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
DASA DevOps Fundamentals: Virtual In-House Training The DASA DevOps Fundamentals™ certification provides the core education necessary to build your DevOps vocabulary and understand its principles and practices. It's the ideal starting point for DevOps journeys, whether you're already familiar with working with Agile and/or DevOps teams or not. Faster software deployment, increased deployment frequency, and higher change success rate are only some of the visible outcomes of practicing DevOps. Organizations such as Netflix, Spotify, and Facebook are transforming IT by successfully implementing DevOps principles. But you don't have to be big to be a DevOps leader. Companies large and small, young and old, have smoothly made the transition and have the proof of success in their pockets. This course will inspire you to serve as a change champion by sharing and using what you learned, and continue to learn, about DevOps to lead and mentor others. A solid understanding of DevOps Fundamentals has helped numerous professionals and organizations how to approach a DevOps journey, not only from a tool and automation perspective but also looking in-depth at the softer side of things. This course provides learners with an extensive introduction to the core Agile DevOps principles. It covers all 12 key knowledge and skill competencies defined by DASA to ensure you acquire a solid knowledge of DevOps concepts and terminology. Multiple cases or scenarios, group discussions, and examples are included in the course to enhance your learning experience. What you will Learn DASA DevOps Fundamentals-certified professionals are able to: Explain the drivers responsible for the emergence of DevOps. Define and discuss the key concepts and principles of DevOps. List and explain the business benefits of DevOps and continuous delivery. Know how teams can translate DevOps principles into tangible practices. Learn about modern operations in a DevOps context. Explain the concepts of test automation, infrastructure automation, and build and deployment automation. Describe how DevOps relates to Lean and Agile methodologies. Get insight into the various organizational DevOps models and architectures. Identify how Cloud and Delivery pipeline automation optimizes and accelerates the ways of working. Discuss the critical success factors for DevOps transformation. Introducing DASA DevOps Fundamentals DASA DevOps Fundamentals An Introduction Case Study - Easy Journey Airways Building the DevOps Context DevOps Evolution Business Benefits of DevOps DASA DevOps Principles Goals and Measurements Knowing DevOps for Individuals T-Shape Profiles DevOps Capabilities by DASA DASA DevOps Certifications Getting Acquainted with DevOps Culture and Behavior Embracing a DevOps Culture Core Elements of a DevOps Culture Implementation of a DevOps Culture Understanding the Value of DevOps for Teams and Organizations Organizational Models Team Autonomy DevOps at Scale Getting Familiar with DevOps Management Practices ITSM Lean Agile Getting Familiar with DevOps Technical Practices Architecture Modern Infrastructure and Cloud Operations Enabling DevOps Team Performance Through Continuous Delivery and Automation Software Delivery Automation Concepts Continuous Delivery Core Concepts Continuous Delivery Automation Concepts Continuous Delivery Automation Focus Topics Measuring the Performance - The Next Steps Analyze the Current Situation Improve Incrementally
Program Management Skills: In-House Training Program managers coordinate and give oversight to the efforts of marketing groups, project teams, product delivery, maintenance and support, operations and staff from various functional groups, including suppliers, business partners, and other external bodies. The goal is to ensure that proposed business transformation, through the delivery of complex products and processes, is implemented to realize the organization's strategic benefits and objectives, for which the program was selected. The goals of this course are twofold: To provide participants with key program management principles and techniques, recognized as best practices, to enable more effective program management; and to leverage core elements of the program management life cycle, processes, tools and techniques, to enable program management effectiveness. The participant will learn and apply the principles of program management through discussions, activities, and case study exercises. What You Will Learn At the end of this workshop, you will be able to: Maximize the transformational impact of a program according to the business needs Explain management principles and techniques and apply them within a program context Implement program governance and organization that will produce expected benefits Plan for and manage benefit realization, risks, issues, and quality Manage component projects' interdependencies that are linked to both program and strategic objectives Engage program stakeholders effectively. Improve communication and action planning effectiveness for programs in organizations Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Fundamental definitions and concepts Program challenges and benefits Program best practices and success criterion Stakeholder management Governance: program management office and program boards Standard for Program Management overview Vision, Leadership, and the Business Case What is vision, why, and how? Leadership vs. Management Program business case Program Organization and Governance Program organization Program governance Program board roles and responsibilities Benefits Management Benefits explored Benefits management Benefits realization Program Management Planning Program management plan Program blueprint and roadmap Program component dossier Program tranches Program estimating Program scheduling Program Monitoring and Controlling Program Control - An Overview Program Monitoring and Controlling Monitoring and Controlling Transition Program Risk and Issue Management Risk and issue management overview Program risk management Program issue management Program Quality Management Program quality management overview Program quality management principles Program Stakeholder Management Stakeholder engagement overview Stakeholder engagement planning EI, trust, communication and stakeholder engagement Program Closure and Benefits Sustainment Program closure overview Closing the program Program benefits sustainment Summary What did we learn, and how can we implement this in our work environments?
