diff --git a/courses/free-courses-en.md b/courses/free-courses-en.md
index 393b76b9..013a71b9 100644
--- a/courses/free-courses-en.md
+++ b/courses/free-courses-en.md
@@ -156,6 +156,7 @@
 ### Artificial Intelligence
 
 * [AI Courses](https://software.intel.com/content/www/us/en/develop/topics/ai/training/courses.html) - Intel Corporation
+* [AI Fundamentals](https://www.udacity.com/course/ai-fundamentals--ud099) - Microsoft Azure (Udacity)
 * [Aml-2018 Ambient Intelligence](https://www.youtube.com/playlist?list=PLqRTLlwsxDL8fUcY2Y54sITILyJcTySpC) - Fulvio Corno, Luigi De Russis, Alberto Monge Roffarello @ Politecnico di Torino
 * [Artificial Intelligence on Google Cloud Platform](https://www.youtube.com/playlist?list=PL3N9eeOlCrP6Nhv4UFp67IsQ_TVDpXqXK) - Srivatsan Srinivasan @ AIEngineering (Youtube)
 * [CS50’s Introduction to Artificial Intelligence with Python](https://cs50.harvard.edu/ai/2020/) - Brian Yu, David J. Malan (Harvard OpenCourseWare and EdX)
@@ -269,12 +270,15 @@
 ### Data Science
 
 * [Advanced Data Mining with Weka MOOC](https://www.cs.waikato.ac.nz/ml/weka/mooc/advanceddataminingwithweka/)
+* [Data Analysis and Visualization](https://www.udacity.com/course/data-analysis-and-visualization--ud404) - Georgia Tech (Udacity)
+* [Data Analysis with R](https://www.udacity.com/course/data-analysis-with-r--ud651) - Facebook (Udacity)
 * [Data Cleaning by Rachael Tatman at Kaggle](https://www.kaggle.com/learn/data-cleaning)
 * [Data Mining with Weka MOOC](https://www.cs.waikato.ac.nz/ml/weka/mooc/dataminingwithweka/)
 * [Data Science interview questions](https://www.youtube.com/playlist?list=PLZoTAELRMXVPkl7oRvzyNnyj1HS4wt2K-) - Krish Naik
 * [Data Visualization by Alexis Cook at Kaggle](https://www.kaggle.com/learn/data-visualization)
 * [Datavis 2020](https://www.youtube.com/playlist?list=PL9yYRbwpkykuK6LSMLH3bAaPpXaDUXcLV) - Curran Kelleher
 * [IBM Data Science Professional Certificate](https://www.coursera.org/professional-certificates/ibm-data-science) (Coursera)
+* [Intro to Data Analysis](https://www.udacity.com/course/intro-to-data-analysis--ud170) - Udacity
 * [Introduction to Data Science in Python](https://www.coursera.org/learn/python-data-analysis) - Christopher Brooks (Coursera)
 * [More Data Mining with Weka MOOC](https://www.cs.waikato.ac.nz/ml/weka/mooc/moredataminingwithweka/)
 * [The Analytics Edge](https://www.edx.org/course/analytics-edge-mitx-15-071x-3)
@@ -647,10 +651,12 @@
 
 ### Machine Learning
 
+* [AWS Machine Learning Foundations Course](https://www.udacity.com/course/aws-machine-learning-foundations--ud065) - AWS (Udacity)
 * [Deep Learning Fundamentals by DeepLearning.TV](https://cognitiveclass.ai/courses/introduction-deep-learning) (cognitiveclass.ai)
 * [Google's Machine Learning Crash Course](https://developers.google.com/machine-learning/crash-course/)
 * [Intro to Machine Learning](https://www.kaggle.com/learn/intro-to-machine-learning) (Kaggle)
 * [Intro to Machine Learning Udacity](https://www.udacity.com/course/intro-to-machine-learning--ud120) (Udacity)
+* [Intro to Machine Learning using Microsoft Azure](https://www.udacity.com/course/introduction-to-machine-learning-using-microsoft-azure--ud00333) - Microsoft (Udacity)
 * [Intro to Self-Driving Cars Nanodegree](https://www.udacity.com/course/intro-to-self-driving-cars--nd113) - Cezanne Camacho, Andrew Paster, Anthony Navarro, Tarin Ziyaee et al. (Udacity)
 * [Machine Learning](https://www.sololearn.com/Course/machine-learning) (SoloLearn) *(account required)*
 * [Machine Learning Recipes with Josh Gordon](https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal)