Enhance your skills in energy statistical analysis with our expanded three-day workshop. Dive deep into crucial topics like risk quantification and pricing models using practical exercises in Excel.

Learn how ARIMA models use time series data for accurate short-term forecasting. Discover its pros, cons, and essential tips ...

Aug 25, 2025 How AI tools accelerate discovery and analysis in materials science Artificial intelligence is accelerating material discovery and design by automating analysis, guiding experiments, and ...

Regression is one of the most powerful statistical tools for finding relationships in data. Python makes it easy, and it's much more flexible than a spreadsheet.

Discover how Microsoft's Excel Copilot simplifies data analysis with natural language queries and boosts productivity. Excel’s AI Copilot ...

PPC scripts hit limits. Vibe coding removes the roadblocks. Turn complex seasonal patterns into simple, data-driven planning tools.

This article investigates the problem of modeling regression with labeled and unlabeled data samples commonly found in industrial processes. By incorporating additional information on unlabeled data ...

Traditional industrial soft sensors often treat industrial process data as uniformly distributed or unimodal. However, in reality, due to variations in operating conditions, industrial process data ...

Learn how to create a risk assessment matrix in Excel with this step-by-step guide. Automate, visualize, and simplify risk management with a ...