WORKSHOP JUNIOR DATA SCIENTIST

Authors

  • Mega Bagus Herlambang Institut Teknologi Indonesia
  • Ni Made Sudri Institut Teknologi Indonesia
  • Linda Theresia Institut Teknologi Indonesia
  • Gadih Ranti Institut Teknologi Indonesia
  • Yasmin Mauliddina Institut Teknologi Indonesia
  • Silvia Merdikawati Institut Teknologi Indonesia
  • Aditya Maulana Institut Teknologi Indonesia
  • Dedes Bangkit Munawar Institut Teknologi Indonesia
  • Nafia Rahmah Institut Teknologi Indonesia

DOI:

https://doi.org/10.31004/cdj.v6i3.37859

Keywords:

data science, workshop, data analysis, orange platform, improvement of understanding, analytical skills

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

References

Biecek, P., & Burzykowski, T. (2019). Explanatory Model Analysis: A New Approach to Data Science. Springer

Gantz, J. F., & Reinsel, D. (2011). The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East. IDC iView

Hastie, T., Tibshirani, R., & Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd ed.). Springer

Kelleher, J. D., & Tierney, B. (2018). Data Science: A Practical Introduction to Data Science. The MIT Press

Witten, I. H., Frank, E., & Hall, M. A. (2016). Data Mining: Practical Machine Learning Tools and Techniques (4th ed.). Morgan Kaufmann

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Published

2025-06-20

How to Cite

Herlambang, M. B., Sudri, N. M., Theresia, L., Ranti, G., Mauliddina, Y., Merdikawati, S., … Rahmah, N. (2025). WORKSHOP JUNIOR DATA SCIENTIST. Community Development Journal : Jurnal Pengabdian Masyarakat, 6(3), 4616–4620. https://doi.org/10.31004/cdj.v6i3.37859

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