Professional Development Courses

An updated analytics course for technical leaders, focused on practical tools, Excel-based analysis, and data-driven decision-making.

Hands-on supply chain analytics course focused on applying advanced data methods to real operations challenges, improving forecasting, planning, and decision-making.

Learn to turn raw data into clear, interactive Tableau dashboards. Gain hands-on skills in data prep and visualization for effective engineering decisions.

Unlock the power of data to drive smarter decisions in engineering and industry. This hands-on course introduces engineers and technical professionals to the tools and methods needed to turn raw data into actionable insights. Using Python, participants will master data preparation, visualization, and advanced analytics techniques such as classification, clustering, and pattern mining. Building on this foundation, the course explores predictive modeling, anomaly detection, deep learning, failureevent modeling, and time series forecasting.  Designed with real-world applications in mind, the course emphasizes solving practical challenges in manufacturing, reliability, and quality control. Through interactive exercises and guided examples,participants will gain not only technical proficiency but also the confidence to apply analytics for improved performance, efficiency, and innovation in their organizations.

Unlock the power of statistically designed experiments to identify key process variables, reduce variation, and optimize performance. This self-paced course introduces factorial and fractional factorial designs, equipping participants with practical tools to drive quality improvement in industrial settings.

Advance your skills in Design of Experiments (DOE) by learning how to apply full and fractional factorial designs using Minitab. This hands-on course empowers engineers to optimize processes and make data-driven decisions through structured experimentation.