Foundational Statistics

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.

More details