References
Abela, Andrew. 2020. “Choosing a Good Chart.” https://extremepresentation.typepad.com/blog/2006/09/choosing_a_good.html.
Adhikari, Ani, John DeNero, and David Wagner. 2022. Computational
and Inferential Thinking: The Foundations of Data Science. 2nd Ed.
https://inferentialthinking.com/chapters/intro.html.
Akidau, Tyler, Slava Chernyak, and Reuven Lax. 2018. Streaming
Systems: The What, Where, When, and How of Large-Scale Data
Processing. O’Reilly Media.
Alley, Michael. 2013. The Craft of Scientific Presentations, 2nd
Ed. Springer Verlag, New York.
Angwin, Julia, Jeff Larson, Surya Mattu, and Lauren Kirchner. 2016.
“Machine Bias—Risk Assessment in Criminal Sentencing.”
ProPublica, May. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing.
Appel, Gil, Juliana Neelbauer, and David A. Schweidel. 2023.
“Generative AI Has an Intellectual Property Problem.”
Harvard Business Review. https://hbr.org/2023/04/generative-ai-has-an-intellectual-property-problem.
Awati, Kailash, and Simon Buckingham Shum. 2015. “Big Data
Metaphors We Live By.” Medium. https://towardsdatascience.com/big-data-metaphors-we-live-by-98d3fa44ebf8.
Bashir, Noman, Priya Donti, James Cuff, Sydney Sroka, Marija Ilic,
Vivienne Sze, Christina Delimitrou, and Elsa Olivetti. 2024. “The
Climate and Sustainability
Implications of Generative
AI.” An MIT Exploration of Generative AI.
Bass, Len, Paul Clements, and Rick Kazman. 2012. Software
Architecture in Practice. Addison-Wesley Professional.
Behar, Roberto, Pere Grima, and Lluís Marco-Almagro. 2013.
“Twenty-Five Analogies for Explaining Statistical
Concepts.” The American Statistician 67: 44–48.
Benson H., Dusek J. A., Sherwood J. B., P. Lam, C. F. Bethea, W.
Carpenter, S. Levitsky, et al. 2006. “Study of the Therapeutic
Effects of Intercessory Prayer (STEP) in Cardiac Bypass Patients: A
Multicenter Randomized Trial of Uncertainty and Certainty of Receiving
Intercessory Prayer.” American Heart Journal 151 (4):
934–42.
Berreby, David. 2024. “As Use of A.I. Soars, so Does
the Energy and Water It Requires.” https://e360.yale.edu/features/artificial-intelligence-climate-energy-emissions.
Borne, Kirk. 2021. “Data Profiling–Having That First Data with
Your Data.” Medium. https://medium.com/codex/data-profiling-having-that-first-date-with-your-data-2e05de50fca7.
Box, G. E. P., and D. R. Cox. 1964. “An Analysis of
Transformations.” Journal of the Royal Statistical Society.
Series B (Methodological) 26 (2): 211–52. http://www.jstor.org/stable/2984418.
Box, George E. P. 1976. “Science and Statistics.”
Journal of the American Statistical Association 71 (356):
791–99.
Box, George E. P., and Norman R. Draper. 1987. Empirical
Model-Building and Response Surfaces. John Wiley & Sons, New
York.
Breiman, Leo. 1996. “Bagging Predictors.” Machine
Learning 24: 123–40.
———. 2001a. “Random Forests.” Machine Learning 45:
5–32.
———. 2001b. “Statistical Modeling: The Two Cultures.”
Statistical Science 16 (3): 199–231.
Breiman, L., J. H. Friedman, R. A. Olshen, and C. J. Stone. 1984.
Classification and Regression Trees. Wadsworth, Pacific Grove,
CA.
Burgess, Matt. n.d. “Strava’s Heatmap Was a ‘Clear
Risk’ to Security, UK Military Warned.” https://www.wired.co.uk/article/strava-heat-maps-military-app-uk-warning-security.
Burkov, Andriy. 2020. Machine Learning Engineering. True
Positive Inc.
Buschmann, Frank, Regine Meunier, Hans Rohnert, Peter Sommerlad, and
Michael Stal. 1996. Pattern-Oriented Software Architecture: A System
of Patterns. John wiley & sons.
Chawla, Nitesh V., Kevin W. Bowyer, Lawrence O. Hall, and W. Philip
Kegelmeyer. 2002. “SMOTE: Synthetic Minority over-Sampling
Technique.” J. Artif. Int. Res. 16 (1): 321–57.
