The Bachelor of Science in Statistics and Data Science is the college’s newest major. The curriculum is designed to equip students to execute all stages of a data analysis, from data acquisition and ...

The Bachelor of Arts degree in Statistics and Data Science (STAT) offered by the Department of Applied Mathematics at CU Boulder is designed with an emphasis on inter- and cross-disciplinary training.

The 7 Best Data Science Courses That are Worth Taking Your email has been sent Today’s best data science courses offer hands-on experience with Python, SQL, libraries, basic machine learning models ...

The Willamette MSDS program was designed to develop skills that are relevant to the modern tech landscape. AI is transforming the world and impacting organizations at all levels, and ethics, machine ...

This course focuses on developing the foundational skills of a modern data scientist including data cleaning, wrangling, visualization, and communication. Students will actively engage with R and ...

Statistics is the science of learning from data. The theoretical foundation of statistics lies in probability theory, which is applied to decision-making under uncertainty. Data science consists of ...

Some of the world’s best tech-led colleges and universities offer specialized Master’s Degree courses in these subjects, and often they are also world leaders in research, partnered with Silicon ...

The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...

NEW YORK--(BUSINESS WIRE)--Machine learning, deep learning, neural networks: the cutting edge techniques of data science have radically changed the score for organizations from Fortune 500 companies ...

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 ...

This course introduces the theoretical, philosophical, and mathematical foundations of Bayesian Statistical inference. Students will learn to apply this foundational knowledge to real-world data ...