データサイエンスなどを学ぶ上で参考になったオンライン講座 (英語)


　自分用の忘備録として、またオンライン講座が多すぎて何から手を付けてよいか迷っている方の参考になればと、データサイエンス周辺の知識を学ぶ上で非常に参考になったインターネットコンテンツ(Coursera、edX、Udacity、DataCamp、Cloud Academy、Udemy、A Cloud Guru)をまとめています。
　言語はすべて英語で恐縮ですが、中には日本語字幕があるものもあります(翻訳精度に関しては保証できませんが……)。
　内容に関しては適宜更新予定です。
#1. Tools & Languages
|Tools & Language|Core|Intermediate|Advanced|
|---|---|---|---|
|GitHub||Udemy: [GitHub Ultimate: Master Git and GitHub - Beginner to Expert](https://www.udemy.com/course/github-ultimate/)||
|Python|･DataCamp: [Data Scientist with Python](https://learn.datacamp.com/career-tracks/data-scientist-with-python)<br>･DataCamp: [Importing & Cleaning Data with Python](https://learn.datacamp.com/skill-tracks/importing-cleaning-data-with-python)<br>･DataCamp: [Statistics Fundamentals with Python](https://learn.datacamp.com/skill-tracks/statistics-fundamentals-with-python)|Udemy: [REST APIs with Flask and Python](https://www.udemy.com/course/rest-api-flask-and-python/)|Udemy: [NLP - Natural Language Processing with Python](https://www.udemy.com/course/nlp-natural-language-processing-with-python/)|
|R|DataCamp: [Data Scientist with R](https://learn.datacamp.com/career-tracks/data-scientist-with-r)|Coursera: [R Programming](https://www.coursera.org/learn/r-programming)||
|SQL|DataCamp: [Introduction to SQL](https://learn.datacamp.com/courses/introduction-to-sql)|A Cloud Guru: [Database Administration and SQL Language Basics](https://acloudguru.com/course/database-administration-and-sql-language-basics)||
|PySpark|DataCamp: [PySpark Training Pre-work](https://learn.datacamp.com/custom-tracks/custom-pyspark-training-pre-work)|Udemy: [Spark and Python for Big Data with PySpark](https://www.udemy.com/course/spark-and-python-for-big-data-with-pyspark/)||
|DataBricks||Udemy: [Azure Cloud Azure Databricks Apache Spark Machine learning](https://www.udemy.com/course/azure-cloud-azure-databricks-apache-spark-machine-learning/)||
|C/C++|||edX: [Professional Certificate in C Programming with Linux](https://www.edx.org/professional-certificate/dartmouth-imtx-c-programming-with-linux)|
|TensorFlow|Udacity: [Intro to TensorFlow for Deep Learning](https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187)|Coursera: [Natural Language Processing in TensorFlow](https://www.coursera.org/learn/natural-language-processing-tensorflow)||
|Tableau||Udemy: [Tableau 2020 A-Z: Hands-On Tableau Training for Data Science](https://www.udemy.com/course/tableau10/)||
#2. Methods & Use Cases
|Methods|Core|Intermediate|Advanced|
|---|---|---|---|
|(Un)Supervised Learning|･DataCamp: [Machine Learning Fundamentals with Python](https://learn.datacamp.com/skill-tracks/machine-learning-fundamentals-with-python)|･DataCamp: [Machine Learning Scientist with Python](https://learn.datacamp.com/career-tracks/machine-learning-scientist-with-python)<br>･Coursera: [Machine Learning](https://www.coursera.org/learn/machine-learning)<br>･Coursera: [Machine Learning Foundations: A Case Study Approach](https://www.coursera.org/learn/ml-foundations)|･Coursera: [Machine Learning](https://www.coursera.org/specializations/machine-learning)|
|Feature Engineering|･DataCamp: [Feature Engineering for Machine Learning in Python](https://learn.datacamp.com/courses/feature-engineering-for-machine-learning-in-python)|||
|Reinforcement Learning||･Udemy: [Artificial Intelligence: Reinforcement Learning in Python](https://www.udemy.com/course/artificial-intelligence-reinforcement-learning-in-python/)|･Stanford University: [Reinforcement Learning](https://web.stanford.edu/class/cs234/index.html)|
|Time Series||･Coursera: [Practical Time Series Analysis](https://www.coursera.org/learn/practical-time-series-analysis)||
