Data analysts have to use Excel and Google Sheets more or less on a daily basis in their work. Although these spreadsheet tools are often overshadowed by programming languages, the ability to analyze, ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain ...

Overview Curated list highlights seven impactful books covering fundamentals, tools, machine learning, visualization, and ...

Abstract: In the process of data exchange, we assert that the needs of data users should be prioritized and clearly articulated for a trustworthy data marketplace. Here, we present a case study on ...

Skills in Python, SQL, Hadoop, and Spark help with collecting, managing, and analyzing large volumes of data. Using ...

Abstract: The increasing penetration of distributed energy resources (DERs) adds variability as well as fast control capabilities to power networks. Dispatching the DERs based on local information to ...