This module begins with an introduction to the course including motivation for the topic, the course goals, what topics the course will cover, and what is expected of the students. It then reviews the ...

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 ...

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 ...

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

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 ...

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 ...

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 ...

This introductory ethics module for data science courses includes a reading, homework assignments, and case studies, all designed to spark a conversation about ethical issues that students will face ...

Data science is an exciting and rapidly growing field that involves extracting insights and knowledge from data. To land a top data science job, it is important to have a solid foundation in key data ...

As the coronavirus has infected millions of Americans, the news media have become saturated with numbers: new infection cases, hospitalization rates, death tolls, and vaccine trial results. Many ...