How do university training and subsequent practical experience affect expertise in data science? to answer this question we developed methods to assess data science knowledge and the competence to formulate answers, construct code to problem solve, and create reports of outcomes. in the cross-sectional study, undergraduate students, trainees in a certified postgraduate data science curriculum, and data scientists with more than 10 years of experience were tested (100 in total: 20 each of novice, intermediate, and advanced university students, postgraduate trainees, and experienced data scientists).
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English, 21.06.2019 18:00
What words or phrases you to recognize the historical context of the line 7
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English, 21.06.2019 20:00
Read the excerpt from a history of the world in 100 objects. power is usually not willingly given, but forcefully taken; and in both europe and america the nineteenth century was punctuated by political protest, with periodic revolutions on the continent, the civil war in america and, in britain, a steady struggle to widen the suffrage. what would be a benefit of reading this text rather than listening to an audio version of it? the reader could analyze the text features in the excerpt. the reader could visualize the description given. the reader could set his or her own pace and reread parts for clarity. the reader could hear the sounds of the political protest.
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English, 21.06.2019 22:20
What is similar about a satire and a parable? o a. both are based on a previous work. o b. both attempt to persuade an audience. o c. both use humor to entertain an audience. o d. both are very short in length.
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How do university training and subsequent practical experience affect expertise in data science? to...
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