The fact that women are underrepresented in technology roles is not a novel observation. Data science roles follow this unfortunate pattern. In the United States, women hold a mere 26% of data jobs. The data science field is booming and the rise of big data is visible almost everywhere. While data science is still new, as a society, we cannot be complacent with women making up just a quarter of the field — we need more women in data…Continue
Added by Sydney Sarachek on June 28, 2018 at 11:00am — No Comments
Blog post by Henry Hinnefield, Lead Data Scientist at Civis Analytics
In our work at Civis, we build a lot of models. Most…Continue
Chamber of Deputies is the lower house of National Congress of Brazil. It has 513 congress people, 219 of them max out their monthly spending that can be reimbursed. One congressperson gets 30 gas tanks filled every month. Two congress people have claimed 13 meals paid on the same day. These were identified by an Artificial Intelligence project - Operation Serenata de Amor. The platform has analysed more than 3 million notes and raised about 8000 cases in irregular public…Continue
Added by Samir Madhavan on April 1, 2018 at 10:00pm — No Comments
Recently my team embarked on a mission to make data more accessible and useful to everyone, creating free resources to utilise whilst studying, analyzing and interpreting data.
The first resource we created was 'Data Fallacies to Avoid', an illustrated…
Added by Tom Bransby on March 28, 2018 at 2:30am — No Comments
If you have ever wondered or still wonder what the best job in Silicon Valley is, which ranks No. 1 on Glassdoor’s best jobs in America list for 2016 and 2017, you can stop now. Also referred to as the sexiest job of the 21st century, it’s data science.
Whether you look at the salary and packages currently being offered for this job, or the rise in demand for these professionals, the numbers still look pretty impressive. According to Glassdoor, data scientists make on average $128,549…Continue
Added by Claudia Virlanuta on February 13, 2018 at 9:30am — No Comments
The world is rapidly changing thanks to digital technologies.
Business are transforming along wit it.
Join Ronald van Loon on his journey through the intelligent world, and have a deeper look into technological development that are shaping a world and transforming business.
Added by Ronald van Loon on February 6, 2018 at 9:30pm — No Comments
While the skills required or expected from data scientists can vary based on the organization or domain they work in, being a data scientist can be viewed not merely as owning a set of skills, but also as having a certain mindset. In that sense I can differentiate between passive data scientists and active data scientists.
The passive data scientists will use the data they receive, or perform basic tasks to collect data stored in one or several central sources. Once they have the…Continue
Added by Lior Shamir on November 30, 2017 at 2:00pm — No Comments
A common scenario that data analysts in general encounter is what I like to describe as "data denialism". Often, and especially while consulting, an analyst will find that the data tells a different story than what the customer holds to be true. It is also often the case that, when presenting this finding, the customer will outright deny the evidence, asserting that either the data or the analysis must be wrong. For example, it may be that a retailer focused on the…Continue
Added by Jesus Ramos on August 16, 2017 at 8:00am — No Comments
Machine learning is cool. There is no denying in that. In this post we will try to make it a little uncool, well it will still be cool but you may start looking at it differently. Machine learning is not a black box. It is intuitive and this post is just to convey that.
If I give you this function
f(x) = x^2 + log(x) and ask you to tell me what will be
f(2), you will first laugh at me and then run away to do something important. This is trivial for you,…
Deep Learning gets more and more traction. It basically focuses on one section of Machine Learning: Artificial Neural Networks. This article explains why Deep Learning is a game changer in analytics, when to use it, and how Visual Analytics allows business analysts to leverage the analytic models built by a (citizen) data scientist.
Deep Learning is the modern buzzword for artificial neural networks, one of many concepts…Continue
(Photo credit: Rob Lavinsky, iRocks.com – CC-BY-SA-3.0)
In 1945, Count ,Richard Taaffe* a Dublin gem collector, was sorting through a set of spinel gems that he had bought, and found one that…Continue
Added by Peter Bruce on March 30, 2017 at 2:30pm — No Comments
We talk a lot about making decisions based on data but we need to be careful about how hard and fast those decisions are. Our decisions are only as good as our data and our analysis.
Neither can be perfect. Data is always a sample of the full scope of reality and analytics is always an interpretation…Continue
Did you have a good, relaxing break over the summer? Are you refreshed and re-energised, looking forward to a new start, a new you and brushing up on your data analysis skills? If so, I’ve thrown together a collection of a few excellent (and free!) statistics eBooks for your Kindle to sharpen up your stats while you’re on the long commute to work. Just try not to read them while driving!
These books require different levels of existing knowledge, and while some are for…Continue
It’s been a rather quiet summer on Data Science Central with fewer blog posts being published than at other times of the year, but I guess it shouldn’t be too much of a surprise – DSC has had to compete against summer holidays, the Euro 2016 football tournament and the Rio 2016 Olympics.
Of the relatively few that have been published, there have been a few gems. At the time of writing, the 5 blog posts on this list have been read by almost 60,000 of you.
If you haven’t seen any…Continue
Added by Lee Baker on August 18, 2016 at 5:30am — No Comments
Data scientist is the ‘Sexiest Job of the 21st Century’, so say Thomas Davenport and DJ Patil in their seminal 2012 Harvard Business Review article.
Since then, data scientists have been very much in demand and their wages have soared. Compared to statisticians, computer programmers and AI guys (who are still regarded as geeks), they are extremely well paid.
I keep hearing Data Scientists say that ‘Statistics is Dead’, and they even have big debates about it attended by the good and great of Data Science. Interestingly, there seem to be very few actual statisticians at these debates.
So why do Data Scientists think that stats is dead? Where does the notion that there is no longer any need for statistical analysis come from? And are they right?
Is statistics dead or is it just pining for…Continue
This blog was originally published on the AYLIEN Text Analysis blog.
We wanted to gather and analyze news content in order to look for similarities and differences in the way two journalists write headlines for their respective news articles and blog posts. The two reporters we selected operate in, and write about, two very different industries/topics and have two very different writing…Continue
Today we are really happy to host a post from Ariadni-Karolina Alexiou or Caroline in short. Caroline is a Data Engineer, with deep expertise in Python for Data Applications, Web…Continue
Added by George Psistakis on May 20, 2016 at 3:00am — No Comments
Here are three useful resources for learning about Data Science:
Added by Ujjwal Karn on May 18, 2016 at 8:59am — No Comments
Unless you’ve recently graduated from one of the new Data Science courses that have been popping up online and in various universities around the world, then becoming a Data Scientist was most likely slightly accidental and was more about the journey than the destination.
Here’s my journey. See if you recognise any of it in your own:
I started out as a physicist and had a strong mathematical grounding, but I had a passion for medicine. After completing my bachelor’s…Continue