Upon completion of this module, students will be able to use R and RStudio to create visual representations of data, and calculate descriptive statistics to describe location, spread and shape of data ...

Learning statistics is essential for pursuing a career in data science or analytics. Data scientists and analysts use statistics to uncover the meaning behind data. A spreadsheet with millions of ...

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 ...

A recent Section U webinar held in December, featured Maria Terres, Ph.D., a senior staff data scientist from autonomous car ...

The collection of descriptive biological data (the first 'statistics ... the focus is on the interrelationship between statistics and science and there is much here on the historical role ...

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 ...

Conclusive research is a structured data collection ... each a form of descriptive marketing research. A survey gathers information from a sample to construct quantitative statistics that describe ...

Except in one field: statistics. The discipline, which used to have all the allure of an actuarial table, has been rebranded as part of the hot high-tech field of data science, or Big Data.