Statistics for Data Science and Business Analysis

Editorial course preview

What the public course preview actually shows

These 4 complementary views highlight concrete, legible examples from the course presentation.

A statistical diagram titled 'Grades in a UK university' displaying a normal distribution curve with null and alternative hypotheses, rejection regions marked on the tails, and a 7 — Preview 1 of 4
This slide illustrates hypothesis testing for grades in a UK university using a normal distribution curve, showing null and alternative hypotheses alongside defined rejection regions.

A man with glasses and a blue plaid shirt stands next to a list of statistical topics: Descriptive statistics, Inferential statistics, and Regression analysis. — Preview 2 of 4
The presenter introduces the core curriculum pillars, listing descriptive statistics, inferential statistics, and regression analysis as key areas of study.

A smiling man in a blue plaid shirt stands next to a list of course materials including case studies, workbooks, quiz questions, notes, and supplemental resources. — Preview 3 of 4
The presenter highlights the comprehensive learning materials included in the course, such as four case studies, exercise workbooks, quiz questions, course notes, and supplemental resources.

Preview 4 of 4

The instructor introduces the use of Microsoft Excel 2016 as a practical tool for performing statistical analysis within the data science curriculum.