From b94e08b7eee5e03451bfc2be5f15123abb4cbfbf Mon Sep 17 00:00:00 2001
From: Anurag Kumar <165746882+Anuragkumer@users.noreply.github.com>
Date: Thu, 6 Feb 2025 00:04:10 +0530
Subject: [PATCH] README.md

just a small touch
---
 2-Working-With-Data/07-python/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/2-Working-With-Data/07-python/README.md b/2-Working-With-Data/07-python/README.md
index 119b53cb..e2444b41 100644
--- a/2-Working-With-Data/07-python/README.md
+++ b/2-Working-With-Data/07-python/README.md
@@ -208,7 +208,7 @@ We have also seen the usage of `plot` function to visualize some columns. While
 
 This overview covers most important concepts of Pandas, however, the library is very rich, and there is no limit to what you can do with it! Let's now apply this knowledge for solving specific problem.
 
-## 🚀 Challenge 1: Analyzing COVID Spread
+### 🚀 Challenge 1: Analyzing COVID Spread
 
 First problem we will focus on is modelling of epidemic spread of COVID-19. In order to do that, we will use the data on the number of infected individuals in different countries, provided by the [Center for Systems Science and Engineering](https://systems.jhu.edu/) (CSSE) at [Johns Hopkins University](https://jhu.edu/). Dataset is available in [this GitHub Repository](https://github.com/CSSEGISandData/COVID-19).