Chen, Cheng-Tao, and Jiang Zhang. 2014. “Lambda Architecture for
Cost-Effective Batch and Speed Big Data Processing.”
Proceedings of the 2014 IEEE International Congress on Big
Data, 133–40.
Church, Karen. 2023. “The Most Underrated Skill in Data Science:
Communication.” Medium. https://medium.com/intercom-rad/the-most-underrated-skill-in-data-science-communication-7ed2fab82801.
Cleveland, William S. 2001. “Data Science: An Action Plan for
Expanding the Technical Areas of the Field of Statistics.”
International Statistical Review / Revue Internationale de
Statistique 69 (1): 21–26. http://www.jstor.org/stable/1403527.
Cox, M., and D. Ellsworth. 1997. “Application-Controlled Demand
Paging for Out-of-Core Visualization.” In Proceedings.
Visualization ’97 (Cat. No. 97CB36155), 235–44. https://doi.org/10.1109/VISUAL.1997.663888.
Cressie, N. 2023. “Robodebt Not Only Broke the Law of the Land –
It Also Broke Laws of Mathematics.” The Conversation. https://theconversation.com/robodebt-not-only-broke-the-laws-of-the-land-it-also-broke-laws-of-mathematics-201299.
Cunningham, Adam. 2024. “Probability Playground.”
Amstat News, 26–28.
Davenport, Thomas H., and D. J. Patil. 2012. “Data Scientist: The
Sexiest Job of the 21st Century?” Harvard Business
Review. https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century.
———. 2022. “Is Data Scientist Still the Sexiest Job of the 21st
Century?” Harvard Business Review. https://hbr.org/2022/07/is-data-scientist-still-the-sexiest-job-of-the-21st-century.
Debortoli, Stefan, Oliver Müller, and Jan vom Brocke. 2014.
“Comparing Business Intelligence and Big Data Skills.”
Business & Information Systems Engineering 6 (5): 289–300.
Derr, Janice. 2000. Statistical Consulting: A Guide to Effective
Communication. Duxbury Press, Brooks/Cole, Pacific Grove, CA.
Erl, Thomas. 2005. Service-Oriented Architecture: Concepts,
Technology, and Design. Pearson Education India.
Feinberg, William E. 1971. “Teaching the Type i and Type II
Errors: The Judicial Process.” The American Statistician
25 (3): 30–32. http://www.jstor.org/stable/2683322.
Fielding, Roy Thomas. 2000. “Architectural Styles and the Design
of Network-Based Software Architectures.” PhD thesis, University
of California, Irvine. https://ics.uci.edu/~fielding/pubs/dissertation/top.htm.
Fielding, Roy, and Julian Reschke. 2014a. “Hypertext Transfer
Protocol (HTTP/1.1): Message Syntax and Routing.” RFC 7230.
Internet Engineering Task Force (IETF). https://doi.org/10.17487/RFC7230.
———. 2014b. “Hypertext Transfer Protocol (HTTP/1.1): Semantics and
Content.” RFC 7231. Internet Engineering Task Force (IETF). https://doi.org/10.17487/RFC7231.
Fischhoff, Baruch. 1975. “Hindsight Is Not Equal to Foresight: The
Effect of Outcome Knowledge on Judgment Under Uncertainty.”
Journal of Experimental Psychology: Human Perception and
Performance 1: 288--299.
Fowler, Martin. 2002. Patterns of Enterprise Application
Architecture. Addison-Wesley Professional.
Fowler, Martin, and James Lewis. 2014. “Microservices.”
ThoughtWorks. https://martinfowler.com/articles/microservices.html.
Gardner, Howard. 1983. Frames of Mind: The Theory of Multiple
Intelligences. Basic Books, New York.
Gelman, A., and A. Unwin. 2013. “Infovis and Statistical Graphics:
Different Goals, Different Looks.” Journal of Computational
and Graphical Statistics 22: 2–28. https://www.tandfonline.com/doi/full/10.1080/10618600.2012.761137.
Godsey, Brian. 2017. Think Like a Data Scientist. Manning
Publications. https://www.oreilly.com/library/view/think-like-a/9781633430273/.
Graybill, Franklin A. 1976. Theory and Application of the Linear
Model. Duxbury Press, North Scituate, Massachusetts.
———. 1983. Matrices with Applications in Statistics, 2nd Ed.
Wadsworth International Group, Belmont, CA.
Grue, Lars, and Arvid Heiberg. 2006. “Notes on the History of
Normality–Reflections on the Work of Quetelet and Galton.”
