Preface
About the Writer
Bakti Siregar, M.Sc., CDS works as a Lecturer at the ITSB Data Science Program. He earned his Master’s degree from the Department of Applied Mathematics at National Sun Yat Sen University, Taiwan. In addition to teaching, Bakti also works as a Freelance Data Scientist for leading companies such as JNE, Samora Group, Pertamina, and PT. Green City Traffic.
He has a strong enthusiasm for projects (and teaching) in the fields of Big Data Analytics, Machine Learning, Optimization, and Time Series Analysis, particularly in finance and investment. His core expertise lies in statistical programming languages such as R Studio and Python. He is also experienced in implementing database systems like MySQL/NoSQL for data management and is proficient in using Big Data tools such as Spark and Hadoop.
Some of his projects can be viewed here: Rpubs, Github, Website, and Kaggle
Acknowledgments
Advanced Data Science Programming plays a vital role in building scalable, reliable, and impactful data-driven solutions. This module is designed to strengthen programming capabilities beyond the basics and covers key areas such as:
- ✅ Writing modular and maintainable code through Modularization & OOP
- ✅ Leveraging APIs and data integration for diverse data sources
- ✅ Applying advanced wrangling and feature engineering to prepare high-quality datasets
- ✅ Developing predictive models and interactive visualizations for actionable insights
- ✅ Ensuring robust debugging, testing, workflow automation, and deployment for real-world use
This book is intended for learners who already possess fundamental programming knowledge and wish to advance their skills in designing, implementing, and deploying end-to-end data science solutions. I am deeply grateful to the learners, colleagues, and mentors whose engagement, feedback, and discussions enriched the development of this material. It is my hope that this book serves as both a practical reference and a roadmap for applying advanced programming techniques in data science projects across research, industry, and innovation.
Feedback & Suggestions
Your feedback is invaluable in enhancing the quality and relevance of this module. We warmly encourage readers to share their thoughts on the content, structure, clarity, and practical applicability of the materials. Suggestions for expanding the coverage—whether in advanced techniques, case studies, or tools—are highly appreciated.
With your input, we strive to continually refine this E-book into a more comprehensive and practical resource for Advanced Data Science Programming, supporting both academic and professional applications. Thank you for your active participation and contributions to the growth of this material!
For feedback and suggestions, feel free to contact:
- dsciencelabs@outlook.com
- siregarbakti@gmail.com
- siregarbakti@itsb.ac.id