Skip to Main Content
Table 1.

Learning objectives for Python programming exercise

Instructional PhaseLearning Goals
Day 1: Familiarity with the Command Line LG 1: Type and execute a series of one-line codes on the Python GUI. 
Day 2: Introduction to Python Libraries and Basic Statistical Analyses 

LG 2.1: Organize a data set into a data frame using the pandas library.

LG 2.2: Calculate summary statistics using the pandas library.

LG 2.3: Execute a pairwise t-test using the scipy library.

 
Day 3: Simple Graphing in Python LG 3: Create a line and bar graph using the matplotlib library. 
Day 4: Importing and Analyzing a Raw Data Set 

LG 4.1: Import and parse an Excel data set using pandas.

LG 4.2: Calculate summary statistics and depict the data on a bar graph using pyplot.

LG 4.3: Execute a t-test using scipy.

 
Instructional PhaseLearning Goals
Day 1: Familiarity with the Command Line LG 1: Type and execute a series of one-line codes on the Python GUI. 
Day 2: Introduction to Python Libraries and Basic Statistical Analyses 

LG 2.1: Organize a data set into a data frame using the pandas library.

LG 2.2: Calculate summary statistics using the pandas library.

LG 2.3: Execute a pairwise t-test using the scipy library.

 
Day 3: Simple Graphing in Python LG 3: Create a line and bar graph using the matplotlib library. 
Day 4: Importing and Analyzing a Raw Data Set 

LG 4.1: Import and parse an Excel data set using pandas.

LG 4.2: Calculate summary statistics and depict the data on a bar graph using pyplot.

LG 4.3: Execute a t-test using scipy.

 
Close Modal

or Create an Account

Close Modal
Close Modal