The Healthcare Assistant course promotes health, safety and well-being in care settings. The fundamental purpose of care assistance is to enhance the quality of life. This course also discusses how Commercial enterprises prioritize financial profit in order to maintain their valuation and viability. To fulfill its responsibility to society, health care must concentrate on generating social profit. If you want to make a career as a health care assistant, Our Healthcare Assistant course will guide you toward success. Healthcare-assistant workers can be found in a wide range of contexts, from mental health to children's services. As a healthcare-assistant worker, you'll work under the supervision of a care professional, supporting them and helping patients on their journey back to good health. The Healthcare Assistant course provides students with a thorough understanding of care assistant practices and procedures, physical and mental health disorders, and legal responsibilities. Developing the necessary skills and knowledge to advance and improve students' medical careers in care support, this course is very important. The Healthcare Assistant course helps students to gain a thorough understanding of care assistants in the UK. There are many types of health care assistants, each with different roles and responsibilities. In the care sector, a caregiver supporter may work as a primary caregiver to patients, in an emergency room, or even as part of a surgical team. They may work with children, the elderly, or any age in between. Our Healthcare Assistant course will teach you the fundamental, practical skills required for obtaining a successful career as a Health care Assistant. A Social caregiver or a certified assistant provides practical and emotional support to many people. This course analyzes and researches the responsibilities and duties of the care worker which makes them capable of being qualified enough to work for humans as well as work professionally as a certified healthcare assistant. A Healthcare Assistant is someone who can work in various areas related to patient care and treatment in both public and private care facilities. The support staff's role is to aid healthcare professionals in diagnosing, treating, and caring for patients. The Healthcare Assistant course prepares students to work in the care support industry by providing students with detailed knowledge, accurate understanding and skills. Learning Outcomes: After completing this Healthcare Assistant course, learner will be able to: Gain a thorough understanding of UK's healthcare system Understand healthcare assistant's responsibilities Understand confidentiality & patient health records Understand NHS records management Understand health and safety risks in the healthcare sector Understand hygiene in nursing Gain a solid understanding of infection control in healthcare setting Understand mobility and immobility Understand medical jargon and terminology Understand the impact of covid-19 on mental health and human rights Gain in-depth knowledge of quality in health and social care Why Choose Healthcare Assistant Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the course. ***Others Benefits of this Healthcare Assistant Course Free One PDF Certificate Access to Content - Lifetime Exam Fee - Totally Free Unlimited Retake Exam [ Note: Free PDF certificate as soon as completing the course] The Healthcare Assistant course will help you navigate the healthcare framework and gain the knowledge you need to succeed. Healthcare assistance is a dynamic field in the care industry, with care supporters working in a variety of settings as part of multidisciplinary health care teams. From The Healthcare Assistant course, students will understand the responsibilities of a caregiver's responsibilities ranging from administration to medical treatment. We leave no stone unturned, and whether you are ready to take The Healthcare Assistant course to improve your career or simply want to improve your current skills, we will assist you every step of the way. Through The Healthcare Assistant course, you will also gain in-depth knowledge about NHS records management. It also includes step-by-step instructions on how to administer prescription-only medicines, read product labels, keep patient records, and much more. Doctors and care assistants are equally important. They play a key role in the NHS. Healthcare-assistants work