Update README.md

README.md

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 # Project-Prep-Series-02-Data-Preparation
-Data preparation is a critical prerequisite to any data analysis or machine learning applications. The purpose of the following workshop is to familiarize students with some data preprocessing basics in Python 3+, using .csv and .png files.
+Data preparation is a critical prerequisite to any data analysis or machine learning application. The purpose of the following workshop is to familiarize students with some data preprocessing basics in Python 3+, using .csv and .png files.
 
-Part 1 will focus on .csv data preparation and we will be walking through the `CSV_preparation.ipynb` notebook. This notebook contains a mini assignment, the answers of which can be found in `CSV_preparation_Mini_Assignment_Answers.ipynb`.
+Part 1 will focus on .csv data preparation and we will be going through the `CSV_preparation.ipynb` notebook. This notebook contains a mini assignment, the answers of which can be found in `CSV_preparation_mini_assignment_answers.ipynb`.
 
-Part 2 will focus on .png (2D image) data preparation and we will be walking through the `CSV_preparation.ipynb` notebook. This notebook contains a mini assignment, the answers of which can be found in `CSV_preparation_Mini_Assignment_Answers.ipynb`.
+Part 2 will focus on .png (2D image) data preparation and we will be going through the `CSV_preparation.ipynb` notebook. This notebook contains a mini assignment, the answers of which can be found in `CSV_preparation_mini_assignment_answers.ipynb`.
 
 ## Part 1: About the CSV Data