While data scientists have many resources in their tool belt, our research shows that proficiency with data mining and visualization tools consistently ranks as one of the most important skills in determining project success. We used two methods to rank data science skills. The first way was based on the frequency with which professionals possessed the skills. This method identified data […]
In our Big Data world, we are awash in data. We have a lot of it. It comes at us quickly. And it comes in different forms. Those three Vs (i.e., Volume, Velocity and Variety) represent significant hurdles to businesses in their race to extract value from their data. Each of those hurdles have been removed […]
As part of my series on Making Sense of Our Big Data World, today’s post is on sampling error. See the overview, Making Sense of Our Big Data World: Statistics for the 99%, to understand the importance and value of understanding statistics and statistical thinking. This Big Data world is defined by the enormous amount […]
Based on a study of 620+ data professionals, we found that data science skills fall into three broad areas: domain expertise (in our case, business), technology/programming and math/statistics. I discuss the implications of study findings for current data scientists, would-be data scientists and the recruiters who try to find them. Data science is our ability to extract […]
Last week, I identified the top skills across different data science professionals. The results of our survey of 620+ data professionals showed that, while data scientists possess many different skills (we looked at 25 skills), some skills are more popular/common to data scientists compared to other skills. For example, the top two skills were communication and […]
The practice of data science requires skills that fall into three general areas: business acumen, computer technology/programming and statistics/math. Depending on whom you ask, the specific set of top skills varies. Dave Holtz describes the data science skills you need to get a job as a data scientist (8 Skills You Need to Be a Data Scientist). […]
I’ve counted the pageviews of each of my 2015 blog posts and present them here in my end-of-year summary. This year, I wrote a lot about my research in the areas of data science; this research focused on the meaning of data science and how organizations can best leverage their data. Additionally, I conducted and […]
The value of data is measured by what you do with it, and organizations are relying on data scientists to extract that value. I recently conducted a survey of data professionals to better understand what it means to be a data scientist. I discovered a few things that can help organizations optimize the value of their data. While […]
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