23094 Business courses

Pushy boardroom bullies... battling agendas... conflicts of interest. Here are the most common drivers of trouble in the boardroom, and tools for making things right.

This first-ever, free assessment-based certificate program is designed specifically for humanitarian and development professionals and partner agency staff to learn the core principles, practices, and tools for effective project management. https://www.disasterready.org/free-certificate-project-management

This course will provide delegates involved in tackling the financial underpinning of corrupt behaviour with the knowledge, concepts and practices necessary to understand and mitigate illicit financial flows.

Duration 2 Days 12 CPD hours This course is intended for This course is designed for all project managers and project team leaders. Overview At course completion, students will be able to identify, analyze, respond to, and control project risks. This course focuses on improving the project manager?s risk management expertise, from initial planning through project closure. Participants will apply all course principles to a work-related case study taken directly from their work environment. Risk Management Overview Risk Management Benefit and Uses Project Risk Management Project Management Life Cycle Initiating Process Group Initiating Process Group Overview Develop Project Charter Identify Stakeholders Project Selection Criteria ROI Analysis ROI Methods Risk Complexity Index Project Selection Planning Process Group Planning Process Group Overview Scope Risks Schedule Risks Resource Risks Plan Risk Management Identify Risks Delphi Technique Subject Matter Expert Input Brainstorming Fishbone Diagrams Process Analysis Five Whys Influence Diagrams Risk Breakdown Structure (RBS) Risk Register Perform Qualitative Risk Analysis Probability and Impact Assessment Probability and Impact Chart Perform Quantitative Risk Analysis Three point estimates PERT Triangular Distributions Outlier Considerations Geometric Mean Normal Distributions Methods Tornado Diagrams Expected Monetary Value (EMV) Monte Carlo Plan Risk Responses Risk Response Strategies Overall Project Risk Checklists Executing, Monitoring and Controlling Process Groups Executing Process Group Overview Monitoring and Controlling Process Group Overview Control Risks Project Monitoring Longer Projects Closing Process Group Closing Process Group Overview Close Project or Phase Risk Activities During Closing Process Group Post-Project Risk Assessment

Duration 1 Days 6 CPD hours This course is intended for This course is intended for those who want to understand and use soft skills to communicate, problem solve, and resolve conflict. Overview Upon successful completion of this course, participants will use soft skills to more effectively interact with people and improve communication skills. In this course, participants will develop a core set of ten soft skills. Getting Started Workshop Objectives Action Plan What are Soft Skills? Definition of Soft Skills Empathy and the Emotional Intelligence Quotient Professionalism Learned vs. Inborn Traits Practical Illustration Communication Ways We Communicate Improving Nonverbal Communication Listening Openness and Honesty Practical Illustration Team Work Identifying Capabilities Get Into Your Role Learn the Whole Process The Power of Flow Practical Illustration Problem Solving Define the Problem Generate Alternative Solutions Evaluate the Plans Implementation and Re-Evaluation Practical Illustration Time Management The Art of Scheduling Prioritizing Managing Distractions The Multitasking Myth Practical Illustration Attitude and Work Ethic What Are You Working For? Caring for Others vs Caring for Self Building Trust Work Is Its Own Reward Practical Illustration Adaptibility/Flexibility Getting Over the Good Old Days Syndrome Changing to Manage Process Changing to Manage People Showing You?re Worth Your Weight in Adaptability Practical Illustration Self Confidence (Owning It) Confident Traits Self-Questionnaire Sure-fire Self-Confidence Building Tactics Build Up Others Practical Illustration Ability to Learn Wow, You Mean I?m Not Perfect? Listen with an Open Mind Analyze and Learn Clear the Air and Don?t Hold Any Grudges Practical Illustration Networking Redefine Need Identifying Others? Interests Reach Out When to Back Off Practical Illustration Wrapping Up Words From the Wise

