This course helps prepare you for positions that require the analysis of large data sets, providing the statistics foundation you’ll need for data analysis.
You’ll learn how to model realworld applications using statistical methods. You’ll also gain skills to set up those applications in statistical frameworks, solve the statistical problems using technology and apply those results to answer real business questions. By leveraging the pandas and matplotlib python libraries, you’ll gain exposure to tools used in data analysis, visualization, and data science.
This course specifically explores inferential statistics  the science of applying statistical techniques to quantify and answer realworld data analysis questions.
The content covers three components – descriptive statistics and probability, hypothesis tests and confidence intervals and linear regression analysis.
Upon completing this course, you’ll be able to:
Formulate realworld data analysis questions as problems in statistical frameworks

Explain how statistical concepts are applied in authentic situations

Represent data numerically and visually

Calculate and apply general and normal distribution probabilities
Analyze realworld problems using hypothesis tests and confidence interval techniques

Construct hypothesis test and confidence interval models to solve problems

Calculate hypothesis test and confidence interval results using technology

Interpret the results of hypothesis test and confidence interval calculations
Analyze realworld problems using linear regression analysis techniques

Construct linear regression models to solve problems

Calculate linear regression results using technology

Interpret the results of linear regression calculations
This is the second course in the introductory, undergraduatelevel offering that makes up the larger Business Analytics Foundations MicroBachelors program. We recommend taking them in order, unless you have a background in these areas already and feel comfortable skipping ahead.

Scripting with Python  starting February 2021

Applied Statistics with Python  starting February 2021
NOTE : While this is generally a noncreditbearing course, you may able to use this class with proper completion for 3 credits (1 course) toward a bachelor's degree at Southern New Hampshire University.