Articles/Blog Posts/General Content:
- From the Director’s Desk – A Blog about Data Science Education and Curriculum
- By Karl Schmidtt, a prof at Valparaiso U, chronicles the start of a Bachelors in Data Science program at Valparaiso. Lots of interesting thoughts.
- Becoming a Data Scientist – Curriculum via Metromap (2013) (Metromap also sent out by Raj S. a couple weeks ago)
- On the Shelf: Data Science Books (2014 The DataScience@Berkeley Blog) – a great list of books by topic such as “about data science”, “data science for business”, “data science in popular culture”, “data visualization”, and “the sociology of data science”.
- Job Comparison – Data Scientist vs. Data Engineer vs. Statistician from Analytics Vidhya (2015)
- What Makes a Great Data Scientist? – Kaggle (2017)
- How a College Student Should Prepare for a Data Science Career – Springboard.com
- The Field Guide to Data Science – Booz, Allen, Hamilton
- Appears to be a guide that the company provides to potential clients overviewing their Data Science consultancy capabilities. At 126 pages, it is pretty robust.
- BlurredLines: Data Analyst vs. Data Science – Towards Data Science Article on Medium by Ryan Thorpe
Books:
- Doing Data Science: Straight Talk from the Front Line – Cathy O’Neil & Rachel Schutt
- Practical Statistics for Data Science – 50 Essential Concepts – Peter Bruce and Andrew Bruce**
- Modern Data Science with R – B. Baumer & D. Kaplan**
- Data Science Handbook – F. Cady**
- The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists – Carl Shan & William Chen
**Books Monnie McGee had at the Feb 16 committee meeting
Data Science Existing Resource (Books, courses, etc.) Lists
- KDNuggets Post – 10 Free Must-Read Books for Machine Learning and Data Science
- List of DataScience/Big Data Resources
**Books Monnie McGee had at the Feb 16 committee meeting
Curriculum Related:
- Curriculum Guidelines for Undergraduate Programs in Data Science
- Harvard – CS 109 – Data Science (2015 offering)
- Links to slides, syllabus, schedule, etc.
- Papers for Teaching Undergraduate Data Science
- Roundtable on Data Science Postsecondary Education (2017, 2018)- The National Academies
- From the website: “The Roundtable on Data Science Postsecondary Education brings together representatives from academic data science programs, funding agencies, professional societies, foundations, and industry to discuss the community’s needs, best practices, and ways to move forward.”
- Previous meeting topics include foundations, intersection of domain expertise and data science, data science education in the workplace, ethical and privacy concerns, and reproducibility and data science as a scientific process.
- links to meetings notes and such things.
- J. Hardin, et. al. Data Science in Statistics Curricula: Preparing Students to “Think with Data” The American Statistician, 69(4): 343-353.
- Cross-disciplinary higher education of data science – beyond the computer science student
Undergraduate Degrees in Data Science:
- U of Houston – Downtown
- U of Warwick – BSc in Data Science
- UCSD – BS in Data Science
- Winona State University – BS in Data Science
- Penn State – Data Sciences Intercollege Undergraduate Major
- Focus areas:
- Applied Data Sciences
- Computational Data Sciences
- Statistical Modeling Data Sciences
- Focus areas:
- University of San Francisco – Major in Data Science
- Northeastern University – BS in Data Science
- This program 6 courses categorized as Data Science Foundations (general description of 6 courses). I was able to find websites/syllabus for those the following two courses:
- Drexel University – BS in Data Science
- Valparaiso University – BS in Data Science
Data Science Bootcamps:
- Under construction