Name: Advanced Data Modeling and Forecasting with Python
Author: Shouke Wei

Advanced Data Modeling and Forecasting with Python

Time Series, Advanced Modeling, and Real-World Systems

This book extends data modeling and machine learning into more complex and realistic settings.

Building on foundational workflows, this book introduces advanced techniques for handling temporal data, uncovering hidden structure, addressing real-world data challenges, and deploying models into production environments.

Rather than focusing on isolated methods, it presents a unified perspective on designing, evaluating, and maintaining complete data science systems.

📊 What you will learn:

Analyze and forecast time series data using statistical and machine learning approaches
Discover structure in data through clustering and representation learning
Handle imbalanced and noisy datasets in practical scenarios
Combine models using advanced and hybrid modeling techniques
Deploy models using APIs and production pipelines
Monitor performance, detect drift, and maintain models over time
Apply advanced modeling techniques to business and financial problems

This book is designed for readers ready to move from building models to developing reliable, scalable, and production-ready data science solutions.

📖 Read Sample

Buy Print Copy

Citation:

Wei, Shouke. 2026. Advanced Data Modeling and Forecasting with Python: Time Series, Advanced Modeling, and Real-World Systems. 1st ed. Abbotsford, BC: Deepsim Press. https://doi.org/10.5281/zenodo.20043592.

@book{Wei2026datamodel,
  author    = {Wei, Shouke},
  title     = {Advanced Data Modeling and Forecasting with {Python}: Time Series, Advanced Modeling, and Real-World Systems},
  edition   = {1st},
  publisher = {Deepsim Press},
  address   = {Abbotsford, BC},
  year      = {2026},
  doi       = {10.5281/zenodo.20043592},
  url       = {https://press.deepsim.ca},
  isbn      = {978-1-0675592-6-7},
  note      = {Also available in hardcover (978-1-0675592-7-4) and paperback (978-1-0675592-8-1) editions.}
}

Publication Details

Author: Shouke Wei
Publisher: Deepsim Press
Series: Practical Data Science with Python
Format: PDF (Digital)
Edition: First edition
Print length: 543 pages
Item Weight: PDF14.7 MB (15,463,975 bytes)
Dimensions: 7.24 x 1.35 x 10.24 inches
Language: English
ISBN: 978-1-0675592-6-7 (eBook) | 978-1-0675592-7-4 (Hardcover) | 978-1-0675592-8-1 (Paperback)
DOI: 10.5281/zenodo.20043592
Publication date: 06/05/2026
Book 3 of 3: Practical Data Science with Python

About the Author

Shouke Wei

Shouke Wei, PhD, is a researcher, scientist, and entrepreneur specializing in intelligent IoT systems, robotics, big data analytics, modeling and forecasting, early-warning systems, and edge computing. With academic and industry experience across Europe, North America, and Asia, Dr. Wei is recognized for bridging advanced theory with real-world, production-ready systems.

Dr. Wei earned his Ph.D. in Environmental and Resource Management from the Department of Environmental Informatics at Brandenburg University of Technology Cottbus–Senftenberg (Germany). He conducted postdoctoral research at the Swiss Federal Institute of Aquatic Science and Technology (Eawag), where he also served as a doctoral supervisor, and held research positions at the University of British Columbia (Canada). He has held distinguished and adjunct professorships at multiple institutions, including Yantai University, Ludong University, and Jining University. He has served as a graduate supervisor and distinguished professor in computer science, control engineering, and applied mathematics.

Dr. Wei’s work focuses on making advanced computational methods—particularly wavelet-based signal processing—accessible, practical, and impactful for researchers and practitioners worldwide. [More About the Author]

Found this useful? Share it

Advanced Data Modeling and Forecasting with Python