fixed formatting

Author: hfboyce

chapters/en/slides/module0/module0_00.md

@@ -17,11 +17,11 @@ Welcome to Programming in Python for Data Science.
 1. Understand the key data structures in Python.
 1. Read data into Python data from vanilla (e.g., .csv) and non-standard plain text files, as well as common spreadsheet file types (e.g., .xls).
 1. Construct simple plots using Altair
-1. Manipulate a single data table by:
-    7.1 Filtering rows based on a criterion or combination of criteria
-    7.2 Selecting variables
-    7.3 Creating new variables and modifying pre-existing ones
-    7.4 Rearranging the observations or variables by sorting.
+1. Manipulate a single data table by:    
+    7.1 Filtering rows based on a criterion or combination of criteria.   
+    7.2 Selecting variables.    
+    7.3 Creating new variables and modifying pre-existing ones.    
+    7.4 Rearranging the observations or variables by sorting.     
 1. Manage and manipulate data with dates and times, missing values and categorical variables as well as renaming dataframe columns.
 1. Produce human-readable code that incorporates best practices of programming and coding style.