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
3. Cloud
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 |