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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

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Data Analysis with Python and R

Microcredential

Competencies gained:

Take the following courses (4 credits):

And take two of the following courses (8 credits):

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