Take things a step further and improve your knowledge of some of the more niche Excel techniques to help manage your data
In today's dynamic business environment, Managers need to evaluate different courses of action and make decisive decisions.
Learn Angelic Reiki with multi-award winning Master Teacher, Jayn Lee-Miller, who was one of the first to work professionally with angels and is now approaching her 18th year of teaching Angelic Reiki. Please email info@healingangels.co.uk for full details of this healing module which has been channelled through the Archangel Metatron especially for this time as the consciousness of humanity is collectively ascending to fifth dimension. The Angelic Kingdom of Light is assisting in helping us hold a place of unconditional love to help us remember the divine beings we truly are. In Angelic Reiki you are attuned by Angels to The Angelic Kingdom of Light and during healing exchanges you actually become the Angel you are channelling.
Data-Informed Decision Making in Projects: On-Demand Project management professionals constantly need to make project decisions that could be decisive for the outcome of their projects but often do not have sufficient information available to confidently make decisions. As a result, projects are increasingly falling short of delivering on their promises, requiring, more than ever, a data-informed approach to decision-making in the area of project delivery and management. The rapid growth of data comes with various challenges though, which consequently needs consideration of various critical factors for a successful implementation of a data-informed decision-making process in organizations and projects. What You Will Learn At the end of this program, you will be able to: Describe and understand the relevant methods and techniques to identify, acquire, and analyze relevant data points for decision making in projects Articulate analytical questions to focus on the real problems Identify potential shortfalls and gaps in project decision-making and apply actions to mitigate them Introduction to Data-Informed Decision Making The different types of decisions in projects Data-informed decision-making framework Shortcomings with traditional decision-making models Understanding the value of data for project delivery Issues in project management and how data can help solve them The DIKW Pyramid (Data, information, knowledge, wisdom) Types of data in projects Applying Data Analytics Understanding Data Analytics Levels of Data Analytics Data-Informed vs. Data-Driven Challenges and How to Address Them Project data availability and collection Data quality Behavioral blockers and bias Skills and Techniques Data literacy and data fluency Communicating for informed decision-making Monitoring and evaluating project decisions Implementing Data-Informed Decision Making Decision-making strategy and governance Project data culture Continuously improving decision quality Future Outlook for Decision-Making in Projects Data and AI Digital Decisioning
Data-Informed Decision Making in Projects: On-Demand Project management professionals constantly need to make project decisions that could be decisive for the outcome of their projects but often do not have sufficient information available to confidently make decisions. As a result, projects are increasingly falling short of delivering on their promises, requiring, more than ever, a data-informed approach to decision-making in the area of project delivery and management. The rapid growth of data comes with various challenges though, which consequently needs consideration of various critical factors for a successful implementation of a data-informed decision-making process in organizations and projects. What You Will Learn At the end of this program, you will be able to: Describe and understand the relevant methods and techniques to identify, acquire, and analyze relevant data points for decision making in projects Articulate analytical questions to focus on the real problems Identify potential shortfalls and gaps in project decision-making and apply actions to mitigate them Introduction to Data-Informed Decision Making The different types of decisions in projects Data-informed decision-making framework Shortcomings with traditional decision-making models Understanding the value of data for project delivery Issues in project management and how data can help solve them The DIKW Pyramid (Data, information, knowledge, wisdom) Types of data in projects Applying Data Analytics Understanding Data Analytics Levels of Data Analytics Data-Informed vs. Data-Driven Challenges and How to Address Them Project data availability and collection Data quality Behavioral blockers and bias Skills and Techniques Data literacy and data fluency Communicating for informed decision-making Monitoring and evaluating project decisions Implementing Data-Informed Decision Making Decision-making strategy and governance Project data culture Continuously improving decision quality Future Outlook for Decision-Making in Projects Data and AI Digital Decisioning
Integrating Design Thinking, Lean and Agile: On-Demand This program provides an overview of Design Thinking, Lean Startup and Agile methods and illustrates how each should be applied and integrated into the journey of an idea all the way to business value realization. Developing an innovative idea into a stage of business value realization is a long and tedious journey; it involves different types of thinking and working at different stages of the life of the idea. Broadly speaking, this journey can be classified into 3 stages: deep understanding of user needs and innovating solutions; experimenting with a solution concept through prototyping and validating; and implementing the solution prototype into a commercial solution. Design Thinking, Lean Startup and Agile methods fit perfectly into these 3 stages. This program provides an overview of each of these methods and illustrates how each should be applied and integrated into the journey of an idea all the way to business value realization. What You Will Learn At the end of this program, you will be able to: Identify the end-to-end scenario of driving a business through innovation and when each method among Design Thinking, Lean and Agile would be appropriate. Gain an overview of Design Thinking, Lean startup and Agile methods, tools and techniques. Recognize the difference in mindset and focus for each method and shift the mindset based on the stage of the project. Define the process integration points for the three methodologies. Need for Integrating Design Thinking, Lean and Agile The importance of innovation and design thinking Design thinking processes Agile Overview of Design Thinking Design Thinking overview 5 phases of Design Thinking Overview of Lean Introduction to lean Defining value in innovative endeavors Overview of Agile Agile Manifesto Lean and Disciplined Agile Integrating Design Thinking, Lean and Agile Goal of each of the three stages of the business endeavor Mindset and focus needed in the three stages Process integration points for Design Thinking, Lean and Agile Scaling the Integration to Achieve Business Agility Scaling the integration of Design Thinking, Lean Startup and Agile How Scaled Agile Framework (SAFe) achieves integration
Project White Belt® 2013 - Getting Started with Microsoft® Project 2013: On-Demand This workshop serves as an introduction to the interface and features of Microsoft® Project 2013. It is kept up to date with the framework outlined by Project Management Institute's A Guide to the Project Management Body of Knowledge (PMBOK® Guide). This course will be led by an IIL-certified instructor who will outline the benefits of Microsoft Project, provide tips on using various features and common shortcuts, recommend guidelines, and discuss the application of scheduling concepts to manage project work. What You Will Learn You'll learn how to: Define key scheduling concepts and terms Effectively navigate the user interface and interpret common views Configure essential elements of a new schedule Enter and modify a task list Set dependencies between tasks Create a basic resource list and generate assignments Format targeted areas of the Gantt Chart view Prepare the schedule for printing Getting Started Introductions Course objectives Course outline Navigating the User Interface and Views Navigate and use the Ribbon Use and customize the Quick Access Toolbar Modify general and display options Become familiar with major elements on the Project screen Navigate Gantt Chart, calendar, and network diagram views Search for a help topic Setting up a New Schedule Create new schedules Create a new schedule using existing information Enter and modify the schedule start date Enter and modify exception days in the calendar Entering, Modifying, and Outlining Task Data Enter, edit, correct, and clear information Enter unscheduled tasks Enter duration estimates for a single task or multiple tasks Organize tasks Set up a multi-level outline Add notes to tasks Creating Dependencies by Setting Links Identify a critical path in a simple schedule Understand how scheduling software calculates a critical path Describe dynamic schedules and dependencies Create links using various methods Display the critical path Entering and Assigning Resources Plan for resources Create a list of available resources Assign resources Formatting Gantt Chart View Format text and Gantt Chart bars Format a collection of items Configure print options
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