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

With data science projects, there can be a temptation to overinvest and make sweeping changes. ... These are examples of important projects that don’t require an overhaul of existing systems.

“Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by Ellen Houston, managing director of ...

“Data science projects fail when people don’t trust the model or understand the solution,” says Jack McCarthy, ... An example of this is the risk assessment algorithm used in New Jersey.

For example, one of his company’s early data science projects created size profiles, which could determine the range of sizes and distribution necessary to meet demand.

Chief Data Scientist at Reorg, a global provider of credit intelligence, data and analytics, and Adjunct at UVA’s School of Data Science. Text data is one of the largest forms of unstructured ...

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.

The team is the most important element in successful data science for SEO. Here are 3 main types of teams and how they work.

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.

For example, there could be an ... The essential prerequisite of entering a data science project is that we should be able to convert the business problem statement into an analytics problem ...