|Deep Learning||･Coursera: [TensorFlow Developer Professional Certificate](https://www.coursera.org/specializations/deep-learning)|･Cousera: [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning)|
|Experimental Design (A/B Testing)|･Udemy: [A/B Testing and Experimentation for Beginners](https://www.udemy.com/course/ab-testing-and-experimentation-for-websites-and-marketing/)|||
|AI For Everyone|･Coursera: [AI For Everyone](https://www.coursera.org/learn/ai-for-everyone)<br>･DataCamp: [Machine Learning for Business](https://learn.datacamp.com/courses/machine-learning-for-business)<br>･DataCamp: [Data Science for Business](https://learn.datacamp.com/courses/data-science-for-business)|･Data 100: [Principles and Techniques of Data Science](https://ds100.org/)<br>･MIT OpenCourseWare: [Introduction to Computational Thinking and Data Science](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/)||
|Forecasting||･DataCamp: [Forecasting in R](https://learn.datacamp.com/courses/forecasting-using-r)<br>･DataCamp: [ARIMA Models in R](https://learn.datacamp.com/courses/arima-modeling-with-r)<br>･DataCamp: [Forecasting Product Demand in R](https://learn.datacamp.com/courses/forecasting-product-demand-in-r)||
|Statistics|･DataCamp: [Statistics Fundamentals with Python](https://learn.datacamp.com/skill-tracks/statistics-fundamentals-with-python)|||
|Marketing Analytics|･DataCamp: [Marketing Analytics with Python](https://learn.datacamp.com/skill-tracks/marketing-analytics-with-python)<br>･Coursera: [Business Analytics Specialization on Coursera](https://www.coursera.org/specializations/business-analytics)|||
#3. Cloud
|Cloud|Beginner|Proficient|Expert|Specialty|
|---|---|---|---|---|
|AWS|･Udemy: [AWS Essentials](https://www.udemy.com/course/aws-essentials-z/)<br>･Cloud Academy: [AWS Cloud Practitioner Certification Preparation](https://cloudacademy.com/learning-paths/cloud-academy-cloud-practitioner-certification-preparation-for-aws-180/)|･Cloud Academy: [AWS Solutions Architect – Associate Certification Preparation for AWS](https://cloudacademy.com/learning-paths/cloud-academy-solutions-architect-associate-certification-v152-184/)<br>･A Gloud Guru: [AWS Certified Solutions Architect Associate](https://acloudguru.com/course/aws-certified-solutions-architect-associate-saa-c02)|･Cloud Academy: [Solutions Architect – Professional Certification Preparation for AWS](https://cloudacademy.com/learning-paths/solutions-architect-professional-certification-preparation-for-aws-2019-377/)|･Cloud Academy: [AWS Big Data – Specialty Certification Preparation for AWS](https://cloudacademy.com/learning-paths/big-data-specialty-certification-preparation-for-aws-36/)<br>･A Cloud Guru: [AWS Certified Big Data - Specialty](https://acloudguru.com/course/aws-certified-big-data-specialty)<br>･Cloud Academy: [AWS Machine Learning – Specialty Certification Preparation](https://cloudacademy.com/learning-paths/aws-machine-learning-specialty-certification-preparation-453/)<br>･A Cloud Guru: [AWS Certified Machine Learning - Specialty](https://acloudguru.com/course/aws-certified-machine-learning-specialty-la)|
