diff --git a/_episodes/02-starting-with-data.md b/_episodes/02-starting-with-data.md
index 705e2760b..a5d26e877 100644
--- a/_episodes/02-starting-with-data.md
+++ b/_episodes/02-starting-with-data.md
@@ -119,7 +119,7 @@ time we call a Pandas function.
 
 # Reading CSV Data Using Pandas
 
-We will begin by locating and reading our survey data which are in CSV format. CSV stands for Comma-Separated Values and is a common way store formatted data. Other symbols my also be used, so you might see tab-separated, colon-separated or space separated files. It is quite easy to replace one separator with another, to match your application. The first line in the file often has headers to explain what is in each column. CSV (and other separators) make it easy to share data, and can be imported and exported from many applications, including Microsoft Excel. For more details on CSV files, see the [Data Organisation in Spreadsheets](http://www.datacarpentry.org/spreadsheet-ecology-lesson/05-exporting-data/) lesson.
+We will begin by locating and reading our survey data which are in CSV format. CSV stands for Comma-Separated Values and is a common way store formatted data. Other symbols may also be used, so you might see tab-separated, colon-separated or space separated files. It is quite easy to replace one separator with another, to match your application. The first line in the file often has headers to explain what is in each column. CSV (and other separators) make it easy to share data, and can be imported and exported from many applications, including Microsoft Excel. For more details on CSV files, see the [Data Organisation in Spreadsheets](http://www.datacarpentry.org/spreadsheet-ecology-lesson/05-exporting-data/) lesson.
 We can use Pandas' `read_csv` function to pull the file directly into a
 [DataFrame](http://pandas.pydata.org/pandas-docs/stable/dsintro.html#dataframe).
 
@@ -161,7 +161,7 @@ We can see that there were 35,549 rows parsed. Each row has 9
 columns. The first column is the index of the DataFrame. The index is used to
 identify the position of the data, but it is not an actual column of the DataFrame.
 It looks like  the `read_csv` function in Pandas  read our file properly. However,
-we haven't saved any data to memory so we can work with it.We need to assign the
+we haven't saved any data to memory so we can work with it. We need to assign the
 DataFrame to a variable. Remember that a variable is a name for a value, such as `x`,
 or  `data`. We can create a new  object with a variable name by assigning a value to it using `=`.