TabsSummary Course details Course type: Online courseDirector of studies: Jim ReadHome fee: £50Overseas fee: £503 good reasons to study Interactive Learning: Gain hands-on experience in importing, transforming, and visualizing clinical trial data.Actionable Insights: Learn to build ‘live’ dashboards that turn raw data into actionable insights, supporting better decision-making.Stakeholder Engagement: Enhance your ability to create dashboards that effectively engage stakeholders and communicate key findings. IMPORTANT INFORMATION. Please note that this course is fully asynchronous and applications are always open. However, applications will be processed on a monthly basis. Prospective participants who complete their application by the 25th day in each month will have access to course content on the first day of the following month and will have to complete their study by the end of that month. To receive a Certificate of Completion, participants are required to complete and upload a practical exercise to reinforce learning and build a functional Power BI dashboard. If unsuccessful, feedback and support will be provided and participants can re-submit their work.This module focuses on importing, transforming, and visualizing clinical trial data. Participants learn to build interactive, ‘live’ dashboards that turn raw data into actionable insights, supporting better decision-making and stakeholder engagement. Teaching approaches Guided Step-by-Step Modules: Delivered through our Virtual Learning Environment, each lesson walks participants through key tasks with clear, structured instructions. Hands-On Practical Exercises: Learners apply concepts directly by working with real data and building functional dashboards. Self-Paced Learning: Participants can complete exercises at their own pace, allowing flexibility while reinforcing understanding. Golden File Comparison: A completed ‘Gold Standard’ dashboard is provided for learners to compare their work and self-assess progress. File Submission for Review: A method is provided for participants to return their completed dashboards for feedback and review. Course Content 1. Introduction 2. SQL Server Setup and SMSS Installation 3. Power BI Gateway 4. Power BI Basics Training 5. Single Table Auto Filtering 6. Table Display 7. Patient Details 8. Publication 9. Summary Course tutors Jim Read - Liverpool School of Tropical Medicine Jim Read leads a team of data management professionals at the Liverpool School of Tropical Medicine, specializing in clinical trials data, software development, and system administration. With over a decade of experience, Jim has implemented data warehousing, reporting tools, and document management software. They have a strong background in full stack development and big data, enhancing efficiency in clinical research. Debby Choudhury - Liverpool School of Tropical Medicine Debarpita Choudhury is a Data Manager at the Liverpool School of Tropical Medicine, specializing in clinical trial data integrity and compliance. She has a background in clinical research, public health, and dentistry. Entrance RequirementsAcademic requirements: None. Completion of PowerBI Fundamentals module or other experience / training using Power BI software to produce data presentations.English language requirements: The course is taught in English. Students whose first language is not English must provide evidence of their language skills. A full list is available at English language requirements and English language waiver programme. We are happy to discuss further on an individual basis - contact mylstm@lstmed.ac.uk(link sends e-mail) Other requirements: Technical requirements: Access to a Windows 10/11 computer with Administrator privileges and authority/permission to install software applications. Internet access (suitable for downloading software). AimsThis course aims to: Provide participants with the knowledge and skills required to: • Set up and configure SQL Server and SQL Server Management Studio (SSMS). • Establish a connection between SQL Server and Power BI. • Import and transform clinical or research data for analysis. • Use Power BI Gateway to support automatic data updates. • Apply Power BI techniques to build dynamic, interactive dashboards. • Implement filtering and table display features for clearer insights. • Visualize key data points to support reporting and presentations. • Publish and share dashboards with relevant audiences. 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There are currently no upcoming instances of this course open for application. 3 reads