Scandinavian Journal of Disability Research 8 (4): 232–46.
Heath, Chip, and Dan Heath. 2007. Made to Stick. Why Some Ideas
Survive and Others Die. Random House, New York.
Heathcote, James A. 1995. “Why Do Old Men Have Big Ears?”
BMJ 311 (7021): 1668. https://doi.org/10.1136/bmj.311.7021.1668.
Hern, Alex. 2024. “TechScape: How Cheap, Outsourced Labour in
Africa Is Shaping AI English.” The Guardian. https://www.theguardian.com/technology/2024/apr/16/techscape-ai-gadgest-humane-ai-pin-chatgpt.
Hohpe, Gregor, and Bobby Woolf. 2003. Enterprise Integration
Patterns: Designing, Building, and Deploying Messaging Solutions.
Addison-Wesley Professional.
Huff, Darrell. 1954. How to Lie with Statistics. W.W. Norton
& Company, New York.
James, Gareth, Daniela Witten, Trevor Hastie, and Robert Tibshirani.
2021. An Introduction to Statistical Learning: With Applications in
r, 2nd Ed. Springer. https://www.statlearning.com/.
Karmel, Allison. 2020. “Machine Learning in the Cloud with
Kubernetes.” Communications of the ACM 63 (4): 40–41.
Kleppmann, Martin. 2017. Designing Data-Intensive Applications: The
Big Ideas Behind Reliable, Scalable, and Maintainable Systems.
O’Reilly Media.
Kuchel, Louise, and Susan Rowland. 2023. “Rhetoric, Influence, and
Persuasion.” In Teaching Science Students to Communicate: A
Practical Guide, edited by Louise Kuchel and Susan Rowland, 11–19.
Springer Verlag, New York.
Kurgan, Lukasz A, and Petr Musilek. 2006. “A Survey of Knowledge
Discovery and Data Mining Process Models.” The Knowledge
Engineering Review 21 (1): 1–24.
Larson, Jeff, Surya Mattu, Lauren Kirchner, and Julia Angwin. 2016.
“How We Analyzed the COMPAS Recidivism Algorithm.”
ProPublica, May. https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm.
Lockett, Will. 2024. “Intel Admits AI Decreases
Productivity.” https://medium.com/predict/intel-admits-ai-decreases-productivity-226681d1af18.
Longnecker, Nancy. 2023. “Good Science Communication Considers the
Audience.” In Teaching Science Students to Communicate: A
Practical Guide, edited by Louise Kuchel and Susan Rowland, 21–30.
Springer Verlag, New York.
Loukides, Mike, Hilary Mason, and D. J. Patil. 2018. Ethics and Data
Science. O’Reilly Media. https://resources.oreilly.com/examples/0636920203964/.
Lu, Jie, Liu Anjin, Dong Dan, Feng Gu, Gama Joao, and Guangquan Zhang.
2019. “Learning Under Concept Drift: A Review.” In IEEE
Transactions on Knowledge and Dara Engineering, 31:2346–63. 12.
Mallick, Satya, and Sunita Nayak. 2018. “Number of Parameters and
Tensor Sizes in a Convolutional Neural Network (CNN).” https://learnopencv.com/number-of-parameters-and-tensor-sizes-in-convolutional-neural-network/.
Mariscal, Gonzalo, Oscar Marban, and Covadonga Fernandez. 2010. “A
Survey of Data Mining and Knowledge Discovery Process Models and
Methodologies.” The Knowledge Engineering Review 25 (2):
137–66.
Martinez-Plumed, Fernando, Lidia Contreras-Ochando, César Ferri, Peter
Flach, José Hernández-Orallo, Meelis Kull, Nicolas Lachiche, and Marı́a
José Ramı́rez-Quintana. 2021. “CRISP-DM Twenty Years Later: From
Data Mining Processes to Data Science Trajectories.” IEEE
Transactions on Knowledge and Data Engineering 33 (8): 3048–61.
Marz, Nathan, and James Warren. 2015. Big Data: Principles and Best
Practices of Scalable Realtime Data Systems. Manning Publications
Co.
Messerli, F. H. 2012. “Chocolate Consumption, Cognitive Function,
and Nobel Laureates.” New England Journal of Medicine
367: 1562–64.
Meta, Analytics at. 2023. “Data Engineering at Meta: High-Level
Overview of the Internal Tech Stack.” Medium. https://medium.com/@AnalyticsAtMeta/data-engineering-at-meta-high-level-overview-of-the-internal-tech-stack-a200460a44fe.
