They cover key skills such as Python, SQL, statistics, machine learning, deep learning, data engineering, MLOps and ...

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 ...

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 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 ...

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 ...

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Define a composite hypothesis and the level of significance for a test with ...

Rochester Institute of Technology professors have received a National Science Foundation award to develop a hands-on data science course for non-computing majors. The course will first be offered at ...

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 ...

Google Data Analytics Professional Certificate: Coursera IBM Data Science Professional Certificate: Coursera Learn SQL Basics for Data Science Specialization: Coursera the PwC Approach Specialization: ...