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Duco Digital Training's course in BCS Requirements Engineering Practitioner develops your skills in the understanding and application of elicitation, analysis and management of business analysis requirements.

Highlights of the Course Course Type: Online Learning Duration: 1 to 2 hours Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about campaigning Understand the core competencies and principles of campaigning Explore the various areas of campaigning Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert professional Campaigning for Change Online Program Course Master the skills you need to propel your career forward in campaigning. This course will equip you with the essential knowledge and skillset that will make you a confident professional and take your career to the next level. This comprehensive campaigning for change course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this campaigning for change course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective campaigning practice and equip you with the essential skills, confidence and competence to assist you in the campaigning industry. You'll gain a solid understanding of the core competencies required to drive a successful career in campaigning. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for professional or for people who are aspiring to specialise in campaigning. Enrol in this campaigning for change course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive campaigning for change course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this campaigning can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This campaigning for change course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This campaigning for change course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This campaigning for change course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. 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 Introduction Introduction 00:02:00 What is Campaigning 00:06:00 What is Your Problem What is Your Problem and Why is it a Problem 00:04:00 What is Your Problem - an Example 00:02:00 The External Environment Your External Environment 00:03:00 Evidence for Campaigning What Evidence Do You Have 00:02:00 The TEA Test Do You Pass The Tea Test 00:04:00 The Elevator Pitch Can You Do The Elevator Pitch 00:04:00 credibility and Risk How Credible are You and What are The Risks 00:03:00 Influence Tree Do You Have an Influence Tree 00:05:00 opposition The Opposition Matrix 00:03:00 Opposition - Examples 00:06:00 Theory of Change Do You Have a Theory of Change 00:07:00 Campaigning and Story Telling 00:03:00 Plan for Success Do You Have a Plan for Success 00:03:00 conclusion When are You Next Going to Review Progress 00:04:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Organizational Behaviour, HR and Leadership Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Organizational Behaviour, HR and Leadership Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Organizational Behaviour, HR and Leadership Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Organizational Behaviour, HR and Leadership Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Organizational Behaviour, HR and Leadership? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Organizational Behaviour, HR and Leadership there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Organizational Behaviour, HR and Leadership course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Organizational Behaviour, HR and Leadership does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Organizational Behaviour, HR and Leadership was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Organizational Behaviour, HR and Leadership is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction to Organizational Behavior, HRM and Leadership Organizational Behaviour and Leadership 00:01:00 Organisation Behaviour 00:02:00 Leadership 00:02:00 Human Resource Management Part 1 00:02:00 Human Resource Management Part 2 00:01:00 Section 02: Motivating Individuals Individual: Motivating Individuals 00:01:00 Theories of Motivation 00:01:00 Herzbergs Two-Factor Theory 00:01:00 Career Anchors 00:02:00 Motivating Millennials and Post-Millennials 00:01:00 Motivation and Remuneration 00:02:00 Section 03: Performance Management Performance Management 00:01:00 The PM Cycle Part 1 00:03:00 The PM Cycle Part 2 00:01:00 Approaches to Performance Management 00:03:00 Dealing with Poor Performance 00:02:00 Managing Stars 00:01:00 Why PM Fails Part 1 00:01:00 Why PM Fails Part 2 00:01:00 Section 04: Leadership Approaches Leadership Roles Management Vs Leadership Part 1 00:01:00 Leadership Roles Management Vs Leadership Part 2 00:03:00 Approaches to Leadership 00:01:00 The Lewin Leadership Roles 00:02:00 The Black-Mounton Managerial Grid 00:01:00 Path-Goal Theory 00:01:00 The Flamholtz and Randle Leadership Style Matrix 00:01:00 Six Emotional Leadership Styles 00:01:00 Transformational and Transactional Leadership 00:02:00 Situational Leadership 00:01:00 Charismatic Leadership 00:01:00 Servant Leadership 00:01:00 Section 05: Managing Change and Crisis Integration: Managing Change and Crisis 00:03:00 The McKinsey 7S Model 00:02:00 Employee-Focused Change 00:03:00 The Deming Cycle 00:01:00 Revolutionary Change and Disruption 00:01:00 Employee-Focused Change 00:03:00 In Summary: Foundations for a Successful Change 00:02:00 Crisis Management 00:01:00 Steps in Managing a Crisis Part 1 00:02:00 Steps in Managing a Crisis Part 2 00:02:00 Assignment Assignment - Organizational Behaviour HR and Leadership 00:00:00

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00

This course equips learners with a comprehensive understanding of the NumPy stack, including NumPy, Matplotlib, Pandas, and SciPy, to effectively tackle common challenges in deep learning and data science. Master the basics with this carefully structured course.

