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156 | 156 | ### Artificial Intelligence
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157 | 157 |
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158 | 158 | * [AI Courses](https://software.intel.com/content/www/us/en/develop/topics/ai/training/courses.html) - Intel Corporation
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| 159 | +* [AI Fundamentals](https://www.udacity.com/course/ai-fundamentals--ud099) - Microsoft Azure (Udacity) |
159 | 160 | * [Aml-2018 Ambient Intelligence](https://www.youtube.com/playlist?list=PLqRTLlwsxDL8fUcY2Y54sITILyJcTySpC) - Fulvio Corno, Luigi De Russis, Alberto Monge Roffarello @ Politecnico di Torino
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160 | 161 | * [Artificial Intelligence on Google Cloud Platform](https://www.youtube.com/playlist?list=PL3N9eeOlCrP6Nhv4UFp67IsQ_TVDpXqXK) - Srivatsan Srinivasan @ AIEngineering (Youtube)
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161 | 162 | * [CS50’s Introduction to Artificial Intelligence with Python](https://cs50.harvard.edu/ai/2020/) - Brian Yu, David J. Malan (Harvard OpenCourseWare and EdX)
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269 | 270 | ### Data Science
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270 | 271 |
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271 | 272 | * [Advanced Data Mining with Weka MOOC](https://www.cs.waikato.ac.nz/ml/weka/mooc/advanceddataminingwithweka/)
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| 273 | +* [Data Analysis and Visualization](https://www.udacity.com/course/data-analysis-and-visualization--ud404) - Georgia Tech (Udacity) |
| 274 | +* [Data Analysis with R](https://www.udacity.com/course/data-analysis-with-r--ud651) - Facebook (Udacity) |
272 | 275 | * [Data Cleaning by Rachael Tatman at Kaggle](https://www.kaggle.com/learn/data-cleaning)
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273 | 276 | * [Data Mining with Weka MOOC](https://www.cs.waikato.ac.nz/ml/weka/mooc/dataminingwithweka/)
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274 | 277 | * [Data Science interview questions](https://www.youtube.com/playlist?list=PLZoTAELRMXVPkl7oRvzyNnyj1HS4wt2K-) - Krish Naik
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275 | 278 | * [Data Visualization by Alexis Cook at Kaggle](https://www.kaggle.com/learn/data-visualization)
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276 | 279 | * [Datavis 2020](https://www.youtube.com/playlist?list=PL9yYRbwpkykuK6LSMLH3bAaPpXaDUXcLV) - Curran Kelleher
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277 | 280 | * [IBM Data Science Professional Certificate](https://www.coursera.org/professional-certificates/ibm-data-science) (Coursera)
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| 281 | +* [Intro to Data Analysis](https://www.udacity.com/course/intro-to-data-analysis--ud170) - Udacity |
278 | 282 | * [Introduction to Data Science in Python](https://www.coursera.org/learn/python-data-analysis) - Christopher Brooks (Coursera)
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279 | 283 | * [More Data Mining with Weka MOOC](https://www.cs.waikato.ac.nz/ml/weka/mooc/moredataminingwithweka/)
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280 | 284 | * [The Analytics Edge](https://www.edx.org/course/analytics-edge-mitx-15-071x-3)
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647 | 651 |
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648 | 652 | ### Machine Learning
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649 | 653 |
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| 654 | +* [AWS Machine Learning Foundations Course](https://www.udacity.com/course/aws-machine-learning-foundations--ud065) - AWS (Udacity) |
650 | 655 | * [Deep Learning Fundamentals by DeepLearning.TV](https://cognitiveclass.ai/courses/introduction-deep-learning) (cognitiveclass.ai)
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651 | 656 | * [Google's Machine Learning Crash Course](https://developers.google.com/machine-learning/crash-course/)
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652 | 657 | * [Intro to Machine Learning](https://www.kaggle.com/learn/intro-to-machine-learning) (Kaggle)
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653 | 658 | * [Intro to Machine Learning Udacity](https://www.udacity.com/course/intro-to-machine-learning--ud120) (Udacity)
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| 659 | +* [Intro to Machine Learning using Microsoft Azure](https://www.udacity.com/course/introduction-to-machine-learning-using-microsoft-azure--ud00333) - Microsoft (Udacity) |
654 | 660 | * [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)
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655 | 661 | * [Machine Learning](https://www.sololearn.com/Course/machine-learning) (SoloLearn) *(account required)*
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656 | 662 | * [Machine Learning Recipes with Josh Gordon](https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal)
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