I recently reached out to data professionals on LinkedIn to ask a series of questions about their work. Results from one of those polls revealed that 46% of data pros reported that they work more collaboratively with their colleagues now than before the COVID-19 pandemic. About a third of respondents indicated that they work less […]
a recent LinkedIn poll revealed that data professionals are generally dissatisfied with their company’s use of analytics in helping it gain a competitive advantage.
Results of a survey of data professionals show that about 1 out of 5 are women. Women are paid less than their male counterparts yet both women and men have similar levels of education.
Results of a worldwide survey reveal that data professionals overwhelmingly use a personal computer or laptop as their computing platform most often for their data science projects. The next most used computing platform is a cloud computing platform and a deep learning workstation. The practice of data science requires a variety of different tools and […]
A survey of over 19,000 data professionals showed that nearly 2/3rds of respondents said they analyze data to influence product/business decisions. Only 1/4 of respondents said they do research to advance the state of the art of machine learning. Different data roles have different work activity profiles with Data Scientists engaging in more different work […]
A recent survey by Kaggle revealed that data professionals used a variety of different algorithms, tools, frameworks and products to extract insights. Top algorithms were linear/logistic regression, decision trees/random forests and Gradient Boosting Machines. Top frameworks were Scikit-learn and TensorFlow. Top tools for automation were related to model selection and data augmentation. While half of […]
Below is a list of topics, answers and articles in support of a recent Tweet Chat in which I was the guest. The chat (#CXChat) was on customer experience and emerging technologies. You can read the official summary of this CXChat by Sue Duris here. I was invited as a guest in a weekly tweet […]
Analysis of usage patterns of 16 data science programming languages by over 18,000 data professionals showed that programming languages can be grouped into a smaller set (specifically, 5 groupings). That is, some programming languages tend to be used together apart from other programming languages. A few of the different groupings of languages reflect specific types […]
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