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ANA310

Module 1 Required Resources

Textbook

Common data sense for professionals
Jugulum. (2022). Common data sense for professionals : a process-oriented approach for data-science projects (First edition.). Routledge.

Your course textbook reading can be accessed via the Open Education Resources (OER) links above.

Article

NIH Implicit Bias - Refresher Course
National Institutes of Health. (n.d.). NIH implicit bias - refresher course. National Institutes of Health. Retrieved February 10, 2023, from https://diversity.nih.gov/Implicit_Bias/Refresher/story.html

  • The required resources serve as the foundational reference to support learning about factors that influence and impact business questions hypothesis development.

Module 1 Optional Resources

Turning Biases into Hypotheses Through Method
Enni, S. A., & Herrie, M. B. (2021). Turning biases into hypotheses through method: A logic of scientific discovery for machine learning. Big Data & Society, 8(1). https://doi.org/10.1177/20539517211020775

How to Outsmart Your Own Unconscious Bias
TEDx (2018). How to Outsmart Your Own Unconscious Bias. https://www.ted.com/talks/valerie_alexander_how_to_outsmart_your_own_unconscious_bias

How to Write a Hypothesis in 6 Steps
Ellis, M. (2021, November 2). How to Write a Hypothesis in 6 Steps. How to Write a Hypothesis in 6 Steps, with Examples | Grammarly Blog. https://www.grammarly.com/blog/how-to-write-a-hypothesis/

  • These additional resources will further deepen your understanding of hypothesis development and how to avoid bias.