271 Decision Making courses in Belper delivered Live Online

Women in Local Government Leadership Workshop is for Local Government professionals looking to learn new skills with like-minded peers and further or advance their within Local government.

Course Overview This course on "Capital Budgeting & Investment Decision Rules" provides a comprehensive foundation in the key concepts and techniques used in evaluating long-term investments. Covering fundamental methods such as Net Present Value (NPV), Payback Period, and Internal Rate of Return (IRR), the course explores how businesses make critical decisions on capital allocation. Learners will gain a deep understanding of the tools used to assess the financial viability of projects, ensuring they can apply these methods in real-world situations. This course is designed to equip professionals with the knowledge to evaluate investment opportunities effectively and contribute to strategic decision-making. Course Description The "Capital Budgeting & Investment Decision Rules" course delves into essential financial decision-making techniques used by organisations to evaluate potential investments. Topics include the NPV method, Payback Period, IRR, and how to assess projects with varying timelines. Learners will explore the advantages and limitations of each method and understand their applications in different business contexts. The course also covers the evaluation of projects with different durations and how to select the best investment strategies to achieve organisational goals. Through this learning experience, participants will acquire the analytical skills necessary to make informed capital budgeting decisions, ultimately strengthening their financial decision-making acumen. Course Modules Module 01: Introduction Module 02: NPV Method Module 03: Payback Period Method Module 04: Internal Rate of Return (IRR) Module 05: Evaluating Projects in Different Lives Module 06: Conclusion (See full curriculum) Who is this course for? Individuals seeking to understand capital budgeting methods. Professionals aiming to enhance their financial analysis skills. Beginners with an interest in finance and investment decision-making. Anyone looking to develop their knowledge in investment evaluation techniques. Career Path Financial Analyst Investment Analyst Corporate Finance Professional Project Manager Risk Manager Business Consultant

Course Overview: "Financial Ratio Analysis for Business Decisions" equips learners with essential tools to analyse financial statements effectively, enabling better business decision-making. The course introduces key financial ratios such as profitability, return, liquidity, and operational ratios, providing valuable insights into a company's financial health. By understanding these ratios, learners can evaluate business performance, assess risks, and make informed decisions in various business contexts. The course is designed to enhance the financial acumen of professionals across sectors, equipping them with the analytical skills needed to drive strategic decisions and improve financial outcomes. Learners will gain a comprehensive understanding of how financial ratios influence corporate strategy, with an emphasis on real-world application in business operations and decision-making. Course Description: This course covers a range of financial ratios essential for making informed business decisions. Learners will explore profitability ratios, return ratios, liquidity ratios, and operational analysis, learning how to interpret and use these metrics to evaluate a company's performance. The curriculum also delves into identifying potential financial manipulations and understanding how these impact decision-making. By completing the course, learners will gain a solid understanding of financial ratio analysis and its role in assessing the strengths and weaknesses of an organisation's financial health. The course is designed for professionals across industries looking to enhance their financial literacy and analytical skills, preparing them to make confident, data-driven decisions. Learners will benefit from structured content, expert-led discussions, and industry-specific case studies that help contextualise theoretical concepts. Course Modules: Module 01: Introduction Overview of Financial Ratios Importance of Ratio Analysis in Decision-Making Key Terminology and Definitions Module 02: Profitability Understanding Profit Margin Ratios Gross Profit Margin Net Profit Margin Return on Assets (ROA) and Return on Equity (ROE) Module 03: Return Ratio Definition and Importance of Return Ratios Return on Investment (ROI) Economic Value Added (EVA) Evaluating Business Performance Module 04: Liquidity Ratio Importance of Liquidity Ratios in Business Current Ratio Quick Ratio Cash Flow Analysis Module 05: Operational Analysis Efficiency Ratios Asset Turnover Inventory and Receivables Management Module 06: Detecting Manipulations And Making Other Operational Decisions Identifying Financial Statement Manipulations Fraud Detection Techniques Making Operational Decisions Based on Financial Data (See full curriculum) Who is this course for? Individuals seeking to improve their financial decision-making skills. Professionals aiming to enhance their understanding of financial performance metrics. Beginners with an interest in business finance and financial analysis. Business analysts and managers looking to gain deeper insights into financial health. Career Path: Financial Analyst Business Analyst Investment Analyst Finance Manager Management Consultant Risk Manager Corporate Strategy Analyst

