Introduces concepts and skills fundamental to Data Science including: getting data, data wrangling, exploratory data analysis, basic statistics, data visualization, data modeling, and learning. The ...

In the rapidly evolving field of data science, the success of a team is not solely determined by its collective technical ...

Learn from elite academics at one of the UK’s top 10 universities for maths, statistics and computer science (Times Higher Education 2024). Understand the breadth of what’s possible with data ...

Learn how dataframes have become a staple element in data science libraries and frameworks, and why developers love them.

You can specialise either in the core areas of data science -- machine learning and artificial intelligence algorithms, data engineering and statistics -- or in its applications. This means that you ...

A statistics major prepares students to use data to confront real-world problems. Statistics is relevant to topics ranging from disease prevention to storm prediction, and learning how to collect ...

In a paper published in Science Bulletin, Professor Xin Li and Dr. Yanlong Guo from the Institute of Tibetan Plateau Research ...

A series of hands-on teaching modules created and shared by Virginia Tech researchers has filled a gap in data science ...

Who is the Master's in Data Science for? Drexel’s College of Computing & Informatics' Master of Science in Data Science (MSDS) is designed for students with or without a bachelor’s degree in Data ...

He received his Ph.D. in Mathematical Statistics from Bowling Green State University (1977-1981) and BS in Applied Math from Soochow University in Taipei (1969-1973). Gang Shao is an assistant ...

Dr. Kristen Gore specializes in data science and statistics with extensive experience in both academia and industry. She is passionate about engaging students in real-world STEM applications through ...

Data Science is the most popular minor at William & Mary, giving you the chance to expose yourself to many of the programming and statistical tools used to analyze large, unique or rapidly evolving ...