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10- Data Mining / Main Shift

Institution: Pontifical Catholic University of São Paulo (PUC-SP)
School: Faculty of Interdisciplinary Studies
Program: Humanistic AI and Data Science Semester: 2nd Semester 2025
Professor: Professor Doctor in Mathematics Daniel Rodrigues da Silva

Important

⚠️ Heads Up

• Projects and deliverables may be made publicly available whenever possible.
• The course emphasizes practical, hands-on experience with real datasets to simulate professional consulting scenarios in the fields of Data Analysis and Data Mining for partner organizations and institutions affiliated with the university.
• All activities comply with the academic and ethical guidelines of PUC-SP.
• Any content not authorized for public disclosure will remain confidential and securely stored in private repositories.

🎶 Prelude Suite no.1 (J. S. Bach) - Sound Design Remix

Statistical.Measures.and.Banking.Sector.Analysis.at.Bovespa.mp4

📺 For better resolution, watch the video on YouTube.

Tip

This repository is a review of the Statistics course from the undergraduate program Humanities, AI and Data Science at PUC-SP.

☞ Access Data Mining Main Repository

If you’d like to explore the full materials from the 1st year (not only the review), you can visit the complete repository here.

Bibliography

1. Castro, L. N. & Ferrari, D. G. (2016). Introduction to Data Mining: Basic Concepts, Algorithms, and Applications. Saraiva.

2. Ferreira, A. C. P. L. et al. (2024). Artificial Intelligence – A Machine Learning Approach. 2nd Ed. LTC.

3. Larson & Farber (2015). Applied Statistics. Pearson.

Complementary Bibliography

• THOMAS, C. Data Mining. IntechOpen, 2018.
• HUTTER, F.; KOTTHOFF, L.; VANSCHOREN, J. Automated Machine Learning: Methods, Systems, Challenges. Springer Nature, 2019.
• NETTO, A.; MACIEL, F. Python para Data Science e Machine Learning Descomplicado. Alta Books, 2021.
• RUSSELL, S. J.; NORVIG, P. Artificial Intelligence: A Modern Approach. GEN LTC, 2022.
• SUD, K.; ERDOGMUS, P.; KADRY, S. Introduction to Data Science and Machine Learning. IntechOpen, 2020.

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