The 2015 O'Reilly Data Science Salary Survey
The 2015 O'Reilly Data Science Salary Survey provides insights that could significantly impact your career in data science. The video starts with a longitudinal look at what's common across the surveys O’Reilly’s done over the last three years, then moves through the latest results and the...
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| Language: | Inglés |
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O'Reilly Media, Inc
2016.
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| Edition: | 1st edition |
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| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631179306719 |
| Summary: | The 2015 O'Reilly Data Science Salary Survey provides insights that could significantly impact your career in data science. The video starts with a longitudinal look at what's common across the surveys O’Reilly’s done over the last three years, then moves through the latest results and the process for gathering and analyzing the data. The Survey’s research derives from data collected in 2015 through online surveys. It includes demographic information, time spent on various data-related tasks, and the use or non-use of 116 software tools. Data came from over 600 respondents working in a variety of industries, two-thirds of whom are based in the United States. See the industries data scientists work in and the tasks they work on Compare salaries paid to data scientists in the U.S., Asia, UK/Ireland, and the rest of Europe Compare salaries paid to data scientists in different regions of the U.S. See the salary range paid to female data scientists vs. male data scientists Learn how age, education level, and company size affect salary levels Discover the impact hours worked each week have on salary range Identify the data science tools that correlate to higher salaries Roger Magoulas is the director of market research at O'Reilly Media. Magoulas runs a team that is building an open source analysis infrastructure. He provides analysis services, including technology trend analysis, to business decision-makers at O'Reilly and beyond. In previous incarnations, Magoulas designed and implemented data warehouse projects for organizations ranging from the San Francisco Opera to the Alberta Motor Club. |
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| Item Description: | Title from title screen (viewed May 23, 2016). Date of publication from resource description page. |
| Physical Description: | 1 online resource (1 video file, approximately 59 min.) |
