Data Analysis with Python and R
Microcredential
Data Analysis with Python and R introduces the knowledge and skills that students need to effectively make decisions using varied data sources. Students who complete this microcredential will have the ability to use the Python and R programming languages to create data visualizations, perform statistical analyses, and train machine learning models that yield actionable insights and support decision-making.
Competencies gained:
- Perform exploratory data analysis and visualization
- Train, validate, and apply machine learning models
- Automatically model and mine text documents
- Deploy visual data analytics dashboards
- Use commercial data analysis platforms
Take the following courses (4 credits):
- CMPSC 301 – Data Science
And take two of the following courses (8 credits):
- CMPSC 100 – Computational Expression
- CMPSC 101 – Data Structures
- CMPSC 102 – Discrete Structures
Program Contact
Address:
520 North Main Street
Meadville, PA 16335
Contact:
814-332-4351
info@allegheny.edu
admissions@allegheny.edu
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