12906 Business courses

Duration 3 Days 18 CPD hours This course is intended for This course is designed for project leaders, scrum masters, coaches, product owners, and team members who intend on taking the PMI-ACP© exam. Overview Upon successful completion of this course, you will know: ? Agile principles and practices that will enhance team productivity and improve customer satisfaction ? How to create transparent communication among stakeholders ? How to manage project's scope, schedule and budget in an Agile environment ? How to maximize business value and deliver most value early in the project ? How to build high-performing team ? How to plan at multiple levels and manage stakeholders' expectations ? How to detect, track and resolve risks in an Agile project This course provides participants with a solid foundation of the PMI-ACP© exam. Participants will be introduced to PMI Agile concepts and practices. Introduction to the PMI-ACP© Course and ExamAgile Principles and Mindset Agile project Management Framework: ? What is Agility ? Agile Manifesto ? Agile Principles ? Agile Methodologies: Scrum, Kanban, Extreme programming (XP), Lean ? Agile leadership ? Agile process overview Value-Driven Delivery What is Value-driven delivery, how to deliver value early and minimize waste Assessing Value - Return on Investment (ROI), net present value (NPV), Internal rate of return (IRR), earned value management, managing risk Value Based prioritization ? Customer-Valued prioritization, prioritization schemes (Kano analysis, MoSCoW, relative prioritization / ranking Delivering incrementally ? Minimal Viable Product (MVP), Minimal marketable Feature (MMF), Work In progress (WIP), WIP Limits, Bottlenecks, Cumulative Flow Diagram (CFD) Contracting in Agile projects Verification and validation Stakeholder Engagement Identifying project stakeholders Managing stakeholder engagement Establishing a shared vision ? Agile chartering, Definition of 'Done' (DoD), Agile modelling, wireframes, personas Communication Management ? face to face communication, two-way communication, knowledge sharing, information radiators, social media Working collaboratively ? workshops, brainstorming, collaboration games Interpersonal skills for Agile success ? emotional intelligence, active listening, facilitation, negotiation, conflict resolution, participatory decision making Team Performance Agile team roles High-performing Agile teams ? stages of team development Adaptive leadership Creating collaborative team spaces ? co-located teams, osmotic communication, distributed teams Tracking team performance in Agile teams ? burn charts, velocity Adaptive Planning Defining adaptive planning Principles of Agile planning Tools for sizing and estimating Releases and Iterations planning Problem Detection ?nd Resolution How problems impact a project Detecting problems ? lead time and cycle time, defects, variance analysis, trend analysis, control limits Managing projects threats and issues ? risk-adjusted backlog, risk severity, risk burndown graphs Solving problems Continuous Improvement Multiple levels of improvement ? processes, product, people Implementing continuous process improvement ? process tailoring, systems thinking, process analysis, value stream mapping, project pre-mortems Working towards continuous product improvement ? product feedback loops and learning cycle Leading continuous people improvement ? retrospectives, team self-assessments PMI-ACP© Exam Preparation PMI-ACP© Exam Particulars Overview PMI-ACP© Exam Particulars PMI-ACP© Candidate Requirements PMI-ACP© Candidate Fees PMI-ACP© Exam Application Process

Duration 3 Days 18 CPD hours This course is intended for This course is designed for anyone currently working on Agile-based projects or having experience with other forms of project management experience and want to add Agile PM skills and knowledge to their portfolio. Anyone with any experience in project-based work, either from the customer or supplier side can benefit from this course, including but not limited to: project manager, team leaders and managers or project employees. Overview AgilePM ™ certification is the result of collaboration between APMG-International and the DSDM Consortium. DSDM (Dynamic Systems Development Method) is the longest existing Agile method and the only Agile method aimed at managing Agile projects. It Has evolved over the years into a Project Framework, and AgilePM is a subset tailored to the Agile project manager. Students will be explained how the model is set up, how the different project activities and project roles are connected and how AgilePM handles project management. This course provides preparation for the Foundation exam of APMG. Training Day 1 - AgilePM Foundation Topics What is Agile? Choosing an appropriate Agile approach philosophy, principles and project variables preparing for success The DSDM Process Training Day 2 - AgilePM Foundation Topics The People ? DSDM Roles and Responsibilities The DSDM Products Key practices ? prioritization and timeboxes Training Day 3 - AgilePM Foundation Topics Planning and control throughout the lifecycle Other practices: facilitated workshops, modeling and iterative development

