Foundational Statistics

This course will provide a practical, hands-on foundation in basic statistics. It will begin by covering the essential concepts and steps to data-driven decision making through asking effective questions based on your stakeholders’ needs. It will then move into descriptive statistics, enabling you to understand and explain the essential qualities of a dataset such as its measures of central tendency (mean, median, mode) and variability (interquartile range, standard deviation). The course will conclude with inferential statistics, giving you the skills you need to draw conclusions about a population based on data from a sample. Analyses covered will include correlation, t-test, and simple and multiple linear regressions.COURSE TOPICS          Introduction to data-driven decision-making               Descriptive statistics               Central tendency (Mean, median, mode, minimum, maximum, range, histograms)          Variability (interquartile range, standard deviation)          Central limit theorem, confidence intervals, hypothesis testing               Inferential statistics               T-tests, ANOVA, correlation, linear and multiple regression      This course is eligible towards the completion of the Certificate in Data Analytics. Bundle your coursework and earn a professional credential that communicates knowledge and skills gained. Declared Certificate students receive 10% off of courses within the program.