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

Data Science Programming is a crucial skill in analyzing and processing large-scale data. This module covers essential programming techniques for data science, including:

  • ✅ A solid foundation in Python and R programming
  • ✅ The ability to manipulate, analyze, and visualize data effectively
  • ✅ A deep understanding of how domain knowledge enhances data analysis
  • ✅ Practical skills to apply Data Science techniques in real-world scenarios

This book are designed for beginners who aim to build a strong foundation in Data Science Programming while appreciating the critical role of domain expertise. 🚀

I appreciate the active participation of learners, whose questions and discussions enriched the training experience. I hope this material serves as a practical guide for applying programming in data science projects.

Feedback & Suggestions

Your feedback is essential in improving this module. We invite all participants to share their thoughts on the content, structure, and clarity of the materials. Suggestions for additional topics or areas requiring further explanation are highly appreciated.

With your support and contributions, we aim to refine this E-book, making it a more comprehensive resource for Data Science Programming. Thank you for your participation!

For feedback and suggestions, feel free to contact:

  • dsciencelabs@outlook.com
  • siregarbakti@gmail.com
  • siregarbakti@itsb.ac.id