation 8.2 Measure Solution Performance 8.3 Analyze Performance Measures 8.4 Assess Solution Limitations 8.5 Assess Enterprise Limitations 8.6 Recommend Actions to Increase Solution Value 8.7 Quiz 8.8 Key Takeaways 8.9 Case Study

Introduction to SEO 1 Part 1 - Introduction to SEO 2 Part 2 - A Model of Search Engines

Introduction to Social Media 1 Part 01 - Understanding Social Media Strategy 2 Part 02 - Building a Social Media Strategy

Introduction to Content Marketing 1 Introduction to Content Marketing

Introduction to Email Marketing 1 Part 1 - Introduction to Email 2 Part 2 - Basic Terminology

Introduction to Mobile Marketing 1 Introduction to Mobile Marketing

Introduction to PPC 1 Part 1 - Introduction to PPC 2 Part 2 - Psychology of Search

Introduction to Conversion Optimization 1 Introduction to Conversion Optimization

Introduction to Digital Analytics 1 Introduction to Digital Analytics

Introduction to Marketing Automation 1 Introduction to Marketing Automation

Introduction to Programmatic Buying 1 Introduction to Programmatic Buying

Introduction to Digital Marketing Test Digital Marketing Introduction Test

Lesson 1.0 - Introduction to Big Data and Hadoop 1 Introduction to Big Data and Hadoop 2 Objectives 3 Need for Big Data 4 Three Characteristics of Big Data 5 Characteristics of Big Data Technology 6 Appeal of Big Data Technology 7 Handling Limitations of Big Data 8 Introduction to Hadoop 9 Hadoop Configuration 10 Apache Hadoop Core Components 11 Hadoop Core Components—HDFS 12 Hadoop Core Components—MapReduce 13 HDFS Architecture 14 Ubuntu Server—Introduction 15 Hadoop Installation—Prerequisites 16 Hadoop Multi-Node Installation—Prerequisites 17 Single-Node Cluster vs. Multi-Node Cluster 18 MapReduce 19 Characteristics of MapReduce 20 Real-Time Uses of MapReduce 21 Prerequisites for Hadoop Installation in Ubuntu Desktop 12.04 22 Hadoop MapReduce—Features 23 Hadoop MapReduce—Processes 24 Advanced HDFS–Introduction 25 Advanced MapReduce 26 Data Types in Hadoop 27 Distributed Cache 28 Distributed Cache (contd.) 29 Joins in MapReduce 30 Introduction to Pig 31 Components of Pig 32 Data Model 33 Pig vs. SQL 34 Prerequisites to Set the Environment for Pig Latin 35 Summary

Lesson 1.1 - Hive HBase and Hadoop Ecosystem Components 1 Hive, HBase and Hadoop Ecosystem Components 2 Objectives 3 Hive—Introduction 4 Hive—Characteristics 5 System Architecture and Components of Hive 6 Basics of Hive Query Language 7 Data Model—Tables 8 Data Types in Hive 9 Serialization and De serialization 10 UDF/UDAF vs. MapReduce Scripts 11 HBase—Introduction 12 Characteristics of HBase 13 HBase Architecture 14 HBase vs. RDBMS 15 Cloudera—Introduction 16 Cloudera Distribution 17 Cloudera Manager 18 Hortonworks Data Platform 19 MapR Data Platform 20 Pivotal HD 21 Introduction to ZooKeeper 22 Features of ZooKeeper 23 Goals of ZooKeeper 24 Uses of ZooKeeper 25 Sqoop—Reasons to Use It 26 Sqoop—Reasons to Use It (contd.) 27 Benefits of Sqoop 28 Apache Hadoop Ecosystem 29 Apache Oozie 30 Introduction to Mahout 31 Usage of Mahout 32 Apache Cassandra 33 Apache Spark 34 Apache Ambari 35 Key Features of Apache Ambari 36 Hadoop Security—Kerberos 37 Summary

Lesson 1.2 - Quiz Quiz

Lesson 1.3 - Thank You Thank You

Lesson 0 - Course Overview 0.001 Course Overview 0.003 Course Objectives 0.004 Course Overview 0.005 Target Audience 0.006 Course Prerequisites 0.007 Value to the Professionals 0.008 Lessons Covered 0.009 Conclusion

