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Removendo links do datacamp

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leportella committed Apr 17, 2019
1 parent 177435c commit 5207e6bd50418b336798f35ffd0861c55258e276
Showing with 0 additions and 10 deletions.
  1. +0 鈭1 topicos/blogs-jornais.md
  2. +0 鈭7 topicos/cursos.md
  3. +0 鈭1 topicos/noticias-legais.md
  4. +0 鈭1 topicos/podcasts.md
@@ -14,7 +14,6 @@
- [Stack Overflow](https://stackoverflow.blog/tags/data)
- [Moz](https://moz.com/devblog/category/data-science)
- [欧hat](http://blog.yhat.com)
- [DataCamp](https://www.datacamp.com/community/blog)
- [Dataquest](https://www.dataquest.io/blog)
- [OpenAI](https://blog.openai.com/)
- [Big Data Business](http://www.bigdatabusiness.com.br) | [**pt-br**]
@@ -67,13 +67,6 @@ Cursos oferecidos pela plataforma [edx.org](https://www.edx.org/).
- [Introdu莽茫o 脿 Ci锚ncia de Dados](https://br.udacity.com/course/intro-to-data-science--ud359/)
- [Intro to Relational Databases](https://br.udacity.com/course/intro-to-relational-databases--ud197/)

### DataCamp
- [Data Scientist with Python - Track](https://www.datacamp.com/tracks/data-scientist-with-python)
- [Data Analyst with Python - Track](https://www.datacamp.com/tracks/data-analyst-with-python)
- [Data Scientist with R - Track](https://www.datacamp.com/tracks/data-scientist-with-r)
- [Data Analyst with R - Track](https://www.datacamp.com/tracks/data-analyst-with-r)
- [Quantitative Analyst with R - Track](https://www.datacamp.com/tracks/quantitative-analyst-with-r)

### Dataquest.io
- [Data Scientist - Path](https://www.dataquest.io/path/data-scientist)
- [Data Analyst - Path](https://www.dataquest.io/path/data-analyst)
@@ -33,7 +33,6 @@

<h2 id="ferramentas">Ferramentas</h2>

* [Jupyter Notebook Tutorial: The Definitive Guide](https://www.datacamp.com/community/tutorials/tutorial-jupyter-notebook#gs.4lsldtI)
* [10 dicas para mudar do Matlab pro Python](http://leportella.com/pt-br/2017/05/06/10-dicas-matlab-para-python.html) | [**pt-br**]


@@ -13,7 +13,6 @@
- [Data Engineering Podcast](https://www.dataengineeringpodcast.com/)
- [Data Skeptic](https://dataskeptic.com/)
- [Data Stories](http://datastori.es/)
- [DataFramed](https://www.datacamp.com/community/podcast)
- [Learning Machines 101](https://www.learningmachines101.com/)
- [Linear Digressions](http://lineardigressions.com/)
- [Not So Standard Deviations](http://nssdeviations.com/)

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