Data Analytics for Project Management
This 2-day course teaches project managers how to use data analytics tools like Power BI and Excel to improve decision-making, forecast risks, and track project performance. Participants gain hands-on skills in building dashboards, applying predictive analytics, and communicating insights for better project outcomes.
Description
This 2-day course provides practical skills in using data analytics for project management, focusing on data-driven decision-making. Designed for project managers and analysts, it equips participants with tools to optimize project performance using analytics.
Data analytics is transforming project management by enabling data-driven decisions that enhance efficiency and outcomes. Data Analytics for Project Management is a 2-day course designed to equip professionals with the skills to apply analytics in project planning, monitoring, and optimization. The course covers data collection, visualization, predictive analytics, and performance metrics, tailored to engineering, construction, and technical projects.
Participants will learn to collect and analyse project data, such as schedules, costs, and risks, using tools like Microsoft Power BI and Excel. The course addresses challenges like data quality, interpretation, and stakeholder communication, providing strategies to create actionable insights. It explores predictive analytics for forecasting delays and cost overruns, as well as key performance indicators (KPIs) for tracking progress.
This course is ideal for professionals seeking to improve project outcomes, enhance reporting, and leverage data for strategic advantage.
By the end, attendees will be equipped to use data analytics to monitor projects, predict risks, and communicate insights, driving better project performance and stakeholder satisfaction.
Course Outline
Day 1: Data Collection and Visualization
- Introduction to data analytics in project management.
- Collecting and cleaning project data.
- Data visualization with Power BI and Excel.
- Exercise: Building a project dashboard.
Day 2: Predictive Analytics and Optimization
- Predictive analytics for risk and schedule forecasting.
- Developing KPIs for project performance.
- Communicating insights to stakeholders.
- Case study: Using analytics to optimize a project.
Who Should Attend?
- Project managers, planners, and analysts.
- Engineers and construction professionals using data.
- Professionals seeking to enhance project monitoring.
- Individuals aiming to leverage analytics for project success.
Key Learning Outcomes
- Collect and analyse project data for decision-making.
- Use analytics tools like Power BI and Excel for visualization.
- Apply predictive analytics to forecast project risks.
- Develop KPIs and dashboards for project monitoring.
- Communicate data-driven insights to stakeholders.
- Optimize project performance through analytics.