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L.V.'s Blog – November 2015 Archive (7)

The Data Science Industry: Who Does What

Interesting infographics produced by DataCamp.com, an organisation offering R and data science training. Click here to see the original version. I would add that one of the core competencies of the data scientist is to automate the process of data analysis, as well as to create applications that run automatically in the background, sometimes in…

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Added by L.V. on November 17, 2015 at 5:30pm — No Comments

Can you learn data science on the job?

Since data scientist is a senior job title that comes with significant experience, even expertise, how can you become a data scientist fresh out of college, or from Coursera classes, or from some data science boot camp?

I believe you indeed learn data science on the job. Employers have been fooled into hiring people with R, Python, SQL, NoSQL, some outdated statistical knowledge, and little work on a small academic data project - who claim to be data scientists. There's even…

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Added by L.V. on November 8, 2015 at 9:30am — 2 Comments

600 websites about R

Anyone interested in categorizing them? It could be an interesting data science project, scraping these websites, extracting keywords, and categorizing them with a simple indexation or tagging algorithm. For instance, some of these blogs cater about stats, or Bayesian stats, or R libraries, or R training, or visualization, or anything else. This indexation technique…

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Added by L.V. on November 7, 2015 at 2:30pm — 2 Comments

Top R articles of the week

From external sources. For more articles, click here. The chart below is from the article flagged with a +.

  1. What’s the probability that a significant p-value indicates a true effect? - If the p-value is < .05,…
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Added by L.V. on November 7, 2015 at 2:00pm — No Comments

10 great books about R

Books about the R programming language fall in different categories:

  • Learning R
  • Reference books for the professional R programmer
  • Books about data science or visualization, using R to illustrate the concepts

Books are a great way to learn a new programming language. Code samples is another great tool to start learning R, especially if you already use a different…

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Added by L.V. on November 6, 2015 at 8:30am — 3 Comments

6 stages of debugging

Most data scientists spend some amount of time coding in R, Python, SQL or other languages. Because these programming languages (unlike Perl) are not flexible, your code will always get syntax bugs, until someone improve these languages to the point that source code self-correct before executing. Algorithm bugs  - as opposed to syntax errors - are of course much more challenging. 

Anyway, enjoy this funny T-Shirt available…

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Added by L.V. on November 1, 2015 at 2:30pm — No Comments

20 Stupid Claims About Big Data

Another great article by Bernard Marr. Bernard Marr is a best-selling business author, keynote speaker and consultant in strategic performance, analytics, KPIs and big data.  He is one of the world's most highly respected voices anywhere when it comes to data in business. His leading-edge work with major companies, organisations and governments across the globe makes him a globally acclaimed and…

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Added by L.V. on November 1, 2015 at 2:30pm — No Comments

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