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Salaries of Data Scientists and Machine Learning Engineers From Around the World
Annual salaries for data scientists and machine learning engineers vary significantly across the world. Based on a 2017 Kaggle survey of data professionals, countries with the highest paid data...
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Data Science Reveals 3 Problems with the NPS Dogma
The Net Promoter Score (NPS), a metric used to gauge the health of the customer relationship, has been used by companies for years. By applying data science principles to understanding the research...
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Microsoft Imagine Cup Winner: smartARM from Canada
Microsoft’s Imagine Cup student competition was held this week in Seattle (read about Day 1 and Day 2). On Day 3 of the competition, the set of judges awarded the championship title to smartARM, a...
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Data Science and the Quest for Truth
I was interviewed by IBM to share my thoughts on a topic related to data science about which I’m passionate: How do we know what we know and, once we know it, how do we know it’s the truth? IBM turned...
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Programming Languages Most Used and Recommended by Data Scientists
The practice of data science requires the use of analytics tools, technologies and programming languages to help data professionals extract insights and value from data. A recent survey of nearly...
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Top Cloud Computing Products and Services Used by Data Scientists
A recent survey revealed that 69% of data pros have used at least one cloud computing product in the last 5 years while 62% of data pros have used at least one cloud computing service in the last 5...
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How do Data Professionals Spend their Time on Data Science Projects?
Data science projects require data professionals to devote their energy toward different activities toward project completion. Results of a recent study of over 23,000 data professionals found that...
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Usage of Programming Languages by Data Scientists: Python Grows while R Weakens
The practice of data science, including work in machine learning and artificial intelligence, requires the use of analytics tools, technologies and programming languages. A recent survey of nearly...
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Most Popular Integrated Development Environments (IDEs) Used by Data Scientists
Results of a worldwide survey of data professionals, the top used Integrated Development Environments (IDEs) are: Jupyter (73% have used), Visual Studio (31%), RStudio (30%), PyCharm (29%) and...
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Top Tools Used by Data Professionals to Analyze Data
Analysis of usage of 5 primary tools used to analyze data showed that the top tool used by data professionals to analyze data are local development environments (54%), followed by basic statistical...
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