Duration 2 Days 12 CPD hours This course is intended for This course is designed for individuals in a variety of job roles whose primary responsibility is not project management, but who manage projects on an informal basis; who contribute as members of a project team; or who wish to incorporate project management practices into their personal work. It is also beneficial for anyone who is considering a career path in project management and desiring a complete overview of the field and its generally accepted practices. Overview In this course, you will identify the elements of sound project management and apply the generally recognized project management practices to successfully manage or participate in projects. You will: Identify the key processes and requirements of project management. Initiate a project. Use a Predictive approach to plan for time and cost. Use an Adaptive approach to plan a project. Plan for project risks, communication, and change control. Manage the execution of a project. Close a project. This course teaches the fundamentals of project management and its underlying structure and elements, including project phases, project life cycles, stakeholders, and areas of expertise. These, coupled with the ability to identify the project management processes that are recognized industry wide as good practice, will help you to apply effective project management techniques to improve the efficiency of your projects and ensure their success. This course is designed to cover various project management approaches and is not intended to focus on a single methodology or framework. Lesson 1: Getting Started with Project Management Topic A: Identify the Characteristics of a Project Topic B: Identify the Project Approach Topic C: Identify the Leadership Roles in a Project Lesson 2: Initiating a Project Topic A: Create a Project Scope/Vision Statement Topic B: Identify the Essential Skills for a Project Team Topic C: Identify the Risks to a Project Lesson 3: Planning for Time and Cost in Predictive Projects Topic A: Create a WBS Topic B: Create a Project Schedule Topic C: Determine Project Costs Lesson 4: Planning for Adaptive Projects Topic A: Create Epics and User Stories Topic B: Build a Product Backlog Topic C: Create an Initial Release Plan Topic D: Conduct a Sprint Planning Meeting Topic E: Replan the Project Lesson 5: Planning for Project Risks, Communication, and Change Control Topic A: Analyze the Risks to a Project Topic B: Create a Communication Plan Topic C: Develop a Change Control Plan Lesson 6: Managing a Project Topic A: Begin Project Work Topic B: Execute the Project Plan Topic C: Track the Progress of an Adaptive Project Topic D: Report Project Performance Topic E: Implement Change Control Lesson 7: Closing a Project Topic A: Close a Sprint, a Release, or an Adaptive Project Topic B: Close a Predictive Project Topic C: Create a Final Report

Duration 4 Days 24 CPD hours This course is intended for This course is for people who have on the job experience doing project management activities and running projects, regardless of their job title. It is for those who wish to become certified project managers, or those that want to build or reinforce a foundation in project management. This course is ideal for a person who wants to grow and formalize their project management skills on an industry neutral, global standard, the Project Management Institute. Overview After completing this course, students will be able to: Demonstrate an understanding of the various project life cycles and processes. Distinguish between predictive and adaptive approaches. Demonstrate an understanding of project management planning. Demonstrate an understanding of project roles and responsibilities. Explain the importance of the role the project manager plays. Determine how to follow and execute and respond to planned strategies or frameworks (e.g., communication, risks, etc.). Demonstrate an understanding of common problem-solving tools and techniques. Identify the suitability of a predictive, plan-based approach for the organizational structure (e.g., virtual, colocation, matrix structure, hierarchical, etc.). Determine and give examples of the activities within each process. Demonstrate an understanding of a project management plan schedule. Determine how to document project controls of predictive, plan-based projects. Explain when it is appropriate and sustainable to use an adaptive approach for the organizational structure. Compare the pros and cons of adaptive and predictive, plan-based projects. Identify the suitability of adaptive approaches for the organizational structure (e.g., virtual, colocation, matrix structure, hierarchical, etc.). Identify organizational process assets and environmental factors that facilitate the use of adaptive approaches. Determine how to plan project iterations. Determine how to document project controls for an adaptive project. Distinguish between the components of different adaptive methodologies (e.g., Scrum, Extreme Programming (XP), Scaled Adaptive Framework (SAFe), Kanban, etc.). Determine how to prepare and execute task management steps. Demonstrate an understanding of business analysis (BA) roles and responsibilities. Demonstrate the importance of communication for a business analyst between various teams and stakeholders. Determine how to gather requirements and using the best approach for a situation. Explain the application of a product roadmap. Determine how project methodologies influence business analysis processes. Validate requirements through product delivery. Every career in project management has a beginning and that is the purpose of this course. You will learn the fundamentals of project management. This includes project performance, when to use the predictive or adaptive methodologies, business analysis domains, and frameworks, as well as the proper use of one of the various adaptive frameworks. Every career in project management has a beginning and that is the purpose of this course. You will learn the fundamentals of project management. This includes project performance, when to use the predictive or adaptive methodologies, business analysis domains, and frameworks, as well as the proper use of one of the various adaptive frameworks.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for project leaders, scrum masters, coaches, product owners, and team members who intend on taking the PMI-ACP© exam. This course provides participants with a foundation of the PMI-ACP© exam. Participants will be introduced to PMI Agile concepts and practices with banks of sample questions. PMI-ACP© Exam Preperation PMI-ACP© Exam Particulars Overview PMI-ACP© Exam Particulars PMI-ACP© Candidate Requirements PMI-ACP© Candidate Fees PMI-ACP© Exam Application Process Core Agile Concepts Core Agile Concepts Overview Traditional Project Management Methodologies Drawbacks of Waterfall Methodologies Agile Approach Empirical Process Control Agile and Traditional Project Management Choice of Methodologies/Frameworks The Agile Manifesto The Agile Manifesto Overview Manifesto Contributors Manifesto Values Manifesto Principles Common Agile Methodology Elements Common Agile Methodology Elements Overview Project (Product; Release) Initiation Agile Planning Iteration Planning and Executing Project Initiation Project Initiation Overview Determine Project Justifications and Metrics Provide Value-Driven Delivery Write Project Vision Statement Create Project Charter Identify Stakeholders and Leader/Coach Form Project Team Agile Teams and Team Space Agile Teams and Team Space Overview Scrum Master/Coach Product Owner/Customer Team Members/Developers (XP) Trackers and Testers Other Roles Team Space Physical Space Recommendations Agile Planning Agile Planning Overview Develop Epics and Stories Create Stories Non-Customer Facing Stories Personas and Extreme Personas Story Maps Estimating Stories Prioritizing Stories Create Product Backlog Create Product Roadmap Conduct Release Planning Create Parking Lot Iterations/Sprints Iterations/Sprints Overview Velocity Determination Iteration Planning Meeting Iteration Planning Guidelines Development Testing Daily Standup Meetings Progress Tracking Velocity Tracking Interpersonal Aspects of Agile Interpersonal Aspects of Agile Overview Methodologies and Uncertainty Coach/Scrum Master Team Motivation Soft Skills Emotional Intelligence Collaboration Negotiations Active listening Conflict Resolution Speed Leas? Model of Group Conflict Conducting Retrospectives Mindsets of Agile Coaches Leadership Stages Key Coaching Responsibilities Agile Methodologies Agile Methodologies Overview XP and Scrum Terms XP Terms and Concepts XP Primary Practices XP Corollary Practices Scrum Lean Software Development Seven Principles of Lean Seven Types of Muda Responsibilities Core Beliefs of Lean-Agile Software Development Other Principles of Lean-Agile Software Development Value Stream Mapping Lean-Agile Software Development Portfolio Management Additional course details: Nexus Humans PMI Agile Certified Practitioner (PMI-ACP) Exam Preparation training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the PMI Agile Certified Practitioner (PMI-ACP) Exam Preparation course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for Database Administrators, Database Developers, BI professionals, and Business reporting users. Overview Upon successful completion of this course, students will be able to run Queries and retrieve results, perform conditional searches, and retrieve data from multiple tables. Before starting this course, make sure you meet at least one of the following prerequisites: Basic knowledge of the Microsoft Windows operating system and its core functionality. Basic working knowledge of Relational Databases. In this course, students will gain a good understanding of the Transact-SQL language. They will be able to create queries, sort, filter the data, execute procedures with T-SQL. Course Outline 1.Introduction to Microsoft SQL Server 2.Introduction to T-SQL Querying 3.Writing SELECT Queries 4.Querying Multiple Tables 5.Sorting and Filtering Data 6.Working with SQL Server Data Types 7.Using DML to Modify Data 8.Using Built-In Functions 9.Grouping and Aggregating Data 10.Using Subqueries 11.Using Table Expressions 12.Using Set Operators 13.Using Windows Ranking, Offset, and Aggregate Functions 14.Pivoting and Grouping Sets 15.Executing Stored Procedures 16.Programming with T-SQL

Duration 2 Days 12 CPD hours This course is intended for This course is aimed at anyone currently working with data who is interested in using data visualisation to more effectively communicate their results. Overview At completion, delegates will understand how data visualisations can be best used to communicate actionable insights from data and be competent with the tools required to do it. Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data. Course Outline The use of analytics, statistics and data science in business has grown massively in recent years. Harnessing the power of data is opening actionable insights in diverse industries from banking to horse breeding. The companies doing this most successfully understand that using sophisticated analytics approaches to unlock insights from data is only half the job. Communicating these insights to all of the different parts of an organisation is just as important as doing the actual analysis. Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data. To attend this course delegates should be competent in the use of data analysis tools such as reporting tools, spreadsheet software or business intelligence tools. The course will explore the following topics through a series of interactive workshop sessions: Fundamentals of data visualisation Data characteristics & dimensions Mapping visual encodings to data dimensions Colour theory Graphical perception & communication Interaction design Visualisation different characteristics of data: trends, comparisons, correlations, maps, networks, hierarchies, text Designing effective dashboards