alongside nurses, midwives, and other health professionals to provide care to patients. The job is crucial for patient comfort. By attending to patients' basic but essential needs, care assistants can have a significant impact on their comfort and well-being. This Healthcare Assistant course is designed to provide you with a thorough understanding of how to do these tasks effectively. This Healthcare Assistant course will teach you about health and safety responsibilities, patient mobility and immobility issues in nursing, infection control, and how to maintain hygiene in nursing. This course includes adapting to working as a Healthcare Assistant in various health-care settings, maintaining medical records, and several legal, professional standards, and ethical aspects of health care. So, enroll today. Detailed course curriculum of *** Healthcare Assistant *** Module 1: Introduction to the UK Healthcare System An Overview of the UK Healthcare System History of the UK Healthcare System Trends and Developments Current Healthcare systems in the UK Healthcare Systems in Different Regions of the UK The Top Healthcare Carriers in the UK People With Special Needs Reinsurance in the UK Healthcare Services Categories of Healthcare Services Module 2: Healthcare Assistant's Responsibilities What is a Healthcare-Assistant? Healthcare-Assistant Duties and Responsibilities Module 3: Confidentiality & Patient Health Records Confidential Patient Information Disclosing and Using Confidential Patient Information Patient Consent to Disclosing The Confidentiality Model Legal Considerations Patient Confidentiality and Covid-19 Disclosure of Deaths Due to Coronavirus Accessing and Sharing Patient Health Records Access to Deceased Patients' Health Records NHS Constitution and Policy Background Electronic Health Records Summary Care Records NHS Data and Cyber Security Patient Data, Apps and Artificial Intelligence (AI) Cross-border Data Sharing After Brexit Module 4: NHS Records Management Management and Organisational Responsibility Policy and Strategy Record Creation Information Quality Assurance Record-Keeping Record Maintenance Scanning Appraisal of Records Module 5: Health And Safety Risks In The Healthcare Sector Roles And Responsibilities What Should Be Considered Before Starting The Risk Assessment? The Risk Assessment Risk Assessment of Potential Occupational Exposure To Infection Risk of Blood-borne Infections Risk of Airborne Infection Risk of Direct And Indirect Contact Infection Module 6: Hygiene In Nursing Hygiene Morning & Evening Care Personal Hygiene Nurse's Role in Personal Hygiene Oral Hygiene Oral Hygiene for Independent Patients Oral Hygiene for Dependent Patients Oral Hygiene for Unconscious Patients Bed Bath Care Of Hands, Feet & Nails Module 7: Infection Control in Healthcare Setting What are HCAIs? Risk Factors for HCAIs HCAIs: Key Policy Issues Some Recent Initiatives on HCAIs Policy Initiatives in Other Countries Overview Module 8: Mobility and Immobility The Basic Concept of Mobility & Immobility Identifying Mobility Issues and the Need for Assistance Assistive Devices Early Mobility Protocols Module 9: Medical Jargon and Terminology Common Anatomy Term Common Pathology Term Module 10: The Impact of Covid-19 on Mental Health and Human Rights International Human Rights Obligations Updated Guidance on Human Rights During the Pandemic Covid-19 And the Effect on Mental Health in the UK Module 11: Quality in Health and Social Care Improving Quality and Delivering Better Outcomes Quality Is Complex and Systemic Setting The Bar on Quality Continuously Improving Quality A Culture That Puts Patients First Summary Of Tools and Levers Spotting The Early Signs of Failure Judging When There Has Been a Quality Failure Responding When Things Go Wrong Assessment Method After completing each module of the Healthcare Assistant, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Once you complete all the modules in this manner, you will be qualified to request your certification. Certification After completing the MCQ/Assignment assessment for this Healthcare Assistant, you will be entitled to a Certificate of Completion from Training Tale. It will act as proof of your extensive professional development. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? This course is ideal for anyone who wants to boost their career as a Healthcare Assistant officer and gain relevant skills. The course is suitable for anyone interested in gaining in-demand Healthcare-Assistant proficiency to help them explore a career as a Healthcare Assistant personnel or improve their Health care Assistant aptitude. Requirements There are no specific requirements for Healthcare Assistant course because it does not require any advanced knowledge or skills. Students who intend to enrol in this course must meet the following requirements: Good command of the English language Must be vivacious and self-driven Basic computer knowledge A minimum of 16 years of age is required Career path The knowledge you will gain through Healthcare Assistant course may lead you to a variety of career opportunities. Such as: Healthcare Assistant: £9.05 - £13.00 per hour Healthcare Solicitor: £70,000 - £90,000 per annum Nursing Assistant: £11.22 per hour Support Worker: £10.50 - £20.00 per hour Certificates Certificate of completion Digital certificate - Included
AgilePM® Practitioner: Virtual In-House Training This course offers preparation for the Practitioner-level examination to gain the APMG-International™ / Agile Project Management Practitioner Certification. Agile Project Management (AgilePM) is the result of collaboration between APMG-International and The DSDM Consortium. DSDM (Dynamic Systems Development Method) is the longest-established Agile method, launched in 1995, and is the only Agile method to focus on the management of Agile projects. The method has evolved over the years and the DSDM Agile Project Framework is the latest version of which AgilePM is a subset. DSDM has always operated predominantly in the corporate environment and has consistently demonstrated its ability to successfully work with and complement existing corporate processes. APMG-International is a global Examination Institute accredited by The APM Group Ltd. It is one of the Examination Institutes accredited by AXELOS. APMG-International has regional offices located in Australia, China, Denmark, Germany, the Netherlands, Malaysia, the United States, and the United Kingdom. Their portfolio of qualifications includes the Best Practice qualifications of ITIL®, PRINCE2®, MSP®, M_o_R®, and P3O®. AgilePM is one of their specialist management qualifications, which also include Change Management and Service Catalogue. The course covers all the Practitioner elements of the AgilePM Handbook v2 with: Clear explanations of the method and practical examples provided by your course tutor Sample exam paper for the Practitioner-level exams to enrich your knowledge and understanding A case study to allow you to practice the application of the method to an agile project The Traditional Classroom option includes the Practitioner exam to provide you with the right opportunity to verify your new skill set by way of a professional qualification The Virtual Classroom option includes a Practitioner exam voucher to allow you to choose the date and time of your online exam to verify your new skill set by way of a professional qualification What You Will Learn You will learn how to: Identify and apply the concepts, tools, and techniques described in Section 2 (Digging Deeper) of the APMG-International's Agile Project Management Handbook (v2.0) to agile projects Tailor and customize AgilePM to suit the needs of different projects Use AgilePM in conjunction with other project management methods such as PRINCE2® Prepare yourself for the Practitioner exam in AgilePM Roles and Responsibilities - The PM View The roles Key project manager relationships Agile Project Management - Through the Lifecycle The DSDM process and the project lifecycle Project management focus phase by phase The Effective Use of Products The products Deliver on Time - Combining MoSCoW & Timeboxing Ensuring effective prioritisation Bringing MoSCoW and timeboxing together People, Teams, and Interactions Effective communication Collaboration Requirements and User Stories What is a requirement? User stories Estimating - How and When Coping with uncertainty Estimating through the lifecycle Project Planning through the Lifecycle Planning in a DSDM project Planning activities phase by phase Quality - Never Compromise Quality What do we mean by quality? Solution and process quality Risk Management Project risk How DSDM helps mitigate project risk Tailoring the Approach The project approach questionnaire Summary and Next Steps
This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.
