/data-analysis-aws

Introducing basic usage of AWS

Primary LanguageJupyter NotebookMIT LicenseMIT

Data Analytics on Amazon Web Service

Introduce basic usage of Amazon Web Service (AWS) for data analysis and visualization, including python programming, data mining, data visualization and machine learning.

Video Tutorial

https://www.youtube.com/playlist?list=PLHutrxqbP1ByHc4Vyck20Jg3TSRGFEtVg

Basic Usage

  1. Link GitHub to AWS SageMaker Jupyter Notebook
  2. Create Jupyter Notebook on AWS SageMaker
  3. Facial Recognition on Raspberry Pi with AWS Rekognition
  4. Create VR Scene on AWS Sumerian
  5. Download Landsat Images from AWS
  6. Manually Create Tables in PostgreSQL
  7. Manage AWS Cloud Database in Python
  8. Hosting a Static Website on AWS
  9. QuickSight Quick Start
  10. Use AWS AppStream to Create a Virtual Lab
  11. Build a Remote Desktop with AWS WorkSpaces
  12. AWS Educate Quick Start
  13. A Simple Face Comparison Code with AWS Rekognition
  14. Host a Static Website on AWS EC2 Instances
  15. Create an AWS RDS Instance
  16. Explore and Visualize Data in AWS QuickSight
  17. Use QuickSight and Athena to Explore Data in AWS S3
  18. Explore AWS Console
  19. Host a Website with an AWS EC2 Instance
  20. Python Programming with AI
  21. Use AWS to Identify Twitter Topics and Sentiments
  22. A Serverless Dashboard to Analyze and Visualize Social Media Data in Real-time