Lesson 1 - Apache Cassandra L1 Overview Big Data and NoSQL Database 1.001 Overview of Big Data and NoSQL Database 1.002 Course Map 1.003 Objectives 1.004 The 3 Vs of Big Data 1.005 Volume 1.006 Data Sizes-Terms 1.007 Velocity 1.008 Variety 1.009 Data Evolution 1.010 Features of Big Data 1.011 Big Data-Use Cases 1.012 Big Data Analytics 1.013 Traditional Technology vs. Big Data Technology 1.014 Apache Hadoop 1.015 HDFS 1.016 MapReduce 1.017 NoSQL Databases 1.018 Brewers CAP Principle 1.019 Approaches to NoSQL Databases-Types 1.020 Quiz 1.021 Summary 1.022 Conclusion

Lesson 2 - Introduction to Cassandra 2.001 Introduction to Cassandra 2.002 Course Map 2.003 Objectives 2.004 Introducing Cassandra 2.005 Behind the Name 2.006 History of Cassandra 2.007 Main Features of Cassandra 2.008 When is Cassandra Used 2.009 Simple Cassandra Program 2.010 Cassandra Command Line Interface 2.011 Advantages of Cassandra 2.012 Limitations of Cassandra 2.013 VMware 2.014 Simplilearn Virtual Machine 2.015 PuTTY 2.016 WinSCP 2.017 Demo-Install and Setup VM 2.018 Demo-Install and Setup VM 2.019 Quiz 2.020 Summary 2.021 Conclusion

Lesson 3 - Cassandra Architecture 3.001 Cassandra Architecture 3.002 Course Map 3.003 Objectives 3.004 Architecture Requirements of Cassandra 3.005 Cassandra Architecture 3.006 Cassandra Architecture (contd.) 3.007 Effects of the Architecture 3.008 Cassandra Write Process 3.009 Rack 3.010 Cassandra Read Process 3.011 Example of Cassandra Read Process 3.012 Data Partitions 3.013 Replication in Cassandra 3.014 Network Topology 3.015 Snitches 3.016 Gossip Protocol 3.017 Seed Nodes 3.018 Configuration 3.019 Virtual Nodes 3.020 Token Generator 3.021 Example of Token Generator 3.022 Failure Scenarios Node Failure 3.023 Failure Scenarios Disk Failure 3.024 Failure Scenarios Rack Failure 3.025 Failure Scenarios Data Center Failure 3.026 Quiz 3.027 Summary 3.028 Conclusion

Lesson 4 - Cassandra Installation and Configuration 4.001 Cassandra Installation and Configuration 4.002 Course Map 4.003 Objectives 4.004 Cassandra Versions 4.005 Steps to Install and Configure Cassandra on Ubuntu System 4.006 Step 1-Operating System Selection 4.007 Step 2-Machine Selection 4.008 Step 3-Preparing for Installation 4.009 Step 4-Setup Repository 4.010 Step 5-Install Cassandra 4.011 Step 6-Check the Installation 4.012 Step 7-Configuring Cassandra 4.013 Step 8-Configuration for a Single-Node Cluster 4.014 Step 9-Configuration for a Multi-Node and Multi-Datacenter Clusters 4.015 Step 10-Setup Property File 4.016 Step 11-Configuration for a Production Cluster 4.017 Step 12-Setup Gossiping Property File 4.018 Step 13-Starting Cassandra Services 4.019 Step 14-Connecting to Cassandra 4.020 Installing on CentOS 4.021 Demo-Installing and Configuring Cassandra on Ubuntu 4.022 Demo-Installing and Configuring Cassandra on Ubuntu 4.023 Quiz 4.024 Summary 4.025 Conclusion

Lesson 5 - Cassandra Data Model 5.001 Cassandra Data Model 5.002 Course Map 5.003 Objectives 5.004 Cassandra Data Model 5.005 Cassandra Data Model Components 5.006 Keyspaces 5.007 Tables 5.008 Columns 5.009 UUID and TimeUUID 5.010 Counter 5.011 Compound Keys 5.012 Indexes 5.013 Collection Columns 5.014 Collection Columns Set 5.015 DDL and DML Statements 5.016 DDL Statements 5.017 DML Statements INSERT 5.018 DML Statements UPDATE 5.019 DML Statements COPY 5.020 DML Statements SELECT 5.021 SELECT Statements Restrictions 5.022 Valid and Invalid SELECT Statements Example 5.023 DML Statements DELETE 5.024 Demo 1-Data Definition and Data Manipulation Statements 5.025 Demo 1-Data Definition and Data Manipulation Statements 5.026 Demo 2-Create a Table with Composite Key 5.027 Demo 2-Create a Table with Composite Key 5.028 Demo 3-Collection Columns in Cassandra 5.029 Demo 3-Collection Columns in Cassandra 5.030 Quiz 5.031 Summary 5.032 Conclusion

