This is the Curriculum for Learn Data in 3 Science Months by Siraj,Dreams in the CodingTrain Raval and Roadmap: How to Learn Machine Learning in 6 Months by Zach Miller.

Since resources across the internet vary in terms of their pre-requisites and general accessibility, it is useful to give attributes to them so that it is easy to understand where a resource fits into the wider machine learning scope. Below is a few suggested attributes (please extend):

• 📘 = Doing
• ✔️ = Completed
• 🌈 = creative
• = beginner
• 😅 = intermediate, some pre-requisites
• = advanced, many pre-requisites

• Python, SQL, R, Tensorflow,Spark, Excel

• Watch videos at 2x or 3x speed using a browser extension
• Handwrite notes as you watch for memory retention
• Immerse yourself in the community

• Microsoft: DAT206x - Analyzing and Visualizing Data with Excel RESULTS ✔️
• Microsoft: DAT101x - Introduction to Data Science RESULTS✔️

• GTx: CSE6040x - FA18: Computing for Data Analysis RESULTS ✔️
• Siraj Raval ✔️

• Harvard University: Professional Certificate in Data Science RESULTS 📘

• KhanAcademy 📘

• GTx: CSE6040x - FA18: Computing for Data Analysis RESULTS ✔️

• Statistics
• Probability
• Calculus
• Linear Algebra

• Applied Data Science with Python

  • Python for Data Science RESULTS ✔️
  • Data Analysis with Python RESULTS ✔️
  • Data Visualization with Python RESULTS ✔️
  • Machine Learning with Python RESULTS ✔️

• Columbia

• Deep Learning path from cognitive.ia IBM

  • Deep Learning Fundamentals RESULTS✔️
  • Deep Learning with TensorFlow RESULTS✔️
  • Accelerating Deep Learning with GPU RESULTS ✔️
• IBM DL0101EN - Deep Learning Fundamentals with Keras RESULTS ✔️
• IBM DL0110EN - Deep Learning with Python and PyTorch 📘
• Part 1 and 2 of DL Book
• Siraj Raval

• KhanAcademy 📘
• M001: MongoDB Basics RESULTS ✔️
• Microsoft: DAT240x Using Non-Relational Data in SQL Server 📘
• Microsoft: DAT221x Introduction to NoSQL Data Solutions RESULTS ✔️
• Modelagem de dados RESULTS ✔️
• Implementando Banco de dados RESULTS ✔️