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice

Calling all aspiring screenwriters and creative minds! Join us for an exciting script pitching workshop led by tutor Gemma Mushington. This taster session is designed to unleash your imagination and guide you through the process of coming up with and pitching an original script idea. Gemma Mushington, a talented screenwriter with a BA in Film, Television, and Digital Production, brings her wealth of industry knowledge and experience to this workshop. She is signed with Casarotto Ramsay and was the proud winner of the Neal Street Productions Screenwriting Bursary in 2021. Gemma's impressive credentials also include writing an episode of CBBC's The Dumping Ground, which aired in May 2023. With her current role as our Module Leader for the Major Feature Film module on the BA Screenwriting course, Gemma is the perfect guide to help you develop your script ideas. During this engaging taster session, Gemma will lead you through an exercise focused on generating and refining your own original script idea. Learn the techniques and strategies used by professional screenwriters to create compelling narratives that captivate audiences. Gain valuable insights into the art of pitching as Gemma shares her expertise on how to effectively communicate your ideas and grab the attention of industry professionals. Whether you are a screenwriting student, a budding storyteller, or simply someone with a passion for creative writing, this workshop is a fantastic opportunity to explore the exciting world of script development. No prior experience is necessary, as Gemma will provide guidance and support throughout the session. Don't miss out on this chance to refine your scriptwriting skills and pitch your ideas with confidence. Reserve your spot now and prepare to unleash your creative potential with the guidance of tutor Gemma Mushington!

An insightful, enjoyable and experiential programme to help you analyse data and information and make a balanced decision based upon sound commercial reasoning. It will enable you to identify options, make decisions and take actions based on a thorough analysis combined with instinct and intuition to make a positive effect on profitability. This programme will help you: Identify ways to analyse data and sort relevant from irrelevant information Develop analytical and numerate thinking, and consider the financial implications of a decision Make decisions based on sound commercial reasoning - a mix of intuition and analysis Select from a range of tools to analyse a situation and apply these effectively Understand how costs and profits are calculated Use tried-and-tested techniques to manage and control your budgets Appreciate the fundamentals of financial analysis Focus on the bottom line Identify the basics of capital investment appraisal for your business Evaluate results and seek opportunities for improvement to your business 1 The commercial environment What do shareholders and investors want? What do managers want? Profit v non-profit organisations Investor expectations 2 Financial and non-financial information Risk and reward considerations Drivers of commercial decisions 3 Running a business A practical exercise to bring financial statements to life Different stakeholder interests in a business The impact and consequences of decisions on financial statements 4 Where do I make a difference to the organisation? How can I contribute to an improved business performance? Key performance indicators - measuring the right things A 'balanced scorecard' approach - it's not all about money! 5 A 'balanced scorecard' approach Analysing and reviewing my contribution to the business direction What is the current focus of my commercial decisions? Developing the business in the right way - getting the balance right! Where should/could it be in the future? Do my decisions support the overall vision and strategy? 6 Making commercial decisions Left-brain and right-brain thinking Convergent and divergent thinking Analysis and instinct Interactive case study exercise - emotional and rational decisions Reflection - what is my style of making decisions 7 Let's consider the customer! Identifying target markets Differentiating propositions and products Customer service considerations Marketing considerations and initiatives Pricing strategies and considerations 8 Strategic analysis The external environment The internal environment LEPEST analysis SWOT analysis Forecasting Group activity - analysing markets and the competition How do these improve your decisions? 9 Comparing performance Analysing key financial ratios Ways to compare performance and results Break-even analysis 10 Profit and loss accounts and budgeting Managing income and expenditure The budgeting process How does this link to the profit and loss account? Managing and controlling a cost centre/budget The role of the finance department Different ways of budgeting Incremental budgeting Zero-based budgeting 11 Understanding the balance sheet Purpose of balance sheets Understanding and navigating the content What does a balance sheet tell you? How do you affect your balance sheet? Links to the profit and loss account A practical team exercise that brings financial statements to life 12 Business decisions exercise How does this improve your decisions? A practical exercise to apply new knowledge and bring commercial thinking to to life The impact and consequences of decisions on financial statements 13 Working capital Why is this important? The importance of keeping cash flowing Business decisions that affect cash Calculating profit 14 Capital investment appraisal Capex v Opex Payback Return on investment The future value of money The concept of hurdle rate 15 Lessons learned and action planning So what? Recap and consolidation of learning The decisions that I need to consider Actions to achieve my plan