Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects.

Data science is a method to transform business data into assets that help organizations improve revenue, reduce costs, seize business opportunities, improve customer experience, and more.

Hands-on activities using programming will give students experience with steps of a data science project, including simulating, exploring, visualizing, drawing conclusions with statistics, and ...

The key steps directing the workflow of any data science project are mainly: Collecting a lot of data (for verified sources) Analyzing data and iterating it multiple times to develop a sound ...

Core math topics like linear algebra, statistics, and calculus form the foundation of data science.• Real-world projects and ...

Explore 9 data science project ideas for beginners that can help build practical skills, enhance your portfolio and boost your job prospects.

The need for ethical data scientists in today's society is greater than ever before. The Online Master of Science (M.S.) in Data Science empowers you to apply technical methods and consulting skills ...

Data science plays a critical role in today’s academic landscape, with growing interest from students and professors outside of the traditionally associated fields of mathematics, computer science, ...

The Master of Science in Data Science curriculum consists of a total of 30 credit hours. 18 credit hours can be taken from core courses and 12 credit hours can be taken from selected focus areas or ...

Option 1: A $3,500 philanthropic donation made payable to the University of Colorado Foundation, to provide support to the University of Colorado Boulder Department of Data Science Senior Projects.