Most Popular Slideshare Presentations on Data Science
Top SlideShare data science presentations provide a unique view on topics like data science management, using Python and NumPy in your data science project, and leveraging data science for enterprise big data.
By Grant Marshall, Nov 2014.
Slideshare is a platform for uploading, annotating, sharing, and commenting on slide-based presentations. The platform has been around for some time, and has accumulated a great wealth of presentations on technical topics like Data Science.
Today, we will look at some of these top "Data Science" presentations found on SlideShare. Similar to how we collected data for the previous post, these presentations were retrieved by using a Python script and the Slideshare search_slideshow API, and then hand-curated to select the best, most relevant presentations. The slideshows and their associated metrics are shown below:
Some quick stats: the average views, downloads, favorites, and comments for a slideshow in this category are approximately 20000, 165, 29, and 2 respectively. Comparing these figures to those of the data science slides, we see lower numbers across the board. This is partially because many big slideshows in with the data science tag were actually more data mining oriented, and subsequently filtered out of this list. By doing this, many of the most viewed slideshows were eliminated.
Looking at the publication dates of these presentations, it’s interesting to note that 2013 is the most commonly occurring date. Considering the fact that SlideShare has been around since its launch eight years ago, this indicates that in recent years, data science has been increasing in popularity, making new presentations more popular.
Related:
Slideshare is a platform for uploading, annotating, sharing, and commenting on slide-based presentations. The platform has been around for some time, and has accumulated a great wealth of presentations on technical topics like Data Science.
Figure 1: Tags related to Data Science on SlideShare
This visualization of the tags associated with the tag “data science” on SlideShare illustrates the essential interactions between data science, big data, and open datasets.Today, we will look at some of these top "Data Science" presentations found on SlideShare. Similar to how we collected data for the previous post, these presentations were retrieved by using a Python script and the Slideshare search_slideshow API, and then hand-curated to select the best, most relevant presentations. The slideshows and their associated metrics are shown below:
Some quick stats: the average views, downloads, favorites, and comments for a slideshow in this category are approximately 20000, 165, 29, and 2 respectively. Comparing these figures to those of the data science slides, we see lower numbers across the board. This is partially because many big slideshows in with the data science tag were actually more data mining oriented, and subsequently filtered out of this list. By doing this, many of the most viewed slideshows were eliminated.
Looking at the publication dates of these presentations, it’s interesting to note that 2013 is the most commonly occurring date. Considering the fact that SlideShare has been around since its launch eight years ago, this indicates that in recent years, data science has been increasing in popularity, making new presentations more popular.
Figure 2: Data Science Presentation Downloads vs. Views
Note that most of the presentations with 0 downloads have downloads disabled. There is an interesting lack of correlation between the number of views on a particular presentation and the download count. It seems that there are certain types of presentations that elicit downloads that aren’t necessarily more/less popular than those that do not. It seems instructive presentations, Intro to Data Science for Enterprise Big Data for example, seem to encourage downloads, perhaps for offline studying.Related: