This Specialization covers the concepts and tools needed throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, I’ll apply the skills learned by building a data product using real-world data.
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Use R to clean, analyze, and visualize data.
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Use GitHub to manage data science projects.
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Navigate the entire data science pipeline from data acquisition to publication.
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Perform regression analysis, least squares and inference using regression models.
- Github
- Machine Learning
- R Programming
- Regression Analysis
- Data Science
- R Studio
- Data Analysis
- Debugging
- Data Manipulation
- Regular Expression (REGEX)
- Data Cleansing
- Cluster Analysis