Newman, Sam. 2015. Building Microservices: Designing Fine-Grained
Systems. O’Reilly Media.
Nicoletti, Leonardp, and Dina Bass. 2023. “Humans Are Biased.
Generative AI Is Even Worse.” Bloomberg Technology +
Equality. https://www.bloomberg.com/graphics/2023-generative-ai-bias/.
Nowinski, Christopher J., Samantha C. Bureau, Michael E. Buckland,
Maurice A. Curtis, Daniel H. Daneshvar, Richard L. M. Faull, Lea T.
Grinberg, et al. 2022. “Applying the Bradford Hill Criteria for
Causation to Repetitive Head Impacts and Chronic Traumatic
Encephalopathy.” Frontiers in Neurology 13. https://doi.org/10.3389/fneur.2022.938163.
Oliver, Carol A. 2023. “The Social Brain and the Neuroscience of
Storytelling.” In Teaching Science Students to Communicate: A
Practical Guide, edited by Louise Kuchel and Susan Rowland, 21–30.
Springer Verlag, New York.
OpenWeather Ltd. 2025. “OpenWeatherMap API Documentation.”
https://openweathermap.org/api.
Paleyes, Andrei, Raoul-Gabriel Urma, and Neil D Lawrence. 2022.
“Challenges in Deploying Machine Learning: A Survey of Case
Studies.” ACM Computing Surveys 55 (6): 1–29.
Pallets Projects. 2025. “Flask: A Python Microframework.”
https://flask.palletsprojects.com/.
Papazoglou, Mike P, Paolo Traverso, Schahram Dustdar, and Frank Leymann.
2007. “Service-Oriented Computing: Concepts, Characteristics and
Directions.” Proceedings of the Fourth International
Conference on Web Information Systems Engineering, 3–12.
Patruno, Luigi. 2020. “The Ultimate Guide to Deploying Machine
Learning Models.” MLinProduction.com. https://mlinproduction.com/deploying-machine-learning-models/.
Pearl, Judea, and Dana MacKenzie. 2018. The Book of Why. Basic
Books, New York.
Pedregosa, Fabian, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel,
Bertrand Thirion, Olivier Grisel, Mathieu Blondel, et al. 2025.
“Scikit-Learn: Machine Learning in Python.” Journal of
Machine Learning Research. https://scikit-learn.org/.
Peng, Roger D., Sean Kross, and Brooke Anderson. 2020. Mastering
Software Development in r. https://bookdown.org/rdpeng/RProgDA/.
Provost, Foster, and Tom Fawcett. 2013. Data Science for Business:
What You Need to Know about Data Mining and Data-Analytic Thinking.
O’Reilly Media.
Reitz, Kenneth, and Python Software Foundation. 2024. “Requests:
HTTP for Humans.” https://requests.readthedocs.io/.
Richards, Mark, and Neal Ford. 2020. Fundamentals of Software
Architecture: An Engineering Approach. O’Reilly Media.
Richardson, Chris. 2018. Microservices Patterns: With Examples in
Java. Manning Publications.
Richardson, Leonard, and Sam Ruby. 2007. RESTful Web Services.
O’Reilly Media. http://restfulwebapis.org/rws.html.
Rouis, Yesmine. 2023. “A Guide to MLOps with Airflow and
MLflow.” https://medium.com/thefork/a-guide-to-mlops-with-airflow-and-mlflow-e19a82901f88.
Schabenberger, O., and Francis J. Pierce. 2001. Contemporary
Statistical Models for the Plant and Soil Sciences. CRC Press, Boca
Raton.
Sculley, D., Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips,
Dietmar Ebner, Vinay Chaudhary, Michael Young, Jean-Francois Crespo, and
Dan Dennison. 2015a. “Hidden Technical Debt in Machine Learning
Systems.” In Proceedings of the 29th International Conference
on Neural Information Processing Systems - Volume 2, 2503–11.
NIPS’15. Cambridge, MA, USA: MIT Press.
Shearer, Colin. 2000. “The CRISP-DM Model: The New Blueprint for
Data Mining.” Journal of Data Warehousing 5 (4): 13–22.
Sherman, J., and W. J. Morrison. 1949. “Adjustments of an Inverse
Matrix Corresponding to Changes in the Elements of a Given Column or a
Given Row of the Original Matrix.” Annals of Mathematical
Statistics 20.
Silver, Nate. 2012. The Signal and the Noise: Why so Many
Predictions Fail–but Some Don’t. Penguin Books.
