Welcome back to the round-up, an overview of the most interesting data science, statistics, and analytics articles of the past week. This week, we have 4 fascinating articles ranging in topics from smart data to a free data ebook. In this week's round-up:
- Turning Raw Data Into Smart Data
- A Tableau Solution To Those Excel Blues
- Tesla And The Fallacy Of Data-Driven Decisions
- Free e-book on Data Science with R
This InformationWeek article provides some data management advice from design and engineering company, Autodesk. That advice is to think beyond big data and focus on smart data. The article goes on to define what they mean by smart data and gives some examples of how companies can, and are, integrating data into their operations in order to function more intelligently and efficiently.
Data discovery and visualization software company Tableau is featured in this Forbes article. Because of its ease of use and intuitive drag-and-drop approach to visual data analysis, the article makes the case that it is a natural choice for business people looking to venture out into data analytics beyond the traditional tools they are used to using. The article goes on to describe some of the advantages companies can gain by having employees use a tool like Tableau.
This ReadWriteWeb article combines ideas from a few different sources to illustrate how data can be used to tell different stories, depending on who's viewpoint the story is coming from. The article uses a recent negative NY Times review of Tesla's new Model S electric car, a data-driven response to the review from Tesla CEO Elon Musk, and a response to Musk's data from the original Times reporter with his side of the story for each of the conclusions reached to drive home this point.
This blog post on Revolution Analytics' Revolutions blog introduces us to a free ebook called Data Science with R. The book is by Jeff Stanton from Syracuse University, and it is used for Syracuse University's Certificate in Data Science program. It is downloadable as a PDF and contains R code examples throughout.
That's it for this week. Make sure to come back next week when we’ll have some more interesting articles! If there's something we missed, feel free to let us know in the comments below.