6 Courses in Belfast delivered On Demand

Perhaps you are working on a digital transformation project or AI and whenever this phrase pops up you’re not clear what it means for you. How do you know if you are data literate? Who in your organisation needs to be data literate? Why does it matter? Get up to speed with this 90 minute introductory training which focuses on the key principles of data literacy so you can apply them in your day to day work.

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

Unlock the world of knowledge with our Library & Information Science Course. Master the art and science of information, from traditional library practices to cutting-edge data management. Explore digital libraries, information policy, and the evolving role of information professionals. Enroll now for a comprehensive journey in information science, preparing for a dynamic career in the ever-evolving field of libraries and information management.

Thinking about learning more understanding the role of data within an organisation? As data becomes an important currency in the world and an enabler for the future, it is imperative that all organisations have a firm understanding of the data available to them and the power it can hold. The BCS Foundation Award in Understanding Data in your Organisation teaches the the terminology, principles, concepts and approaches used within data management, and the overall value of data to an organisation.

The Data Science: Data Analyst Mini Bundle is made for those who prefer evidence over guesswork. With key topics including Data Analysis, SQL, Python, Project Management, and MS Excel, this collection gives you a balanced mix of logic, organisation, and data literacy—all without trying to teach you twenty things at once. Whether you're managing a project or wrangling a CSV file, this course bundle is your sensible step toward making decisions based on something more reliable than a hunch. It’s suitable for career starters, team members, or those just trying to figure out what on earth a pivot table actually does. Learning Outcomes: Understand how to analyse and interpret structured data sets. Use SQL for database queries and data manipulation tasks. Write Python code to simplify and clean large datasets. Work efficiently with Excel for data calculation and graphs. Apply data knowledge in structured project workflows. Improve confidence in working with numbers and logic. Who Is This Course For: Aspiring analysts looking for a strong entry-level foundation. Team members working with spreadsheets and basic datasets. Managers wanting to understand what the analysts are saying. Graduates targeting data-related office positions. Freelancers exploring tech-focused client projects. Job seekers needing stronger data confidence and skill sets. People who enjoy patterns, statistics, or tidy spreadsheets. Anyone who’s been told to “check the numbers” again. Career Path: Junior Data Analyst – £30,000/year Python Programmer – £40,000/year SQL Data Developer – £42,000/year Project Analyst – £35,000/year Excel Data Specialist – £32,000/year Data Administrator – £34,000/year