The practice of Shamanic Healing invites us to reunite with our sacred path, and remember the journey of our Soul. Through the practice we have the chance to expand our connection with the Earth and the Cosmo, and experience oneness with all of life. The Level 1 is a nine months programme scheduled across one year. It is offered online via Zoom, over weekends, 10am - 4.30pm.

⏰️ Available from 24th October at 7pm Sign up once for either one or both sessions for £20 ONLY! ST1 on 29th Oct: 7 - 8pm ST4 on 30th Oct: 7 - 8pm Both sessions will be held on the same link which will be sent on payment. Price: £20 (non-refundable) for Q&A only! OR…… Watch our pre-recorded webinar of ST4 and ST1 Applications and Interviews & attend the Q&A for £25 BELOW !! : https://london-school-of-cardiothoracics.cademy.co.uk/st1-st4-applications-in-cardiothoracic-surgery-webinar-2024-536c1b8c 📝 Sign up to listen to a breakdown of the scoring matrix, how best to boost your portfolio to get a national training number and all the interview tips we can give you! Hear from National trainees who have been through the process, their advice, hints and tips. 🚨 Sign up and get access to the Live Q&A where we will talk about any updates and changes to the 2025 scoring matrix - delivered by current and recently appointed ST4 and ST1 trainees. This session will give you the best opportunity to discuss in real time any changes that come out! Please ensure you check all mail folders, including spam/junk folders, and add 'notifications@system.cademy.co.uk' Cademy to the list of 'safe senders', to ensure you receive all future emails. 