|Azure|･[Azure Fundamentals Learning path](https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RE38YZj)<br>･Udemy: [Azure Fundamentals: AZ-900 Certification +Practice Questions](https://www.udemy.com/course/azure-fundamentals-az-900-certification/)<br>･Cloud Academy: [AZ-900 Exam Preparation: Microsoft Azure Fundamentals](https://cloudacademy.com/learning-paths/az-900-exam-preparation-microsoft-azure-fundamentals-524/)|･[Learning path for Azure Data Scientist](https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RE2PLKZ)<br>･[Learning path for Azure Data Engineer](https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RWuAzL)<br>･Cloud Academy: [DP-200 Exam Preparation: Implementing an Azure Data Solution](https://cloudacademy.com/learning-paths/dp-200-exam-preparation-implementing-an-azure-data-solution-925/)|･[Learning path for Azure Solutions Architect](https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RWtVsd)<br>･Udemy: [Microsoft AZ-304 Certification: Azure Architect Design](https://www.udemy.com/course/microsoft-az-301-certification-azure-architect-design/)<br>･Cloud Academy: [AZ-300 Exam Preparation: Technologies for Microsoft Azure Architects](https://cloudacademy.com/learning-paths/az-300-exam-preparation-technologies-for-microsoft-azure-architects-389/)|･Cloud Academy: [Using Azure AI Services to Build Customer Solutions](https://cloudacademy.com/learning-paths/using-azure-ai-services-to-build-customer-solutions-281/)<br>･[Learning path for Azure Developer](https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RWtQqM)<br>･Udemy: [AZ-204 Developing for Microsoft Azure Exam Prep](https://www.udemy.com/course/70532-azure/)<br>･Cloud Academy: [AZ-203 Exam Preparation: Developing Solutions for Microsoft Azure](https://cloudacademy.com/learning-paths/az-203-exam-preparation-developing-solutions-for-microsoft-azure-534/)|
|GCP|･Coursera: [Google Cloud Platform Fundamentals: Core Infrastructure](https://www.coursera.org/learn/gcp-fundamentals)<br>･Udemy: [Google Certified Associate Cloud Engineer Certification](https://www.udemy.com/course/google-certified-associate-cloud-engineer/)<br>･Cloud Academy: [Google Associate Cloud Engineer Exam Preparation](https://cloudacademy.com/learning-paths/google-associate-cloud-engineer-exam-preparation-844/)|･Cloud Academy: [Google Data Engineer Exam – Professional Certification Preparation](https://cloudacademy.com/learning-paths/data-engineer-professional-certification-preparation-for-google-83/)|･Udemy: [Ultimate Google Certified Professional Cloud Architect 2020](https://www.udemy.com/course/google-cloud-architect-certifications/)<br>･Cloud Academy: [Cloud Architect – Professional Certification Preparation for Google](https://cloudacademy.com/learning-paths/cloud-architect-professional-certification-preparation-for-google-35/)|･Udemy: [Ultimate Google Certified Professional Cloud Developer 2020](https://www.udemy.com/course/google-cloud-platform-professional-cloud-developer-certification/)<br>･Cloud Academy: [Google Cloud Platform for Developers](https://cloudacademy.com/learning-paths/google-cloud-platform-for-developers-19/)<br>･A Cloud Guru: [Google Cloud Certified Professional Cloud Developer](https://acloudguru.com/course/google-cloud-certified-professional-cloud-developer)|
#4. Others
||Core|Intermediate|Advanced
|---|---|---|---|
|Docker|Udemy: [Docker Mastery: with Kubernetes +Swarm from a Docker Captain](https://www.udemy.com/course/docker-mastery/)|||
|Kubernetes|Linux Foundation: [Kubernetes Fundamentals](https://training.linuxfoundation.org/training/kubernetes-fundamentals/)|Linux Foundation: [Kubernetes for Developers](https://training.linuxfoundation.org/training/kubernetes-for-developers/)||
|Agile|･Udemy: [Agile Foundations - getting to Done](https://www.udemy.com/course/a3d-a501-agile-foundations1/)<br>･SoftEd: [Agile Fundamentals](https://www.softed.com/course/agile-fundamentals)|||
|Kanban|･Udemy: [Getting Things Done with Kanban](https://www.udemy.com/course/getting-things-done-with-kanban/)|||
|Design thinking|･Coursera: [Design Thinking for Innovation](https://www.coursera.org/learn/uva-darden-design-thinking-innovation)|