Update README.md

Author: chongjason914

README.md

@@ -9,16 +9,18 @@ Pandas Zero to Hero is a beginner's tutorial to using the Pandas library. This r
 YouTube channel.
 
 ## How will the tutorial be structured?
-A new tutorial will be released on a weekly basis and it will be structured such that it builds upon the knowledge from the prior weeks. I will also be importing and working 
-with datasets from [kaggle](https://www.kaggle.com/) to demonstrate the different concepts in each week's tutorial. 
+A new tutorial will be released on a weekly basis and it will be structured such that it builds upon the knowledge from the prior weeks. I will also be importing and working with datasets from [Kaggle](https://www.kaggle.com/) to demonstrate the different concepts in each week's tutorial. 
 
 ## What do I hope to accomplish with this tutorial?
 I am doing this mainly to inspire and encourage more people to use pandas in their own data analysis work. Furthermore, I want to use this tutorial as means of improving my communication skills as well as my ability to explain concepts in simple but thorough terms. 
 
 ## Topics
-Week 1: Importing data and creating dataframe \
-Week 2: Selecting data using loc and iloc \
-Week 3: Functions and descriptive statistics \
-Week 4: Grouping and sorting data \
-Week 5: Data types and missing values \
-Week 6: Combining dataframes
+[Week 1: Importing data and creating dataframe](https://www.youtube.com/watch?v=Dqi5c1A9S1Y&t=33s) \
+[Week 2: Selecting data using loc and iloc](https://www.youtube.com/watch?v=cGRhbYNJX-Y) \
+[Week 3: Functions and descriptive statistics](https://www.youtube.com/watch?v=ALG7bJ568_8) \
+[Week 4: Grouping and sorting data](https://www.youtube.com/watch?v=OYBzwzfbHpU) \
+[Week 5: Data types and missing values](https://www.youtube.com/watch?v=QVJY4qJ5-YE) \
+[Week 6: Combining dataframes](https://www.youtube.com/watch?v=KYR3GUB3OcQ)
+
+# Medium article
+Link to write-up on Towards Data Science [here](https://towardsdatascience.com/pandas-zero-to-hero-a-beginners-tutorial-to-using-pandas-f64e57386c7c).