From 2e00a75a664479590a9d29f44231096999109690 Mon Sep 17 00:00:00 2001
From: Ayesha <106478752+ayeshag7@users.noreply.github.com>
Date: Wed, 5 Oct 2022 23:00:47 +0500
Subject: [PATCH] Added beginner friendly Data Science courses in the
 free-courses-en.md (#7621)

* Update free-courses-en.md

* Update free-courses-en.md
---
 courses/free-courses-en.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/courses/free-courses-en.md b/courses/free-courses-en.md
index a1a3590cb..1b5d23139 100644
--- a/courses/free-courses-en.md
+++ b/courses/free-courses-en.md
@@ -325,12 +325,14 @@
 ### Data Science
 
 * [Advanced Data Mining with Weka MOOC](https://www.cs.waikato.ac.nz/ml/weka/mooc/advanceddataminingwithweka/)
+* [Applied Data Science with Python](https://cognitiveclass.ai/learn/data-science-with-python) - CognitiveClass.ai
 * [Data Analysis and Visualization](https://www.udacity.com/course/data-analysis-and-visualization--ud404) - Georgia Tech (Udacity)
 * [Data Analysis with Python: Zero to Pandas](https://jovian.ai/learn/data-analysis-with-python-zero-to-pandas) (Jovian)
 * [Data Analysis with R](https://www.udacity.com/course/data-analysis-with-r--ud651) - Facebook (Udacity)
 * [Data Cleaning](https://www.kaggle.com/learn/data-cleaning) - Rachael Tatman (Kaggle)
 * [Data Mining with Weka MOOC](https://www.cs.waikato.ac.nz/ml/weka/mooc/dataminingwithweka/)
 * [Data science for beginners](https://microsoft.github.io/Data-Science-For-Beginners) - Microsoft
+* [Data Science Fundamentals](https://cognitiveclass.ai/learn/data-science) - CognitiveClass.ai
 * [Data Science interview questions](https://www.youtube.com/playlist?list=PLZoTAELRMXVPkl7oRvzyNnyj1HS4wt2K-) - Krish Naik
 * [Data Visualization](https://www.kaggle.com/learn/data-visualization) - Alexis Cook (Kaggle)
 * [Datavis 2020](https://www.youtube.com/playlist?list=PL9yYRbwpkykuK6LSMLH3bAaPpXaDUXcLV) - Curran Kelleher