{"id":696,"date":"2019-04-29T15:12:41","date_gmt":"2019-04-29T15:12:41","guid":{"rendered":"http:\/\/mribeirodantas.xyz\/blog\/?p=696"},"modified":"2019-05-11T21:16:49","modified_gmt":"2019-05-11T21:16:49","slug":"best-links-of-the-week-16","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2019\/04\/29\/best-links-of-the-week-16\/","title":{"rendered":"Best links of the week #16"},"content":{"rendered":"Reading time: <\/span> 2<\/span> minutes<\/b><\/span><\/span>\n

Best links of the week from 22nd April to 28th April<\/h3>\n\n\n\n
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You can check this comic here<\/a><\/figcaption><\/figure><\/div>\n\n\n\n

Links<\/h4>\n\n\n\n
  1. Do more with R: drag-and-drop ggplot<\/a> at InfoWorld<\/a>.<\/li>
  2. Apart from esquisse<\/em>, the package mentioned in the link above, there is another one that allows you to drag-and-drop and plot your data: ggplotAssist<\/a>.<\/li>
  3. DreamRs<\/a> is a French R consulting firm. In their website<\/a>, they have made publicly available some shiny apps on real data, such as RATP traffic<\/a> and a GitHub dashboard<\/a>.<\/li>
  4. VCs just invested $8 million into this startup that gave away its software for free because they noticed how much people loved it!<\/a><\/li>
  5. Cheat Sheets<\/a> for several softwares and concepts related to Data Science at Asif Bhat GitHub<\/a>.<\/li>
  6. Data Science must read articles, tutorials and useful links<\/a> at Asif Bhat GitHub<\/a>.<\/li>
  7. Math required for Data Science<\/a> at Asif Bhat GitHub<\/a>.<\/li>
  8. Quick overview of Statistics for Biologists<\/a> (it’s useful for pretty much everybody, you don’t say no to an offer of knowledge :-).<\/li>
  9. How can I show the intermediate steps of a long routine in R?<\/a> at StackOverflow<\/a>.<\/li>
  10. ‘Friendly’ reviewers rate grant applications more highly<\/a> at Nature<\/a>.<\/li>
  11. Calm down, everyone. Keeping dead pig cells alive is not ‘brain resuscitation\u2019<\/a> at Los Angeles Times<\/a>.<\/li>
  12. Uber is sharing publicly some data<\/a>!<\/li>
  13. Need help on choosing the right visualization method? From data-to-viz<\/a> can help you!<\/li>
  14. IBM releases Diversity in Faces, a dataset with over 1 million annotated images to help fight bias<\/a> at Turing Tribe<\/a>.<\/li>
  15. At\u00e9 2030, AI contribuir\u00e1 em mais de US$ 15,7 trilh\u00f5es para economia global<\/a> at Computer World<\/a>.<\/li>
  16. A extraordin\u00e1ria cientista que estudou o c\u00e9rebro de Einstein e revolucionou a neuroci\u00eancia moderna<\/a> at \u00c9poca Neg\u00f3cios<\/a>.<\/li>
  17. TerraBrasilis,<\/a> a open access public geographical data for environmental monitoring.<\/li><\/ol>\n\n\n\n\n\n\n\n

    Blog\/posts<\/h4>\n\n\n\n
    1. Keep Google’s hands off your cash with a cost effective approach to BigQuery<\/a> at Scott Edenbaum’s LinkedIn<\/a>.<\/li>
    2. RStudio\u2019s multiple cursors rule!<\/a> by Hello, world!My name is Justin<\/a> at R-bloggers<\/a>.<\/li>
    3. Who knew about radiation sickness, and when?<\/a> at The Nuclear Secrecy Blog<\/a>.<\/li>
    4. The most desired skill in data science<\/a> at KDnuggets<\/a>.<\/li>
    5. Projects to Include in a Data Science Portfolio<\/a> at KDnuggets<\/a>.<\/li>
    6. Est\u00e1gio em Ci\u00eancia de Dados na sa\u00fade com Python<\/a> at Fabiano Filho’s Medium<\/a>.<\/li>
    7. O Princ\u00edpio de Peter<\/a> by Pedro Carboni<\/a> at New Order Medium<\/a>.<\/li>
    8. Quem tem medo de virar cientista de dados? (1\/3)<\/a> by Gustavo Coelho<\/a> at Data Bootcamp<\/a>.<\/li>
    9. Quem tem medo de virar cientista de dados? (2\/3)<\/a> by Leticia Portella<\/a> at Pizza de Dados Medium<\/a>.<\/li>
    10. Conquiste seu primeiro emprego em Data Science<\/a> at Jones Madruga’s Medium<\/a> <\/li><\/ol>\n\n\n\n

      Videos<\/h4>\n\n\n\n
      1. <\/a>5 Tips For Getting A Data Science Job<\/a> at Joma Tech YouTube channel<\/a>.<\/li>
      2. 15 Psychological Facts That Will Blow Your Mind!<\/a> at TopThink YouTube channel<\/a>.<\/li>
      3. Qualquer Caminho Escolhido Ser\u00e1 Dif\u00edcil<\/a> at Saber Filos\u00f3fico YouTube channel<\/a>.<\/li>
      4. O poder de desafiar o n\u00e3o (TEDx S\u00e3o Paulo)<\/a> by Joana Felix at TEDx Talks<\/a>.<\/li><\/ol>\n\n\n\n

        Positions available<\/h4>\n\n\n\n
        1. <\/a>Engenheiro de Dados<\/a> at PlayKids.<\/li>
        2. Senior Software Developer<\/a> at Bold Commerce.<\/li>
        3. VP of Software Technologies (Software Eng + AI)<\/a> at ETQ Labs.<\/li>
        4. Software Engineer (AI)<\/a> at Facebook.<\/li>
        5. Software Engineer, PhD, University Graduate (2019)<\/a> at Google.<\/li>
        6. Researcher \/ Data Scientist<\/a> at Hitachi Europe.<\/li>
        7. Research Software Engineer in Data Science<\/a> at Uber.<\/li>
        8. Data\/Software Engineer (H\/F)<\/a> at Trade Lab.<\/li>
        9. Big Data \u2013 Cloudera \/ Qlik Sense<\/a> at Beijaflore Brasil.<\/li>
        10. Consultor Big Data – SCALA<\/a> at Beijaflore Brasil.<\/li>
        11. Engenheiro(a) de Dados<\/a> at Conta Azul.<\/li>
        12. Data Engineer<\/a> at Amazon.<\/li>
        13. Data Engineer<\/a> at QuintoAndar.<\/li>
        14. Lead of Data Analytics<\/a> at QuintoAndar.<\/li>
        15. Data & Analytics<\/a> at QuintoAndar.<\/li>
        16. ANL. Cientista de Dados Sr.<\/a> at UOL.<\/li>
        17. Analista de Dados (Data Analytics)<\/a> at Afilio S.A.<\/li><\/ol>\n