Master advanced quantitative project controls to improve project cost management, schedule performance, and forecasting accuracy through data-driven decision-making.
Designed for project managers, cost engineers, planning professionals, and PMO analysts, this course explores integrated project control systems, cost estimation, inflation and escalation analysis, and value engineering. You'll learn Earned Value Management (EVM), Critical Path Method (CPM), performance baselines, and cost variance analysis to evaluate project efficiency. Develop forecasting skills using Cost Performance Index (CPI), Schedule Performance Index (SPI), Estimate at Completion (EAC), To-Complete Performance Index (TCPI), and Earned Schedule techniques. Explore schedule-cost integration, risk-based forecasting, and AI-driven predictive analytics to identify emerging risks, assess performance deviations, and support proactive project decisions. By the end of the course, you'll be able to analyze project performance, interpret quantitative control metrics, evaluate cost and schedule risks, and recommend improvements to forecasting and project controls. What makes this course distinctive is its integrated approach to cost control, performance measurement, advanced forecasting, and AI-driven project analytics, helping you make informed decisions throughout project execution.