Lesson 6 - Cassandra Interfaces 6.001 Lesson 6-Cassandra Interfaces 6.002 Course Map 6.003 Objectives 6.004 Cassandra Interfaces 6.005 Cassandra Command Line Interface 6.006 Cqlsh Options 6.007 Cqlsh Commands 6.008 Cqlsh Shell Commands 6.009 Cqlsh Help 6.010 Java Interfaces 6.011 Using the Java Interface 6.012 Querying Cassandra using Java 6.013 Java Example 6.014 Java Example (contd.) 6.015 Full Program 6.016 Compiling the Java Program 6.017 Compiling the Java Program (contd.) 6.018 Running the Java Program 6.019 Java Interface observations 6.020 ODBC Interface 6.021 Quiz 6.022 Summary 6.023 Conclusion

Lesson 7 - Cassandra Advanced Architecture 7.001 Cassandra Advanced Architecture and Cluster Management 7.002 Course Map 7.003 Objectives 7.004 Partitioning 7.005 Murmur3Partitioner 7.006 RandomPartitioner 7.007 ByteOrderedPartitioner 7.008 Replication of Data 7.009 Replication Strategy 7.010 SimpleStrategy 7.011 NetworkTopologyStrategy 7.012 NetworkTopologyStrategy (contd.) 7.013 Replication Example 7.014 Tunable Consistency 7.015 Read Consistency 7.016 Write Consistency 7.017 Read or Write Failure 7.018 Hinted Handoff 7.019 Time to Live 7.020 Tombstones 7.021 Monitoring the Cluster 7.022 Nodetool Options 7.023 Install and Configure OpsCenter 7.024 Monitoring with OpsCenter 7.025 Monitoring with OpsCenter (contd.) 7.026 Administer using OpsCenter 7.027 Quiz 7.028 Summary 7.029 Conclusion

Lesson 8 - Apache Ecosystem around Cassandra 8.001 Apache Ecosystem around Cassandra 8.002 Course Map 8.003 Objectives 8.004 Stream 8.005 Apache Storm 8.006 Storm Architecture 8.007 Storm Architecture (contd.) 8.008 Storm Data Model 8.009 Storm Topology 8.010 Storm Topology - Example 8.011 Apache Kafka 8.012 Kafka Data Model 8.013 Kafka Data Model (contd.) 8.014 Kafka Architecture 8.015 Kafka Architecture (contd.) 8.016 Kafka-Queue System 8.017 Kafka-Publish-Subscribe System 8.018 Real-Time Data Analysis Platform 8.019 Real-Time Data Analysis Platform (contd.) 8.020 Apache Spark 8.021 Apache Spark Architecture 8.022 Resilient Distributed Datasets 8.023 Operations in Spark 8.024 Spark and Scala 8.025 Spark - Example 8.026 Quiz 8.027 Summary 8.028 Thank you

Lesson 01: Introduction to AWS Cloud Practitioner Course 1.01 AWS CP Introduction 1.02 Introduction to AWS Cloud Practitioner Course 1.03 Domain Introduction 1.04 AWS Certification Path 1.05 Exam Details

Lesson 02: Core Concept of Cloud Computing 2.01 Learning Objectives 2.02 Networking Terminologies Part 1 2.03 Networking Terminologies Part 2 2.04 Client Server Architecture 2.05 Classic Data Centres 2.06 Virtualization 2.07 Basics of Cloud Computing 2.08 Cloud Computing Deployment Models 2.09 Public Cloud 2.10 Private Cloud 2.11 Hybrid Cloud 2.12 Community Cloud 2.13 Comparison of Deployment Models 2.14 Cloud Computing Service Models Part 1 2.15 Cloud Computing Service Models Part 2 2.16 Pizza Analogy 2.17 Cloud Service Providers 2.18 Summary

