Foundations of Data Science (DATA 1501) Resources
Data Science Playbook Presentation
Resource Type: Presentation
Art Recesso's presentation at the Fall 2021 Data Science RAC meeting on the Industry Knowledge Demand for Data Science. The presentation offers insights into the knowledge, sklls and abilities employers are seeking in Data Science as well as the opportunities for collaboration.
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Posted: October 5, 2021
Art Recesso
University System Office
Art Recesso
University System Office
First 6 labs I developed
Resource Type: Assignment, Assessment, or Project Idea
This is the first iteration of running the DATA1501 class at Valdosta State University, with Python/Colab as tools. I am attaching the first 6 labs I created, hopefully they'll be useful for some to craft their own. I can provide the LaTeX code for those of you who are interested. Please send me any feedback or if you find any errors, at rpmihail@valdosta.edu. Thank you!
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Posted: September 29, 2021
Radu Paul Mihail
Valdosta State University
Radu Paul Mihail
Valdosta State University
Google Colaboratory (Colab)
Resource Type: Technology Recommendation
Colab notebooks allow you to combine executable code and rich text in a single document, along with images, HTML, LaTeX and more. When you create your own Colab notebooks, they are stored in your Google Drive account. You can easily share your Colab notebooks with co-workers or friends, allowing them to comment on your notebooks or even edit them.
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Posted: July 15, 2021
Statistical Foundations Seminar | Data Science for All
Resource Type: General Resource
The Statistical Foundations seminar was created as part of the NSF-funded Data Science for All project with the goal of producing seminars that students from across a spectrum of majors (upper and lower division) could take to get introduced to data science. We have also presented this multiple times at the community college level. In this seminar, we introduce students to data science using Python. Students load Python programs in Jupyter notebooks in Google...
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Posted: July 8, 2021
Business Analytics
Resource Type: Textbook, Guide or and Manual
- Provides 1-2 semesters of business analytics content that takes a holistic approach to data analytics
- Includes a real life case in each chapter, uses big data sets, writing with data and sample reports, and a unique (4 chapters) emphasis on data mining
- Connect: A homework and learning management solution embeds the award-winning SmartBook to improve student results and provides assessment and exercises built for solving in R, Excel, and...
- Includes a real life case in each chapter, uses big data sets, writing with data and sample reports, and a unique (4 chapters) emphasis on data mining
- Connect: A homework and learning management solution embeds the award-winning SmartBook to improve student results and provides assessment and exercises built for solving in R, Excel, and...
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Posted: July 8, 2021
Data 8: The Foundations of Data Science
Resource Type: General Resource
The UC Berkeley Foundations of Data Science course combines three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document...
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Posted: July 8, 2021
Jonathan Watts Hull
University System Office
Jonathan Watts Hull
University System Office
How to Think like a Data Scientist
Resource Type: Textbook, Guide or and Manual
This book is designed to be used in conjunction with external tools like Google Sheets and Jupyter Notebooks. You will need to move back and forth between browser tabs as you work with the tools, and follow the instructions in the book. You will be asked to answer the questions in the book as you read. This is to encourage you to type in the code we have provided and experiment with it.
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Posted: July 8, 2021
Jonathan Watts Hull
University System Office
Jonathan Watts Hull
University System Office
