Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out.

While many scrambled to get in on the Big Data revolution, the old adage, GIGO, garbage in garbage out, was ignored. With all the new technology tools to process, mine, and analyze the ever ...

Data Democratization One of the most important trends will be the continued empowerment of entire workforces – rather than data engineers and data scientists – to put analytics to work.

The explosive growth of big data analytics will help businesses generate industry-leading personalized experiences through the next 5 years.

Unfortunately, during the pandemic, fully 80% of national statistics offices in lower- to middle-income countries indicated they needed additional support to perform important data collection and ...

The Master of Science in Data Science at CU Boulder is a STEM-designated, interdisciplinary program that provides students with rigorous training in machine learning, AI tools, data analytics, big ...

The Engineering Science MS with a course focus in Data Science offers students a comprehensive education in big data and analysis. Students gain knowledge, expertise, and practical training in various ...

The Computational and Data Enabled Sciences PhD addresses pressing research challenges across various fields, such as materials modeling and design, natural disasters, smart electric grids, and ...