Data Science Bibliography (CloudMonk.io)
Data Science Bibliography
Return to Data Science, Manning Data Science Series, Database Bibliography, Manning AI-ML-DL-NLP-GAN-LLM-Chatbot-ChatGPT Series, AI-ML-DL-NLP-GAN-LLM-Chatbot-ChatGPT Bibliography, Programming Bibliography, Python Bibliography, R Language Bibliography, DataOps Bibliography, DevOps Bibliography, Awesome Data Science
* Data Quality Fundamentals - A Practitioner’s Guide to Building Trustworthy Data Pipelines by Barr Moses, Lior Gavish, and Molly Vorwerck
* Python for Data Science by Yuli Vasiliev - https://learning.oreilly.com/library/view/python-for-data/9781098130275 - B09BKLV68X (PyDatSciYV 2022)
* Data Science at the Command Line, 2nd Edition, by Jeroen Janssens - https://learning.oreilly.com/library/view/data-science-at/9781492087908 - B09CX29SDJ (DatSciCmdLn 2022)
* Python for Data Analysis - Data Wrangling with pandas, NumPy, and Jupyter, 3rd Edition by Wes McKinney - https://learning.oreilly.com/library/view/python-for-data/9781098104023, B0B9HY3WX7 (PyDtAnMcKn 2022)
* Data Mesh by Zhamak Dehghani - https://learning.oreilly.com/library/view/data-mesh/9781492092384
* Python Data Science Handbook, 2nd Edition by Jake VanderPlas - https://learning.oreilly.com/library/view/python-data-science/9781098121211
* Data Science from Scratch, 2nd Edition by Joel Grus - https://learning.oreilly.com/library/view/data-science-from/9781492041122
* Data Science on the Google Cloud Platform - Implementing End-to-End Real-Time Data Pipelines - From Ingest to Machine Learning, 2nd Edition by Valliappa Lakshmanan
* R in Action, Third Edition by Robert I. Kabacoff - https://learning.oreilly.com/library/view/r-in-action/9781617296055
* R Cookbook, 2nd Edition by JD Long, Paul Teetor - https://learning.oreilly.com/library/view/r-cookbook-2nd/9781492040675
* R Language Definition Version 4.2.1 2022-06-23 by R Core Team - https://cran.r-project.org/doc/manuals/R-lang.pdf
* R 4 Quick Syntax Reference - A Pocket Guide to the Language, API's and Library by Margot Tollefson - https://learning.oreilly.com/library/view/r-4-quick/9781484279243
* The Book of R by Tilman M. Davies - https://learning.oreilly.com/library/view/the-book-of/9781492017486
* R for Data Science by Garrett Grolemund, Hadley Wickham - https://learning.oreilly.com/library/view/r-for-data/9781491910382
* Machine Learning with R - Third Edition by Brett Lantz - https://learning.oreilly.com/library/view/machine-learning-with/9781788295864
* Data Visualization with Python and JavaScript, 2nd Edition by Kyran Dale - https://learning.oreilly.com/library/view/data-visualization-with/9781098111861
* CompTIA Data+ Study Guide by Mike Chapple, Sharif Nijim - https://learning.oreilly.com/library/view/comptia-data-study/9781119845256
* Numerical Methods Using Java - For Data Science, Analysis, and Engineering by Haksun Li, PhD - https://learning.oreilly.com/library/view/numerical-methods-using/9781484267974
Data Science: Fundamentals of Data Science, DataOps, Big Data, Data Science IDEs (Jupyter Notebook, JetBrains DataGrip, Google Colab, JetBrains DataSpell, SQL Server Management Studio, MySQL Workbench, Oracle SQL Developer, SQLiteStudio), Data Science Tools (SQL, Apache Arrow, Pandas, NumPy, Dask, Spark, Kafka); Data Science Programming Languages (Python Data Science, NumPy Data Science, R Data Science, Java Data Science, C Plus Plus Data Science | C++ Data Science, MATLAB Data Science, Scala Data Science, Julia Data Science, Excel Data Science (Excel is the most popular "programming language") - Google Sheets, SAS Data Science, C Sharp Data Science | C# Data Science, Golang Data Science, JavaScript Data Science, Kotlin Data Science, Ruby Data Science, Rust Data Science, Swift Data Science, TypeScript Data Science, Bash Data Science); Databases, Data (computing) | Data, Data augmentation | Augmentation, Data analysis | Analysis, Data analytics | Analytics, Data archaeology | Archaeology, Data cleansing | Cleansing, Data collection | Collection, Data compression | Compression, Data corruption | Corruption, Data curation | Curation, Data degradation | Degradation, Data editing | Editing (EmEditor), Data engineering, Extract, transform, load | ETL/Extract, load, transform | ELT (Data extraction | Extract-Data transformation | Transform-Data loading | Load), Data farming | Farming, Data format management | Format management, Data fusion | Fusion, Data integration | Integration, Data integrity | Integrity, Data lake | Lake, Data library | Library, Data loss | Loss, Data management | Management, Data migration | Migration, Data mining | Mining, Data pre-processing | Pre-processing, Data preservation | Preservation, Information privacy | Protection (privacy), Data recovery | Recovery, Data reduction | Reduction, Data retention | Retention, Data quality | Quality, Data science | Science, Data scraping | Scraping, Data scrubbing | Scrubbing, Data security | Security, Data steward | Stewardship, Data storage | Storage, Data validation | Validation, Data warehouse | Warehouse, Data wrangling | Wrangling/munging. ML-DL - MLOps. Data science history, Data Science Bibliography, Manning Data Science Series, Data science Glossary, Data science topics, Data science courses, Data science libraries, Data science frameworks, Data science GitHub, Data Science Awesome list. (navbar_datascience - see also navbar_python, navbar_numpy, navbar_data_engineering and navbar_database)
Bibliography: Books, De-DRM (Calibre and Anna's Archive Shadow Library), Publishers and Publications, WorldCat.org (ISBN), Amazon (ASIN), Apple Books-Kindle-eBooks. (navbar_bibliography - see also navbar_shadow_library, navbar_propaganda)
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