This course will provide a practical, hands-on foundation in basic statistical analysis for the interpretation data. Topics include descriptive statistics, frequency distributions, probability theory, correlation, regression analysis, probability distributions, normal distributions, central limit theorem, t-distributions, confidence intervals, hypothesis testing, chi-square test, and one-way analysis of variance.

COURSE TOPICS

• Introduction to data-driven decision-making
• Data types
• Sample vs. Population
• Data collection methods
• Data organization through tables and graphs
• Descriptive statistics Central tendency (mean, median, mode, minimum, maximum, range, histograms)
• Variability (interquartile range, standard deviation)
• Basic probability
• 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.

You'll walk away with

• The ability to discuss how data can be leveraged throughout the various stages of a decision-making process
• The ability to read and communicate the results of an analysis
• A foundation in descriptive and inferential statistics