Snow, John. 1855. On the Mode of Communication of Cholera, 2nd.
Ed. John Churchill, London. https://archive.org/stream/b28985266#page/n3/mode/2up.
Spiegelhalter, David. 2021. The Art of Statistics. How to Learn from
Data. Basic Books.
Suresh, H., and J. Guttag. 2021. “A Framework for Understanding
Sources of Harm Throughout the Machine Learning Life Cycle.” https://arxiv.org/pdf/1901.10002.pdf.
Tanenbaum, Andrew S, and Maarten Van Steen. 2016. Distributed
Systems: Principles and Paradigms. Pearson.
Tent, M. B. W. 2006. The Prince of Mathematics: Carl Friedrich
Gauss. CRC Press, Boca Raton, FL.
Tigani, Jordan. 2023. “Gig Data Is Dead.” Motherduck blog.
https://motherduck.com/blog/big-data-is-dead/).
Trewin, D., N. Fisher, and N. Cressie. 2023. “The Robodebt
Tragedy.” Significance 20 (6): 18–21. https://academic.oup.com/jrssig/article/20/6/18/7457250.
Tufte, E. 1983. The Visual Display of Quantitative Information.
Graphics Press.
———. 2001. The Visual Display of Quantitative Information, 2nd
Ed. Graphics Press.
Tukey, John W. 1962. “The Future of Data Analysis.” The
Annals of Mathematical Statistics 33 (1): 1–67.
———. 1977. Exploratory Data Analysis. Pearson.
———. 1993. “Graphic Comparisons of Several Linked Aspects:
Alternatives and Suggested Principles.” Journal of
Computational and Graphical Statistics 2 (1): 1–33. http://www.jstor.org/stable/1390951.
Vaswani, Ashish, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion
Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017.
“Attention Is All You Need.” In Proceedings of the 31st
International Conference on Neural Information Processing Systems,
6000–6010. NIPS’17. Red Hook, NY, USA: Curran Associates Inc.
Wang, Zi. 2019. “Predicting Time to Cook, Arrive, and Deliver at
Uber Eats.” https://www.infoq.com/articles/uber-eats-time-predictions/.
Wilke, Claus O. 2019. Fundamentals of Data Visualization.
O’Reilly Media. https://clauswilke.com/dataviz/.
Wilkinson, Leland. 2005. The Grammar of Graphics. Springer
Verlag.
Woodbury, M. 1950. Inverting Modified Matrices. Memorandum
No. 42. Statistical Research Group, Princeton University.
Yeo, In‐Kwon, and Richard A. Johnson. 2000. “A new family of power transformations to improve
normality or symmetry.” Biometrika 87 (4):
954–59. https://doi.org/10.1093/biomet/87.4.954.
Zewe, Adam. 2025. “Explained: Generative AI’s Environmental
Impact.” https://news.mit.edu/2025/explained-generative-ai-environmental-impact-0117.
Zhou, Yue, Yue Yu, and Boyuan Ding. 2020. “Machine Learning
Operations (MLOps): Overview, Definition, and Architecture.”
IEEE Access 8: 140238–53.
From the project part
A Very Short History Of Data Science by Gil Press, Forbes, 2013
The History of Data Science and Pioneers You Should Know
Data Science 101: Life Cycle of a Data Science Project, Abraham Musa, Medium, 2021
Solving the Last Mile Problem for Data Science Project Success, Bill Waid, Forbes, 2019
Meet Airbnb’s official party pooper, who reduced partying by 5% in two years, CNBC, Sept. 19, 2023
From the data part
Junk Charts Trifecta Checkup: The Definite Guide, by Kaiser Fung.
Fundamentals of Data Visualization, by Claus O. Wilke, O’Reilly Media, 2019.
The science behind data visualization, by Graham Odds on Creative Blog, August 8, 2013
Designing Against Bias in Machine Learning and AI by David Corliss, AMSTAT News, September 2023
Big data ethics and 10 controversial data science experiments, by Sabrina Dominquez, Data Science Dojo, May 2018
University lecturer slams ‘sexist’ Google Translate as gender neutral languages are translated into English, Daily Mail.com, March 24, 2021
Regression to the mean: what it is and how to deal with it, by Barnett, A.G., van der Pols, J.C., and Dobson, A.J., International Journal of Epidemiology, 34(1), 2005.
Mathematical Statistics and Data Analysis, 2nd ed. John A. Rice, Duxbury Press, Belmont, CA, 1995