Introduction to AI for Business

Duration 5 Days 30 CPD hours This course is intended for The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production

This very practical two-day workshop analyses the content and implications of key MoD terms and conditions of contract. The programme explains the principles and terminology of the contractual aspects of defence procurement as well as considering a number of relevant policies and initiatives. The course covers key components, constructs and methodologies associated with any commercial venture entered into with the UK MoD. Starting at the MoD organisational level the workshop sets the scene by looking at the acquisition process and organisation, detailing the various roles and responsibilities of MoD personnel. The workshop provides an in-depth examination of MoD DEFCONs and many narrative terms, setting them in the context of the organisation and its structures. The workshop helps participants to gain an understanding of the content and purpose of the range of MoD DEFCONs and narrative conditions commonly used throughout the acquisition lifecycle. It includes a review of Part 2 of the Defence Reform Act 2014 regarding Single Source Pricing, which comes into effect in 2015 and is already starting to be applied to significant contracts. On completion of this programme the participants will understand the terminology associated with the MoD terms and conditions of contract and will have an accurate view of their relevance, usage and their legal basis and how they can affect contractual and commercial decision-making. They will have gained an insight into defence acquisition contracting and they will be more commercially aware. DAY ONE 1 The commercial environment Key roles and responsibilities of the MoD organisations at the heart of the acquisition process 2 Tendering to MoD An appraisal of some of the obligations placed upon contractors when they are submitting a proposal to the MoD pre-contract 3 Standardised contracting MoD have introduced non-negotiable standardised contracts for certain levels of procurement. This section considers their use and relevance to defence contracting 4 Pricing, profit, post-costing and payment The parameters specific to a costing structure and the differences between competitive and non-competitive bidding The role of the QMAC, the profit formula, the requirements for equality of information and post-costing Different types of pricing and issues surrounding payment 5 Defence Reform Act - Single Source Pricing Single Source Pricing under Part 2 of the new Defence Reform Act Changes from the existing position, how contractors are affected and the compliance regime that accompanies the new requirements 6 Delivery and acceptance Specific requirements and the significance and impact of failing to meet them Acceptance plans Non-performance and the remedies that may be applied by the Customer - breach of contract, liquidated damages and force majeure DAY TWO 7 Protection of information and IPR Contractor's and MoD's rights to own and use information How to identify background and foreground intellectual property Technical information and copyright in documentation and software How to protect IPR at the various stages of the bidding and contracting process 8 Defence Transformation and Defence Commercial Directorate Widening and increasing roles and functions of the Defence Commercial Directorate Background to the Defence Reform Act 2014 9 Legal requirements Terms used in MoD contracts to reflect basic legal requirements Records and materials required for MOD contracts and therefore the obligations, responsibilities and liabilities that a company undertakes when it accepts these conditions Overseas activities 10 Subcontracting and flowdown Understanding the constructs required by the MoD for subcontracting Which terms must be flowed down to the subcontractor and which are discretionary 11 Termination Termination of a contract for default Termination for convenience How to optimise the company's position on termination 12 Warranties and liabilities Obligations and liabilities a company might incur and how they might be mitigated MoD policy on indemnities and limits of liability 13 Electronic contracting environment Electronic forms of contracting Progress toward a fully electronic contracting environment

