TDM 390: The Data Mine Special Topics

0 to 3 credits

Spring 2024Upper DivisionVariable Title
Data from
Spring 2024
last updated 8/23/2024

The Data Mine is a supportive environment for students in any major from any background who want to learn some data science skills. Students will gain hands-on experience with computational tools for representing, extracting, manipulating, interpreting, transforming, and visualizing data, especially big data sets, and in effectively communicating insights about data. Topics include: the R environment, Python, visualizing data, UNIX, bash, regular expressions, SQL, XML and scraping data from the internet, as well as selected advanced topics, as time permits.

Learning Outcomes

1Discover data science and professional development opportunities in order to prepare for a career.

2Explain the difference between research computing and basic personal computing data science capabilities in order to know which system is appropriate for a data science project.

3Design efficient search strategies in order to acquire new data science skills.

4Devise the most appropriate data science strategy in order to answer a research question.

5Apply data science techniques in order to answer a research question about a big data set.

Course TDM 390 from Purdue University - West Lafayette.

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Cohort Data Mine Corporate Partners

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TDM 390: The Data Mine Special Topics