Lesson 03: Introduction to AWS 3.01 Learning Objective 3.02 AWS Overview 3.03 Demo Setting Up AWS Account 3.04 Gartner Research 3.05 Cloud Architecture Design Principles 3.06 Well Architected Framework 3.07 Operational Excellence 3.08 Security 3.09 Reliability 3.10 Performance Efficiency 3.11 Cost Management 3.12 AZ and Regions 3.13 CloudFront Infrastructure 3.14 Edge Locations 3.15 Networking and Content Delivery Services 3.16 Virtual Private Cloud (VPC) 3.17 VPC Peering 3.18 VPC End Points 3.19 Domain Name System (DNS) 3.20 CDN 3.21 CloudFront Infrastructure 3.22 Elastic Load Balancer 3.23 ELB Types 3.24 Compute Services 3.25 What is EC2 3.26 EC2 Benefits and Features 3.27 EC2 Creation Steps 3.28 Amazon Machine Image (AMI) 3.29 EC2 Instance Types 3.30 EC2 Creation Steps (Continue) 3.31 Demo Launching EC2 Instance using AWS Console 3.32 AWS CLI 3.33 Demo Launch an EC2 Instance using AWS Command Line Interface 3.34 EC2 Auto Scaling 3.35 Elastic Beanstalk 3.36 AWS Storage Services 3.37 Amazon S3 (Simple Storage Service) 3.38 S3 Policies 3.39 Demo Create S3 Bucket and Bucket Policies 3.40 Database Services 3.41 AWS Databases 3.42 Database Types 3.43 Relational Database Service (RDS) 3.44 Database Connection 3.45 Demo RDS Usage 3.46 Introduction to DynamoDB 3.47 Demo Managing AWS DynamoDB 3.48 Resource Groups and Tagging 3.49 Case Study 3.50 Demo Use of VPC and Subnet 3.51 Summary

Lesson 04: AWS Security and Compliance 4.01 Learning Objective 4.02 Security Aspects 4.03 Security and Compliance Principles 4.04 AWS Access Control and IAM 4.05 IAM Working 4.06 Security Best Practices Part 1 4.07 Security Best Practices Part 2 4.08 Web Application Firewall 4.09 AWS Shield 4.10 Firewall Manager 4.11 AWS CloudTrail 4.12 AWS CloudWatch 4.13 AWS Config Service 4.14 CloudWatch vs CloudTrail 4.15 AWS Config vs CloudTrail 4.16 AWS Inspector 4.17 AWS Trusted Advisor 4.18 Demo Managing IAM Service 4.19 Summary

Lesson 05: AWS Costing and Support Service 5.01 Learning Objective 5.02 Understand AWS Pricing 5.03 AWS Pricing Models 5.04 Cost Calculator 5.05 Support Plans 5.06 Marketplace 5.07 Demo Setup Billing Budget and Check Invoice 5.08 Summary

Introduction 0.0 Introduction

Lesson 1: Introduction to Business Analytics 1.01 Introduction to Business Analytics

Lesson 2: Data Cleaning and Preparation 2.01 Data Cleaning and Preparation

Lesson 3: Conditional Formatting and Important Functions 3.01 Conditional Formatting and Important Functions

Lesson 4: Analyzing Data with Pivot Tables 4.01 Analyzing Data with Pivot Tables

Lesson 5: Dashboarding 5.01 Dashboarding

Lesson 6: Analytics with Excel 6.01 Analytics with Excel

Lesson 7: Data Analysis using Statistics 7.01 Data Analysis using Statistics

Lesson 8: Macros for Analytics 8.01 Macros for Analytics

Lesson 00 - Course Introduction Introduction

Lesson 01 - Decoding Artificial Intelligence 01 Decoding Artificial Intelligence 02 Meaning, Scope, and Stages Of Artificial Intelligence 03 Three Stages of Artificial Intelligence 04 Applications of Artificial Intelligence 05 Image Recognition 06 Applications of Artificial Intelligence - Examples 07 Effects of Artificial Intelligence on Society 08 Supervised Learning for Telemedicine 09 Solves Complex Social Problems 10 Benefits Multiple Industries 11 Key Takeaways Knowledge Check

Lesson 02 - Fundamentals of Machine Learning and Deep Learning 01 Fundamentals Of Machine Learning and Deep Learning 02 Meaning of Machine Learning 03 Relationship between Machine Learning and Statistical Analysis 04 Process of Machine Learning 05 Types of Machine Learning 06 Meaning of Unsupervised Learning 07 Meaning of Semi-supervised Learning 08 Algorithms of Machine Learning 09 Regression 10 Naive Bayes 11 Naive Bayes Classification 12 Machine Learning Algorithms 13 Deep Learning 14 Artificial Neural Network Definition 15 Definition of Perceptron 16 Online and Batch Learning 17 Key Takeaways Knowledge Check