AgileSHIFT®: Virtual In-House Training AgileSHIFT® is the change your organization needs: the business landscape is changing and transformation is necessary. But it is also hard. This program is aimed to drive transformational change throughout an organization. This new enterprise agility guidance empowers individuals to use a lightweight tailorable framework to understand, engage with, and champion change by embracing agile and lean ways of working. Taking a holistic view of an organization, AgileSHIFT® will create and support the champions of change your business needs in order to thrive in an increasingly competitive and disruptive workplace. What You Will Learn At the end of this program you will be able to: Identify why organizations need to create a culture of enterprise agility in response to a changing context Recognize how to think and work differently to enable change Explore agile and lean thinking concepts and how they relate to running and changing your organization Utilize key concepts of the AgileSHIFT® framework Describe the AgileSHIFT® delivery approach Getting Started A changing context Enterprise agility The Purpose of AgileSHIFT® The AgileSHIFT® Framework AgileSHIFT® principles AgileSHIFT® practices AgileSHIFT® roles AgileSHIFT® workflow Benefits of AXELOS.com Summary and Next Steps
Learn to efficiently use Midjourney, an AI image-generation tool sweeping the globe. Generate images with artificial intelligence (AI) in a revolutionary way using text prompts or simple drawing tools. So, join this course and let's get your first idea on the screen!
Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Welcome to the course Introduction 00:02:00 Setting up R Studio and R crash course Installing R and R studio 00:05:00 Basics of R and R studio 00:10:00 Packages in R 00:10:00 Inputting data part 1: Inbuilt datasets of R 00:04:00 Inputting data part 2: Manual data entry 00:03:00 Inputting data part 3: Importing from CSV or Text files 00:06:00 Creating Barplots in R 00:13:00 Creating Histograms in R 00:06:00 Basics of Statistics Types of Data 00:04:00 Types of Statistics 00:02:00 Describing the data graphically 00:11:00 Measures of Centers 00:07:00 Measures of Dispersion 00:04:00 Introduction to Machine Learning Introduction to Machine Learning 00:16:00 Building a Machine Learning Model 00:08:00 Data Preprocessing for Regression Analysis Gathering Business Knowledge 00:03:00 Data Exploration 00:03:00 The Data and the Data Dictionary 00:07:00 Importing the dataset into R 00:03:00 Univariate Analysis and EDD 00:03:00 EDD in R 00:12:00 Outlier Treatment 00:04:00 Outlier Treatment in R 00:04:00 Missing Value imputation 00:03:00 Missing Value imputation in R 00:03:00 Seasonality in Data 00:03:00 Bi-variate Analysis and Variable Transformation 00:16:00 Variable transformation in R 00:09:00 Non Usable Variables 00:04:00 Dummy variable creation: Handling qualitative data 00:04:00 Dummy variable creation in R 00:05:00 Correlation Matrix and cause-effect relationship 00:10:00 Correlation Matrix in R 00:08:00 Linear Regression Model The problem statement 00:01:00 Basic equations and Ordinary Least Squared (OLS) method 00:08:00 Assessing Accuracy of predicted coefficients 00:14:00 Assessing Model Accuracy - RSE and R squared 00:07:00 Simple Linear Regression in R 00:07:00 Multiple Linear Regression 00:05:00 The F - statistic 00:08:00 Interpreting result for categorical Variable 00:05:00 Multiple Linear Regression in R 00:07:00 Test-Train split 00:09:00 Bias Variance trade-off 00:06:00 Test-Train Split in R 00:08:00 Regression models other than OLS Linear models other than OLS 00:04:00 Subset Selection techniques 00:11:00 Subset selection in R 00:07:00 Shrinkage methods - Ridge Regression and The Lasso 00:07:00 Ridge regression and Lasso in R 00:12:00 Classification Models: Data Preparation The Data and the Data Dictionary 00:08:00 Importing the dataset into R 00:03:00 EDD in R 00:11:00 Outlier Treatment in R 00:04:00 Missing Value imputation in R 00:03:00 Variable transformation in R 00:06:00 Dummy variable creation in R 00:05:00 The Three classification models Three Classifiers and the problem statement 00:03:00 Why can't we use Linear Regression? 