Duration 2 Days 12 CPD hours This course is intended for A prior understanding of EU Data Protection legislation is recommended. Candidates are typically management professionals and decision-makers who already have responsibility for data protection compliance within their organisation.Co-Requisite Subjects Candidates should have a good understanding of their own organisation?s data management activities through the life cycle from initial acquisition, through the various areas of processing and usage, to eventual removal or destruction. Overview To equip the learner with a foundational understanding of the principles of the General Data Protection Regulation (GDPR) and to provide constructive suggestions on implementing compliant processes. The social, historical and legal background leading to the General Data Protection Regulation (GDPR) The scope and global context of the GDPR The key concepts within the GDPR The definition of all key words and phrases relating to this Data Protection regulation Principle One: The criteria governing fair, open and transparent processing of personal data Principle Two: Purpose Limitation, the challenge of limiting the processing within the context of specified and lawful purposes Principle Three: Minimisation of processing, and ensuring that only that data is processed which is necessary to achieve the purpose. Principle Two: Purpose Limitation, the challenge of limiting the processing within the context of specified and lawful purposes Principle Three: Minimisation of processing, and ensuring that only that data is processed which is necessary to achieve the purpose. Principle Four: Ensuring that any personal data held by the organisation is kept accurate and current, and that any processing of such data is appropriate Principle Five: Management and storage of personal data in a manner that meets regulatory obligations, while minimising the time that the individual remains identifiable Principle Six: The criteria governing safe, secure and confidential processing of personal data in order to protect its integrity Principle Seven: The key roles, responsibilities and accountabilities of those involved in Data Management within an organisation Establishment within a single Member State Joint Controllers Privacy by Design and by Default Nominated Representatives Third-party Contracts and shared liability Logging of data management processes Data Breach Notification obligations Privacy Impact Assessments Overseas transfer of personal data L2.8 The Data Subject Rights, and their implications for the Data Controller and the Data Processor L2.8.1 The ?right to be forgotten? L2.8.2 The right to restriction of processing L2.8.3 The right to object to certain processing L2.8.4 The right to have inaccurate data amended or erased L2.8.5 The right to data portability L2.8.6 The right of access to one?s personal data L2.8.7 Rights in relation to automated decision-making and profiling The role of the Data Protection Officer (DPO) The role of the Data Protection Officer (DPO) Criteria for designating a DPO Tasks of the DPO Position of the DPO within the organisation The role of the Supervisory Authority within the Member State The Lead Supervisory Authority and independence Investigative, corrective and advisory powers Independence of the Supervisory Authority Collaboration with other Supervisory Authorities Codes of Conduct and Certification The role, powers and tasks of the European Data Protection Board (EDPB) The remedies, liabilities and penalties available under the GDPR Right to raise a complaint Right to representation Right to effective judicial remedy Right to compensation and liability Administrative fines of up to ?10m or 2% of GAT Administrative fines of up to ?20m or 4% of GAT Provisions for specific processing situations Freedom of Expression Processing of official documents Processing of National Identification Numbers Processing regarding employment Processing for archiving purposes Processing under obligations of official secrecy Processing of data by religious organisations Preparing for implementation of the GDPR Review of data management policies and procedures Review of data assets and security structures Training and Awareness-raising Data management governance structures Embedding Privacy By Design and Default Codes of Conduct and Certification against standards Breach detection and notification procedures Review of third-party agreements, contracts

This comprehensive course covers all Scrum principles and frameworks necessary to help participants understand how to guide a team and manage projects in a fast-paced agile environment. The course is meant for professionals who want to attain the certification of Scrum Master with deep insight into how AI can be utilized in increasing the effectiveness of agile practices. In addition to mastery of the core Scrum methodology, participants will be taken through state-of-the-art advancements in AI and machine learning in order to understand how these technologies can automate routine tasks, enhance decision-making, and continuous improvement. Real-world case studies and hands-on exercises will illustrate how to practically apply AI within Scrum to realize high efficiency and innovation for teams. Whether for enhancing one's career as a Scrum Master or the integration of AI into Agile practices, this course provides that ideal combination of conceptual theory and practical skills, assuring success in today's technology-driven world. Key Highlights: Certified Scrum Master training with AI applications Case studies in the real world about integrating AI in Scrum Hands-on projects to implement AI-driven tools and methodologies Workflow optimization techniques that ensure better collaboration of agile teams, with speeding up project delivery by the power of AI. Ideal for Scrum Masters, Agile Coaches, Product Owners, and tech pros looking to stay ahead.

