　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
Python	･DataCamp: Data Scientist with Python ･DataCamp: Importing & Cleaning Data with Python ･DataCamp: Statistics Fundamentals with Python	Udemy: REST APIs with Flask and Python	Udemy: NLP - Natural Language Processing with Python
R	DataCamp: Data Scientist with R	Coursera: R Programming
SQL	DataCamp: Introduction to SQL	A Cloud Guru: Database Administration and SQL Language Basics
PySpark	DataCamp: PySpark Training Pre-work	Udemy: Spark and Python for Big Data with PySpark
DataBricks		Udemy: Azure Cloud Azure Databricks Apache Spark Machine learning
C/C++			edX: Professional Certificate in C Programming with Linux
TensorFlow	Udacity: Intro to TensorFlow for Deep Learning	Coursera: Natural Language Processing in TensorFlow
Tableau		Udemy: Tableau 2020 A-Z: Hands-On Tableau Training for Data Science
#2. Methods & Use Cases
Methods	Core	Intermediate	Advanced
---	---	---	---
(Un)Supervised Learning	･DataCamp: Machine Learning Fundamentals with Python	･DataCamp: Machine Learning Scientist with Python ･Coursera: Machine Learning ･Coursera: Machine Learning Foundations: A Case Study Approach	･Coursera: Machine Learning
Feature Engineering	･DataCamp: Feature Engineering for Machine Learning in Python
Reinforcement Learning		･Udemy: Artificial Intelligence: Reinforcement Learning in Python	･Stanford University: Reinforcement Learning
Time Series		･Coursera: Practical Time Series Analysis
Deep Learning		･Coursera: TensorFlow Developer Professional Certificate	･Cousera: Deep Learning Specialization
Experimental Design (A/B Testing)	･Udemy: A/B Testing and Experimentation for Beginners
AI For Everyone	･Coursera: AI For Everyone ･DataCamp: Machine Learning for Business ･DataCamp: Data Science for Business	･Data 100: Principles and Techniques of Data Science ･MIT OpenCourseWare: Introduction to Computational Thinking and Data Science
Forecasting		･DataCamp: Forecasting in R ･DataCamp: ARIMA Models in R ･DataCamp: Forecasting Product Demand in R
Statistics	･DataCamp: Statistics Fundamentals with Python
Marketing Analytics	･DataCamp: Marketing Analytics with Python ･Coursera: Business Analytics Specialization on Coursera
#3. Cloud
Cloud	Beginner	Proficient	Expert
---	---	---	---
AWS	･Udemy: AWS Essentials ･Cloud Academy: AWS Cloud Practitioner Certification Preparation	･Cloud Academy: AWS Solutions Architect – Associate Certification Preparation for AWS ･A Gloud Guru: AWS Certified Solutions Architect Associate	･Cloud Academy: Solutions Architect – Professional Certification Preparation for AWS
Azure	･Azure Fundamentals Learning path ･Udemy: Azure Fundamentals: AZ-900 Certification +Practice Questions ･Cloud Academy: AZ-900 Exam Preparation: Microsoft Azure Fundamentals	･Learning path for Azure Data Scientist ･Learning path for Azure Data Engineer ･Cloud Academy: DP-200 Exam Preparation: Implementing an Azure Data Solution	･Learning path for Azure Solutions Architect ･Udemy: Microsoft AZ-304 Certification: Azure Architect Design ･Cloud Academy: AZ-300 Exam Preparation: Technologies for Microsoft Azure Architects
GCP	･Coursera: Google Cloud Platform Fundamentals: Core Infrastructure ･Udemy: Google Certified Associate Cloud Engineer Certification ･Cloud Academy: Google Associate Cloud Engineer Exam Preparation	･Cloud Academy: Google Data Engineer Exam – Professional Certification Preparation	･Udemy: Ultimate Google Certified Professional Cloud Architect 2020 ･Cloud Academy: Cloud Architect – Professional Certification Preparation for Google
#4. Others
	Core	Intermediate	Advanced
---	---	---	---
Docker	Udemy: Docker Mastery: with Kubernetes +Swarm from a Docker Captain
Kubernetes	Linux Foundation: Kubernetes Fundamentals	Linux Foundation: Kubernetes for Developers
Agile	･Udemy: Agile Foundations - getting to Done ･SoftEd: Agile Fundamentals
Kanban	･Udemy: Getting Things Done with Kanban
Design thinking	･Coursera: Design Thinking for Innovation