00:04:00 Logistic Regression Logistic Regression 00:08:00 Training a Simple Logistic model in R 00:03:00 Results of Simple Logistic Regression 00:05:00 Logistic with multiple predictors 00:02:00 Training multiple predictor Logistic model in R 00:01:00 Confusion Matrix 00:03:00 Evaluating Model performance 00:07:00 Predicting probabilities, assigning classes and making Confusion Matrix in R 00:06:00 Linear Discriminant Analysis Linear Discriminant Analysis 00:09:00 Linear Discriminant Analysis in R 00:09:00 K-Nearest Neighbors Test-Train Split 00:09:00 Test-Train Split in R 00:08:00 K-Nearest Neighbors classifier 00:08:00 K-Nearest Neighbors in R 00:08:00 Comparing results from 3 models Understanding the results of classification models 00:06:00 Summary of the three models 00:04:00 Simple Decision Trees Basics of Decision Trees 00:10:00 Understanding a Regression Tree 00:10:00 The stopping criteria for controlling tree growth 00:03:00 The Data set for this part 00:03:00 Importing the Data set into R 00:06:00 Splitting Data into Test and Train Set in R 00:05:00 Building a Regression Tree in R 00:14:00 Pruning a tree 00:04:00 Pruning a Tree in R 00:09:00 Simple Classification Tree Classification Trees 00:06:00 The Data set for Classification problem 00:01:00 Building a classification Tree in R 00:09:00 Advantages and Disadvantages of Decision Trees 00:01:00 Ensemble technique 1 - Bagging Bagging 00:06:00 Bagging in R 00:06:00 Ensemble technique 2 - Random Forest Random Forest technique 00:04:00 Random Forest in R 00:04:00 Ensemble technique 3 - GBM, AdaBoost and XGBoost Boosting techniques 00:07:00 Gradient Boosting in R 00:07:00 AdaBoosting in R 00:09:00 XGBoosting in R 00:16:00 Maximum Margin Classifier Content flow 00:01:00 The Concept of a Hyperplane 00:05:00 Maximum Margin Classifier 00:03:00 Limitations of Maximum Margin Classifier 00:02:00 Support Vector Classifier Support Vector classifiers 00:10:00 Limitations of Support Vector Classifiers 00:01:00 Support Vector Machines Kernel Based Support Vector Machines 00:06:00 Creating Support Vector Machine Model in R The Data set for the Classification problem 00:01:00 Importing Data into R 00:08:00 Test-Train Split 00:09:00 Classification SVM model using Linear Kernel 00:16:00 Hyperparameter Tuning for Linear Kernel 00:06:00 Polynomial Kernel with Hyperparameter Tuning 00:10:00 Radial Kernel with Hyperparameter Tuning 00:06:00 The Data set for the Regression problem 00:03:00 SVM based Regression Model in R 00:11:00 Assessment Assessment - Machine Learning Masterclass 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00
Project Contract Management Skills: In-House Training Contracts are a critical part of most large or strategic projects/programs. As such, it is imperative that Project and Program Managers be well versed on basic implications of a contract as well as best practices in contract management. While not as critical a need, anyone involved in projects that involve external relationships should have a healthy appreciation for the power of good contract management. The overall goal of the course is to provide knowledge to manage complex contracts in a global environment. What You Will Learn After this program, you will be able to: Explain overall project procurement process from a buyer and seller perspective Recognize the importance of key contractual terms and how they affect projects Evaluate and contribute to the pre-contract documents and processes Identify and mitigate common pitfalls throughout the procurement process Utilize techniques to administer contracts Getting Started Introductions Course structure Course goals and objectives Foundation Concepts The Importance of Contract Management Terms and Definitions Contract Management Process Legal Systems Codes of Conduct Planning Business Analysis Procurement Management Plan Procurement Statement of Work (SOW) Common Pitfalls Solicit Contract Market Analysis Bid documents Sellers' Proposals Pitfalls Execute Contract Evaluate and Award Contract Negotiate Contract Execute Contract Common Pitfalls Deliver the Contract Preparing to Deliver Project Plan Risk Management Common Pitfalls Administer Contract Enabling Contract Management Contract Performance Monitoring and Control Change Management Financial Management / Payment Dispute Management & Resolution Contract Completion and Closure