WORKSHOP JUNIOR DATA SCIENTIST

The Junior Data Scientist Workshop, conducted on August 25, 2024, was designed to introduce participants to foundational concepts in Data Science and essential data analysis tools, with a focus on the Orange platform. Five students with a keen interest in data science attended the event. The workshop utilized a blend of theoretical instruction and practical application, guiding participants through key processes such as data cleaning, statistical analysis, and data visualization. Post-workshop evaluations indicate that 85% of participants demonstrated a marked improvement in their understanding of Data Science concepts and methods. Despite the participants’ successful application of analysis techniques, several challenges were noted in comprehending complex statistical principles, suggesting a potential benefit from supplementary instructional sessions. This workshop has contributed significantly to advancing participants’ data literacy and analytical competencies, equipping them with critical skills essential for data-driven decision-making

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Publication Details

Journal
Community Development Journal Jurnal Pengabdian Masyarakat
Published
2025-06-20
DOI
https://doi.org/10.31004/cdj.v6i3.37859
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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WORKSHOP JUNIOR DATA SCIENTIST

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Community Development Journal Jurnal Pengabdian Masyarakat
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WORKSHOP JUNIOR DATA SCIENTIST

Linda Theresia, Ni Made Sudri, Arris Maulana, Gadih Ranti, Yasmin Mauliddina, Mega Bagus Herlambang, Silvia Merdikawati, Dedes Bangkit Munawar, Nafia Rahmah
article en

Abstract

The Junior Data Scientist Workshop, conducted on August 25, 2024, was designed to introduce participants to foundational concepts in Data Science and essential data analysis tools, with a focus on the Orange platform. Five students with a keen interest in data science attended the event. The workshop utilized a blend of theoretical instruction and practical application, guiding participants through key processes such as data cleaning, statistical analysis, and data visualization. Post-workshop evaluations indicate that 85% of participants demonstrated a marked improvement in their understanding of Data Science concepts and methods. Despite the participants’ successful application of analysis techniques, several challenges were noted in comprehending complex statistical principles, suggesting a potential benefit from supplementary instructional sessions. This workshop has contributed significantly to advancing participants’ data literacy and analytical competencies, equipping them with critical skills essential for data-driven decision-making

Community Development Journal Jurnal Pengabdian MasyarakatVol. 6(3)
Institut Teknologi Indonesia (ID)
Openalex Percentile: Top 64%
Big Data and Business Intelligence
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