Guest blog post by vHomeInsurance.

Spatial Visualization Using R: One of the less understood aspects of R is in spatial data visualization. The below article will outline two case studies on using R to spatially visualize data.

Case Study 1: Using Census Data & Chloropeth R

Our first step is figuring out how to use the Census API within R. Given…

The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday. 

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• Learn Data Science in 12 weeks at …

This is an update to our December 2013 article: 6000 companies hiring data scientists.  Microsoft and IBM still dominate, but we've seen some shift over the last 12 months:

• Accenture, Google and Cognizant are gaining traction, but overall, rankings for top companies have barely changed
• The top 20 companies now amount to 7.5% of data scientists, versus 10%…

Here is my selection of time-insensitive best articles, that were viewed more than a thousand times each, in 2014. 

Single-starred articles are written by external/guest bloggers. Our upcoming book on data science 2.0  will be based on some of these (edited and…

The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday. 

Sponsored Announcement…

For any data science project, if you start with the wrong question, you are bound to end up with the wrong answer, and fail. Who should identify the right question? I believe data scientists should be involved in the process, otherwise, they will be held responsible for the failure.

CDC headquarters in Druid Hills,…

Guest blog post by Bernard Marr.

In my last post, I explained the difference between what I consider the two core types of data scientist – strategic and operational.

Broadly speaking, they require many of the same skillsets – but the distribution of your expertise and experience within these skillsets will vary, depending on whether…

The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday. 

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• Bigdata Analytics and Supply chain management *…

This picture below represents a piece of paper where I wrote down my ideas for new articles, in the last few days, when making my 10 am tea pause. The tea kettle leaked on the sheet, slowly creating the brown stain. Many of my previous ideas were written with a purple pen, creating the purple stains. 

What is amazing is the very realistic fractal shape of the…

Guest blog by Cesar Brea, founding managing partner of Boston-based Force Five Partners, LLC, a marketing and sales analytics consulting firm. He is also the author of Marketing and Sales Analytics (Pearson FT Press, 2014).

Today’s case studies about data-driven marketing present stories of leaders and their successes. After all, history is written by the winners…

Guest blog post by Bernard Marr

The biggest threat to your job might come from an unexpected place. I believe that there is a hidden assassin lurking in the background waiting to finish you off in your job. Let’s face it; job security is high on everyone’s wish list right now, especially at times of economic hardship when it might not be so easy to quickly find another one.

So how secure is your job? Where is this hidden threat coming from and how can you put yourself…

The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday. 

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• 7 Traps to Avoid Being Fooled by Statistical Randomness * - By Kirk…

Guest blog post by Bernard Marr.

It depends entirely on how broadly you categorize them. In reality, of course – there are as many “types” of data scientist as there are people working in data science. I’ve worked with a lot, and have yet to meet two who are identical.

But what I have done here is separate data scientists into groups, containing individuals who share similar skills, methods, outlooks and responsibilities. Then I grouped those groups together, again and…

Interesting article posted recently by Ferris Jumah, Data and Products guy at LinkedIn. The author concludes that data scientists typically do the following:

• Approach data with a mathematical mindset
• Use a common language to access, explore and model data
• Develop strong computer science and software engineering backgrounds

My belief…

The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday. 

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• Learn Data Science in 12 weeks at SlideRule's Intro to Data Science Workshop. In this online…