Data professionals use a variety of data science tools, technologies and languages to help them get insights from data. Because data analysis is central to the gaining insights from data, we focus on tools that relate to analyzing data. Kaggle recently conducted a worldwide survey of nearly 20,000 data professionals (see: 2019 Kaggle ML and Data Science Survey The survey asked a variety of questions, including the tools used 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 software (20%), cloud-based data software and APIs (8%), advanced statistical software (6%) and business intelligence software (6%). Tool usage differed across different job titles.