diff --git a/03-data-types-and-format.md b/03-data-types-and-format.md
index 624d59f6e..4a68971ec 100644
--- a/03-data-types-and-format.md
+++ b/03-data-types-and-format.md
@@ -16,10 +16,18 @@ structure and format of our data.
 
 ## Learning Objectives
 
-* Learn about character and numeric data types.
-* Learn how to explore the structure of your data.
-* Understand NaN values and different ways to deal with them.
-
+*Lower-level objectives (Remember/Understand)*
+* List the Pandas Type associated with each of the following Native Python Types: (1) string, (2) int, (3) float
+* Explain what an ‘NaN’ value is, and list at least two challenges of dealing with NaN data.  
+* Describe the difference between floating point and integer numeric data types.
+* Identify a major limitation of storing numbers as strings, e.g. ‘5678’ or ’3.16’.
+
+*Higher-level objectives (Apply/Analyze/Evaluate/Synthesize)*
+* Practice checking the data type of an object, e.g. a data frame,  as well as a column within a data frame
+* Demonstrate how you would convert a float to an integer, then demonstrate how you would convert an integer to a float.  
+* Demonstrate how you would replace NaN values with another value, e.g. 0 or -9999
+* Investigate how leaving NaN values as-is versus replacing with 0 impacts analysis results, such as calculation of the mean value.
+* Given what you’ve learned in this lesson, recommend an approach for dealing with NaN values in all attributes of the example dataset (surveys.csv) and explain your rationale
 
 # Types of Data
 
@@ -68,7 +76,7 @@ is in the table below:
 ## Checking the format of our data
 
 Now that we're armed with a basic understanding of numeric and character data
-types, let's explore the format of our survey data. We'll be working with the 
+types, let's explore the format of our survey data. We'll be working with the
 same `surveys.csv` dataset that we've used in previous lessons.
 
 ```python
@@ -150,7 +158,7 @@ print(24-4)
 
 If we divide one integer by another, we get a float.
 The result on python 3 is different than in python 2, where the result is an
-integer (integer division). 
+integer (integer division).
 
 ```python
 print(5/9)