Whether you want to close a business deal or sell a house effective negotiation skills can help you seal the deal. This craft can take you a long way in both your personal and professional life. Learn this useful skill set from the comfort of your home with the Negotiation Skills Certificate course. This course will take your skills to the next level in no time. This course will provide quality training on negotiation. Through the informative and engaging modules, you will get a clear understanding of collaborative negotiation. Then it will provide elaborate lessons on the seven steps of successful negotiation. Next, you will learn how to apply these steps in your home. The course will also teach you tips and tricks to negotiate with different personalities. In addition to this valuable skill set you will also receive a certificate of achievement which will add significant value to your resume. Join now! Learning Outcomes  Get introduced to the essentials of collaborative negotiation Learn about the 7 steps of successful negotiation in detail Know how to use these 7 steps in your home Develop the skills to negotiate with different personality types Identify the practices you should avoid while negotiating Who is this Course for? Anyone who wants to improve their negotiation skills can join the course. The Negotiation Skills Certificate course will equip the learners with excellent negotiation techniques and help them close lucrative deals. Entry Requirements Individuals from any background can take the course A good understanding of the English language, numeracy and ICT Any smart device such as a laptop, pc, or smartphone with an internet connection CPD Certificate from Course Gate  After completing the final assignment, you will receive a CPD-accredited certificate. The PDF copy of the certificate will cost you £9. You can order the hard copy for £15, or you can get both the hard copy and PDF certificate for £22. Career Path This course will provide the learners with an in-depth understanding of the subject. After completing the course, the learners will develop the skills and knowledge to explore career opportunities in the following fields  Sales Executives Customer Service Executives Project Managers Estate Agent Contract Specialist Course Curriculum Introduction and The Principles of Collaborative Negotiation Welcome and Course Overview 00:06:00 Why Good Negotiation Practice Leads to Better Relationships 01:03:00 Shameless Book Plug 00:01:00 Millie's Cookie Story 00:07:00 Exercise 1: Intentions / Objectives for This Programme 00:01:00 Giving Structure to Your Negotiation Strategy Negotiation is not 00:02:00 Distinguishing Negotiation from -Haggling 00:07:00 The 7 Steps to Negotiation Success 00:06:00 Exercise 2: Giving Structure to your Negotiations 00:01:00 Step One - Preparing Yourself for Collaborative Negotiation Preparing Yourself and Your WIN Outcomes 00:06:00 Exercise 3: Securing Commitment to Negotiate 00:01:00 The 4 P's 00:01:00 The Importance of Personality 00:02:00 We, Then Me 00:02:00 Exercise 4: The 4 P's 00:01:00 Step Two - Preparation - Understanding the Power of Variables Introduction to Variables 00:04:00 Video Examples of Excellent Creativity in Variables 00:03:00 Exercise 5: Understanding the Power of Variables 00:01:00 Using the WIN Matrix 00:03:00 Exercise 6: Write Your Win Matrix 00:02:00 Step Three - Understanding Your Partner's Point of View Introduction 00:01:00 Example Story- Maps of the World - Dyl's Den 00:03:00 Exercise 7: Stepping Into Your Partner's Shoes 00:01:00 Step Four - Discussing Introduction- Stating Intentions 00:04:00 Co-Active Listening- Are You Really Listening 00:02:00 The Power of Pause 00:01:00 Exercise 8: Using Open Questions 00:01:00 Exercise 9: Going Above and Beyond Their Wildest Dreams 00:01:00 Exercise 10: Socratic Questioning 00:04:00 Exercise 11: Creating a Discussion Agreement Statement= 00:01:00 Step Five - Proposing Introduction to the Propose Stage 00:05:00 Exercise 12: Putting Your Proposal into Writing 00:01:00 Step Six - Bargaining Introduction 00:02:00 Exercise 13: Creating a Bargaining Agreement Statement 00:02:00 The Power of Silence 00:04:00 Exercise 14: Developing Your Time-Out Strategy 00:01:00 Step Seven - Agreeing Introduction to Bargaining 00:04:00 The Written Columbo 00:02:00 Exercise 15: Drafting an 'Agreement In Principle' 00:01:00 Getting Yourself Out of the Way - The Human Operating System Introduction - The Missing Link 00:04:00 Exercise 16: Noticing Your Thinking 00:02:00 What Does this Mean in Your Negotiations? 00:03:00 Understanding Personality Why Personality? 00:05:00 Introducing the 4 Colours 00:04:00 Introducing the 8 Aspects 00:04:00 Inspiration v Discipline Driven 00:04:00 Exercise 17: Teddy Bear 00:01:00 Big Picture vs Down to Earth 00:03:00 Exercise 18: Football Club Trip 00:01:00 People Focused vs Outcome Focused 00:02:00 Splash App 00:02:00 Exercise 19: Completing Your Own Assessment 00:01:00 Negotiation with Different 'Personality Types' 00:04:00 Using the Seven Steps at Home Introduction 00:04:00 Avoiding Common Gambits Some Negotiators Use Nibbling - The Columbo 00:02:00 The Flinch 00:02:00 The Red Herring 00:01:00 Higher Authority 00:02:00 The Reluctant Buyer - Seller 00:01:00 The Best of a Bad Choice 00:01:00 Conclusion - Can You Really Get More by Giving More? Conclusion & Thank You 00:02:00 Bonus Lecture 00:01:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Masterclass on Stakeholder Engagement for Project Managers Are you navigating a complex landscape of stakeholders, each with unique influences and expectations? This masterclass is designed to empower project managers with practical, proven techniques for identifying, analysing, and engaging stakeholders effectively. Participants will learn how to categorise stakeholders using tools like the Influence/Interest Matrix and Salience Model, and assess engagement levels to craft tailored communication strategies. This masterclass focuses on clear, adaptable communication, backed by insights from real-world project challenges. You’ll gain the skills to turn even the most resistant stakeholders into project allies, ensuring smoother project delivery and stronger stakeholder relationships. Key Takeaways: - Techniques to identify and categorise stakeholders based on influence and interest. - Tools to assess engagement levels and determine the best engagement approach. - Tailored communication strategies to keep stakeholders aligned with project goals. Join me to transform your approach to stakeholder management, moving from managing challenges to building sustainable, strategic partnerships.

IASSC lean six sigma black belt course. Online, 24/7 access to content and exam. Fee includes learning content, live webinars, tutor support, and official IASSC exam.