Using the poplar and easy-to-learn Python language, this course offers a practical introduction to basics of programming and how it can be used to analyze, structure, and visualize data. Students will ...

Topics include data acquisition and analysis, simulation and scientific visualization. An introduction to data science and machine learning. Fundamentals of data representation and analysis will be ...

Introduces students to importing, tidying, exploring, visualizing, summarizing, and modeling data and then communicating the results of these analyses to answer relevant questions and make decisions.

For an introduction to data science, we recommend: G Grolemund and Hadley Wickham R for Data Science (O'Reilly Media, 2016) JV. Guttag Introduction to Computation and Programming using Python (Second ...

Note: This course description is only applicable for the Computer Science Post-Baccalaureate program ... Introduces students to the tools methods and theory behind extracting insights from data.

students learn statistics by doing—class time emphasizes problem-solving and hands-on contact with data. Many courses employ student-driven projects that allow students to pursue their interest in ...

Introduction to the design ... To complete the Master of Science in Data Science, students must earn the remaining of the required 30 credits through completion of approved domain-specific Data ...

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 ...

Discover how data science can help us solve real-world problems. Gain quantitative skills to prepare you for a range of professional and managerial careers. Our BSc Data Science brings together the ...