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 education to data-driven organizations. In this week's round-up:
- Universities Offer Courses in a Hot New Field: Data Science
- Data Science: The End of Statistics?
- How Do You Create a Data-Driven Organization?
- Tell Better Data Stories with Motion and Interactivity
This is a NY Times article about how more and more schools are now offering degrees in data science. The article explains that the demand for these skills has been growing rapidly in the last few years and that schools are adapting their curriculum to the demands of the market. The author provides quotes from faculty at several of the universities mentioned in the article and also some details about the content of some of the programs at these schools.
This was an interesting blog post posing questions about why statistics is sometimes left out of the data science hype. The author takes a shot at briefly proposing answers, but at the end solicits answers from the readers. The comments section of this post is excellent and well worth reading, with several folks with a wide range of experience chiming in to help answer the questions and shed some more light on this topic.
This is an excellent blog post about how to create a data driven organization. The author just switched jobs to a company where he needs to overhaul how data is collected, stored, analyzed, and reported; and in this post he walks the reader through his thoughts on doing that and the steps he is taking to get all this done. The process includes information gathering and learning about the business, training, infrastructure, metrics, and reporting mediums. Each of these parts has sub-sections with comments and considerations.
This is a Harvard Business Review article about using motion and interactivity as tools when visualizing data over time. The article has several videos embedded in it that serve as examples and help further explain how these tools can be effective. At the end, the author provides three valuable takeaways when putting visualizations together yourself.
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.