https://github.com/flor91/da-academy
Projects and MOOCs done to become a Data Architect
https://github.com/flor91/da-academy
Last synced: 3 months ago
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Projects and MOOCs done to become a Data Architect
- Host: GitHub
- URL: https://github.com/flor91/da-academy
- Owner: Flor91
- Created: 2019-01-18T17:18:20.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-01-19T17:55:26.000Z (over 7 years ago)
- Last Synced: 2025-01-17T14:53:54.864Z (over 1 year ago)
- Language: Python
- Homepage:
- Size: 175 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# da-academy
## Semana 0:
### Linux:
https://www.edx.org/course/introduction-to-linux
### Python:
Complete Python Bootcamp: Go from zero to hero in Python 3: https://www.udemy.com/complete-python-bootcamp/
https://globant.acamica.com/cursos/485/
## Semana 1:
### Bases de Datos relacionales:
https://www.udacity.com/course/intro-to-relational-databases--ud197
https://www.udemy.com/relational-database-design/
### NoSQL:
https://globant.acamica.com/cursos/412/
https://docs.google.com/document/d/1d8DYf6F9p74Cm5hvPwo6njdGazu01y4sqZG1mmIxLWY/edit
## Semana 2:
### Data Analysis:
https://www.udacity.com/course/intro-to-data-analysis--ud170
### Intro Big Data: Hadoop (HDFS, YARN), MR
https://www.udacity.com/course/intro-to-hadoop-and-mapreduce--ud617
https://www.udemy.com/the-ultimate-hands-on-hadoop-tame-your-big-data/
## Semana 3:
### Taming Big Data with Apache Spark and Python - Hands On!
https://www.udemy.com/taming-big-data-with-apache-spark-hands-on/
## Semana 4:
### Learn GCP: Google Cloud Data Engineer Express Course!
https://www.udemy.com/learn-gcp-become-a-certified-data-engineer-express-course/
### AWS Certified Cloud Practitioner 2019
https://www.udemy.com/aws-certified-cloud-practitioner/
https://aws.amazon.com/training/course-descriptions/cloud-practitioner-essentials/
## Semana 5: Ejercicio integrador
Each course has extra questions to research and challenge exercises associated. It is not mandatory, but it is strongly recommended to complete this challenges in order to fully understand each subject.
## Additional resources:
Hadoop - The Definitive Guide - O’Reilly
Spark - The Definitive Guide - O’Reilly