Explain why probability is important to statistics and data science. See the relationship between conditional and independent events in a statistical experiment. Calculate the expectation and variance ...

Identify characteristics of “good” estimators and be able to compare competing estimators. Construct sound estimators using the techniques of maximum likelihood and method of moments estimation.

To provide students with the skills and understanding sufficient to be able to design, implement and critique data analysis of biomedical data. For full instructions on how to apply for short courses, ...

The Critical Data Studies Collective at Purdue has developed a syllabus and a variety of courses for both undergraduate and graduate students. Below is a non-exhaustive list of CDS courses, open ...

You don't have to spend a fortune and study for years to start working with big data, analytics, and artificial intelligence. Demand for "armchair data scientists" – those without formal ...

Data Science is a structured approach to extracting valuable insights from data, and it involves several key stages to ensure success. Let's explore each phase in detail: By following this structured ...

The Michigan Tech Data Science MS provides a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen. You'll gain a ...

Help transform information into insights that shape the world. Gain the technical skills, knowledge, and ethical perspective you need with a bachelor's degree in data science. Data scientists are ...