Lesson 03 - Machine Learning Workflow 01 Learning Objective 02 Machine Learning Workflow 03 Get more data 04 Ask a Sharp Question 05 Add Data to the Table 06 Check for Quality 07 Transform Features 08 Answer the Questions 09 Use the Answer 11 Key Takeaways Knowledge Check

Lesson 04 - Performance Metrics 01 Performance Metrics 02 Need For Performance Metrics 03 Key Methods Of Performance Metrics 04 Confusion Matrix Example 05 Terms Of Confusion Matrix 06 Minimize False Cases 07 Minimize False Positive Example 08 Accuracy 09 Precision 10 Recall Or Sensitivity 11 Specificity 12 F1 Score 13 Key Takeaways Knowledge Check

Lesson 01: Course Introduction 1.1 Course Introduction

Lesson 02: Robotic Process Automation 2.1 Robotic Process Automation

Lesson 03: How RPA Works 3.1 How RPA Works

Lesson 04: ROI - Building a Business Case 4.1 ROI - Building a Business Case

Lesson 05: RPA Implementation in Enterprise 5.1 RPA Implementation in Enterprise

Lesson 06: List of RPA Tools and Selection Checklist 6.1 List of RPA Tools and Selection Checklist

Lesson 07: Case Study on Henn na Hotel 7.1 Case Study on Henn na Hotel

Lesson 01 - Introduction 1.01 Introduction to CAPM 1.02 Key Takeaways

Lesson 02 - Introduction to Project Management 2.01 Introduction to Project Management 2.02 Project Management Process Groups 2.03 Project Management Processes 2.04 Process Groups ITTO 2.05 Portfolios Programs Stakeholders Quiz

Lesson 03 - Project Environment 3.01 Project Environment Quiz

Lesson 04 - Role of the Project Manager 4.01 Role of the Project Manager 4.02 Code of Ethics

Lesson 05 - Project Integration Management 5.01 Project Integration Management 5.02 Project Integration Management Knowledge Areas 5.03 Direct and Manage Project Work 5.04 Perform Integrated Change Control 5.05 Scenario 1 Project Integration Management 5.06 Scenario 2 Project Integration Management Quiz

Lesson 06 - Project Scope Management 6.01 Project Scope Management 6.02 Project Scope Management in Planning Process Group 6.03 Project Scope Management in Monitoring and Controlling Process Group 6.04 Scenario 3 Project Scope Management 6.05 Scenario 4 Project Scope Management Quiz

Lesson 07 - Project Schedule Management 7.01 Project Schedule Management 7.02 Project Schedule Management Processes 7.03 Schedule Network Analysis Techniques 7.04 Scenario 5 Project Schedule Management Quiz

Lesson 08 - Project Cost Management 8.01 Project Cost Management 8.02 Earned Value Management 8.03 Scenario 6 Project Cost Management 8.04 Scenario 7 Project Cost Management Quiz

Lesson 09 - Project Quality Management 9.01 Project Quality Management 9.02 Project Quality Management Processes 9.03 Quality Tools 9.04 Scenario 8 Project Quality Management 9.05 Scenario 9 Project Quality Management Quiz

Lesson 10 - Project Resource Management 10.01 Project Resource Management 10.02 Team Dynamics 10.03 Organizational Theories and Leadership Styles 10.04 Scenario 10 Project Resource Management 10.05 Scenario 11 Project Resource Management Quiz

Lesson 11 - Project Communications Management 11.01 Project Communications Management 11.02 Project Communications Management Processes 11.03 Scenario 12 Project Communications Management 11.04 Scenario 13 Project Communications Management Quiz

Lesson 12 - Project Risk Management 12.01 Project Risk Management 12.02 Project Risk Management Processes 12.03 Scenario 14 Project Risk Management 12.04 Scenario 15 Project Risk Management Quiz

Lesson 13 - Project Procurement Management 13.01 Project Procurement Management 13.02 Project Procurement Management Processes 13.03 Scenario 16 Project Procurement Management Quiz

Lesson 14 - Project Stakeholder Management 14.01 Project Stakeholder Management 14.02 Project Stakeholder Management Processes 14.03 Scenario 17 Project Stakeholder Management 14.04 Scenario 18 Project Stakeholder Management Quiz