PREFACE: DATA SCIENCE EDUCATION.
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- Foundations of Data Science, 2023, v. 5, n. 2, p. i, doi. 10.3934/fods.2023005
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Works matching IS 26398001 AND DT 2023 AND VI 5 AND IP 2
Results: 6
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TEACHING DATA SCIENCE TO STUDENTS IN BIOLOGY USING R, RSTUDIO AND LEARNR: ANALYSIS OF THREE YEARS DATA.
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- Foundations of Data Science, 2023, v. 5, n. 2, p. 266, doi. 10.3934/fods.2022022
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- Article
3
FACILITATING TEAM-BASED DATA SCIENCE: LESSONS LEARNED FROM THE DSC-WAV PROJECT.
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- Foundations of Data Science, 2023, v. 5, n. 2, p. 244, doi. 10.3934/fods.2022003
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- Article
4
ADDRESSING CONFIRMATION BIAS IN MIDDLE SCHOOL DATA SCIENCE EDUCATION.
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- Foundations of Data Science, 2023, v. 5, n. 2, p. 223, doi. 10.3934/fods.2021035
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- Article
5
FACILITATING API LOOKUP FOR NOVICES LEARNING DATA WRANGLING USING THUMBNAIL GRAPHICS.
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- Foundations of Data Science, 2023, v. 5, n. 2, p. 199, doi. 10.3934/fods.2021032
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- Article
6
EVALUATION OF EDISON'S DATA SCIENCE COMPETENCY FRAMEWORK THROUGH A COMPARATIVE LITERATURE ANALYSIS.
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- Foundations of Data Science, 2023, v. 5, n. 2, p. 177, doi. 10.3934/fods.2021031
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- Article