A professional for direct customer support within all sectors and organisation types.

Duration 3 Days 18 CPD hours This course is intended for Team leaders, managers, executives, and other business and IT professionals who lead others as well as Individual contributors ready for transformational self-development as a leader. Overview Recognize vulnerability as the emotion we feel during times of uncertainty, risk, and emotional exposure. Explain why courage requires vulnerability. Establish a link between what I learned and behaviors I want to change. Recognize the critical role that self-awareness plays in daring leadership. Give examples to support how armor - not fear -is the greatest obstacle to daring leadership. Identify the four skill sets that make up courage: rumbling with vulnerability, living into our values, BRAVING trust, and learning to rise. Recognize that courage is a collection of four skill sets that are measurable, observable, and teachable. Recognize that vulnerability is the birthplace of many of the behaviors that define daring leadership, including creativity, accountability, and difficult conversations. Give examples of why daring leadership requires showing up for hard conversations and rumbles, including giving and receiving feedback. This workshop is all about your own leadership self-awareness, identifying your call to courage as a leader and the learning, practice and integration of the four courage skills sets so you can show up authentically in life and leadership. Dare to Lead? is the ultimate playbook for developing brave leaders and courageous cultures. The greatest barrier to daring leadership is not fear; the greatest obstacle is armor ? how we self-protect when we feel uncertainty, risk and emotional exposure. Learn the skills to move from armored leadership to daring leadership. Daring leaders are self-aware, know how to have hard conversations, hold themselves and others accountable, build trust, lead with empathy and connection, take smart risks that lead to innovation, reset quickly after disappointments and setbacks, and give and receive feedback. This interactive curriculum is delivered in five, half-day sessions and is based on the research by Bren‚ Brown. This course comes with a PDF workbook and an Amazon gift card to purchase the Dare to Lead? book in the version of your choice. You also have access to a series of leadership and personal development assessments and exclusive training videos led by Dr. Bren‚ Brown. At the end of the event, a digital badge is awarded to those who complete 24 hours of course content. The Heart of Daring Leadership Permission Slips Container Building Armored Leadership versus Daring Leadership Call to Courage Assembling Our Armor Building Grounded Confidence to Replace our Armor Aplying the 5Cs Self-Awareness & Emotional Literacy Developing Emotional Literacy Getting Curious About Emotions Exploring the Iceberg The Myths of Vulnerability Rumbling with Vulnerability The Six Myths of Vulnerability Exploring Your Arena Shame Resilience Shame 101 Defining Shame The Physiology of Shame Shame Shields How Shame Shows Up in Organizations How Shame Shows up at Work Empathy and Self-Compassion Attributes of Empathy What Does Empathy Look Like? Empathy Misses Comparative Suffering Self-Compassion Talk to Yourself the Way You Talk to Someone You Love Empathy & Self-Compassion Commitment Supplemental Exercise: Kristin Neff?s Self-Compassion Scale Supplemental Exercise: Putting Empathy, Curiosity, and Rumble Tools in Action Living Into Our Values Living Into Our Values Values Clarification Taking Values from Professing Words to Practicing Behaviors Grounded Confidence and Rumbling Skills Grounded Confidence and Rumbling Skills Rumble Starters The 5Cs of Strategic Thinking, Decision Making, and Delegation Using the 5Cs Supplemental Exercise ? Gritty Faith & Gritty Facts Supplemental Exercise ? Horizon Conflict Engaged Feedback Giving Engaged Feedback Recognizing Defensiveness in Feedback Conversations BRAVING Trust BRAVING Trust Square Squad Rumbling with Self-Trust Trust with Others Trust on Teams Rumbling with Living BIG Learning to Rise: The Reckoning Learning to Rise: The Rising Strong Process The Rising Strong Process Getting Emotionally Hooked Offloading Hurt: Barriers to Reckoning with Emotion Strategies for Reckoning with Emotion The Rumble and The Revolution Writing My SFD The Delta The Revolution: When the Process Becomes a Daily Practice Supplemental Exercise ? Reset and Resilience Practices Integration Dare to Lead Integration Plan