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Weekly Round-Up: Data Presentation, Ensemble Learning, Asking Why, and Tableau IPO

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 data presentation to ensemble learning. In this week's round-up:

  • How P&G Presents Data to Decision-Makers
  • The Three Cardinal Virtues of Ensemble Learning
  • Why? Why? Why! A Lesson for Data Science Teams
  • Tableau Files For IPO

How P&G Presents Data to Decision-Makers

This Harvard Business Review article gives an interesting inside look at some of the ways Proctor and Gamble presents information internally about the performance of its business units. Emphasis is placed on presenting data in ways that help establish a visualization language within the company so that decision-makers can instantly understand what it is they are looking at and what it means, as this speeds up the time it takes to make strategic and tactical decisions. The article goes on to describe in more detail how the company does this and provides some examples of the types of visualizations they use and what tools they used to implement these processes.

The Three Cardinal Virtues of Ensemble Learning

I'm a big fan of learning resources that take complex topics, break them down, and explain them in ways that ordinary people can understand. And that's what the folks over at BigML have done with this post about ensemble learning. In the post, they try to explain why ensemble learning is beneficial versus running single machine learning models. The author breaks the explanation down into three virtues - Temperance, Prudence, and Fortitude - and uses each of these to explain different aspects of ensemble methods. For those looking for more in-depth literature, the post also contains a link to a more academic paper on this particular subject.

Why? Why? Why! A Lesson for Data Science Teams

This is an interesting O'Reilly article advocating data science teams asking the right questions in order to discover what's really needed when working on a business problem. The article provides some guidance on how you can do this. The authors also cite a couple examples from their own experiences where what the company they were working for really needed was significantly different than what they had initially asked for, and they describe how it took a lot of necessary question-asking to get to the root of what was required.

Tableau Files For IPO

Earlier this week, Tableau - the data visualization and discovery software company - filed for an initial public offering (IPO). Tableau has been growing rapidly over the last few years, and this announcement confirms their intent to continue that growth with the influx of capital the IPO will give them. This Forbes article provides some additional details about the IPO and some background on the company.

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.

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Weekly Round-Up: Smart Data, Tableau, Tesla, and a Free Data Science Ebook

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

Turning Raw Data Into Smart Data

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.

A Tableau Solution To Those Excel Blues

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.

Tesla And The Fallacy Of Data-Driven Decisions

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.

Free e-book on Data Science with R

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.

Read Our Other Round-Ups