About Course Data Science and Data Analytics with Python: A Comprehensive Course for Beginners Unlock the power of data and gain insights that drive informed decisions with this comprehensive course on data science and data analytics with Python. This course is designed for beginners of all skill levels, with no prior programming experience required. You will learn the essential skills to embark on your data-driven journey, including: Data manipulation with NumPy and Pandas Data visualization with Matplotlib and Seaborn Statistical analysis with Python Machine learning and artificial intelligence You will also gain hands-on experience with real-world data projects, allowing you to apply your newfound knowledge to solve real-world problems. By the end of this course, you will be able to: Understand the fundamentals of data science and data analytics Apply Python to manipulate, visualize, and analyze data Use Python to build machine learning and artificial intelligence models Solve real-world data problems This course is the perfect launchpad for your data science journey. Whether you are looking to pivot your career, enhance your skill set, or simply quench your curiosity, this course will give you the foundation you need to succeed. Enroll today and start exploring the fascinating world of data science together! What Will You Learn? Understand the fundamentals of data science and data analytics Apply Python to manipulate, visualize, and analyze data Use Python to build machine learning and artificial intelligence models Solve real-world data problems Course Content Introduction to Python Data Science Introduction to Python Data Science Environment Setup Data Cleaning Packages Working with the Numpy package Working with Pandas Data science package Data Visualization Packages Working with Matplotlib Data Science package (Part - 1) Working with Matplotlib Data Science (Part - 2) A course by Uditha Bandara Microsoft Most Valuable Professional (MVP) RequirementsBeginners level knowledge for working with Data .Programming knowledge not required. Audience Beginners with no prior programming experience Anyone interested in learning data science and data analytics Audience Beginners with no prior programming experience Anyone interested in learning data science and data analytics

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AI in Project Management: The Next Generation of Project Decision Making Project managers need to make critical project decisions on a daily basis. They are confronted with increasing complexities, high ambiguity and the need to process an exponentially growing amount of data and information in order to make informed and good decisions. This leads to an increasing risk of project failure - meanwhile, the project management industry is already challenged with ongoing low project success rates, caused by often massive failures of projects. Project Data Analytics and Artificial Intelligence (AI) are expected to fill the gap by providing analytical and unbiased capabilities that go beyond human possibilities, towards a data-driven and fact-based decision-making approach. While there is little doubt that AI as a trending technology will disrupt the project management practice and augment today's project management capabilities, AI cannot be seen as just another new tool to make project management more effective. Rather, AI will act as a complement to human intelligence, requiring a collaborative approach and, accordingly, a significant change in project culture and peoples' mindset. Today's project decisions are usually driven by human intuition, experience, leadership, and often do not follow any rational logic. Project decision-makers will be required to abandon such an approach and shift to a data-driven, decision-making approach. This session will provide an overview of the expected changes from AI-driven project management, the resulting impact on project decision making and changes in project culture, and what actions can be taken by project professionals to match their beliefs and behaviours with the new project culture. Learning goals: Gain insights into how AI for project management will significantly change decision-making in projects Gain an understanding of how to transition to a new AI-powered project culture

Overview This is a 2 day course to learn ALM tools to achieve strong and market-resilient, actuarially-resilient Solvency 2 (S2) ratios at Group consolidated level and at key cash-remitting entities to ensure dividend stability. For those not fully familiar with Solvency 2, this course is best taken in conjunction with “Solvency 2” Who the course is for Capital management / ALM / risk management staff within insurance company Investors in insurance company securities – equity, subordinated bonds, insurance-linked securities Salespeople covering insurance companies Course Content To learn more about the day by day course content please request a brochure To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now

The aim of this course is to provide project managers, project engineers and project support staff with a toolkit they can use on their projects. The tools range from the simple that can be used on all projects to the advanced that can be used where appropriate. This programme will help the participants to: Identify and engage with stakeholders Use tools for requirements gathering and scope management Produce better estimates using a range of techniques Develop more reliable schedules Effectively manage delivery DAY ONE 1 Introduction Overview of the programme Review of participants' needs and objectives 2 Stakeholder management Using PESTLE to aid stakeholder identification Stakeholder mapping The Salience model Stakeholder engagement grid 3 Requirements management Using prototypes and models to elucidate requirements Prioritising techniques Roadmaps Requirements traceability 4 Scope management Work breakdown structures Responsibility assignment matrix 5 Delivery approaches Sequential Agile 6 Estimating Comparative estimating Parametric Bottom-up Three-point estimating Delphi and Planning Poker Creating realistic budgets DAY TWO 7 Scheduling Critical path analysis Smoothing and levelling Timeboxing Team boards Monte Carlo simulations Probability of completion 8 People management Situational Leadership The Tuckman model Negotiation Conflict management Belbin 9 Monitoring and control Earned value management 10 Course review and action planning Identify actions to be implemented individually Conclusion PMI, CAPM, PMP and PMBOK are registered marks of the Project Management Institute, Inc.