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Data Science
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Data Analysis with R

This course is part of multiple programs. Learn more

     
  • 4.7
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  • Reviews ( 265 )
Free
Data Analysis with R

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This Course Includes

  • iconcoursera
  • icon4.7 (265 reviews )
  • icon16 hours (approximately)
  • iconenglish
  • iconOnline - Self Paced
  • iconcourse
  • iconIBM

About Data Analysis with R

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate

What You Will Learn?

  • Prepare data for analysis by handling missing values, formatting and normalizing data, binning, and turning categorical values into numeric values..
  • Compare and contrast predictive models using simple linear, multiple linear, and polynomial regression methods..
  • Examine data using descriptive statistics, data grouping, analysis of variance (ANOVA), and correlation statistics..
  • Evaluate a model for overfitting and underfitting conditions and tune its performance using regularization and grid search..