R With Data science Certification Test

225 Ratings

Topics covered - Syllabus

  • Data Transformations
  • Data Visualization (Facets,gglpot,mpg data frame,geometric objects,statistical transformations etc)
  • Exploratory Data Analysis (Graphs, Missing Values,variation, covariation, Patterns and models)
  • Factors, Dates and Times (Modifying factor orders, modifying levels)
  • Graphics for Communication
  • Modeling
  • Preemptive modeling with Machine learning in R (Decision Tree, Random Forest, Regression, etc.)
  • Programming and Scenario based Questions(Data types,pipes,functions, vectors,iterations, etc)
  • Projects, paths and directories
  • R Markdown
  • Relational Data (Keys, Joins, Sets)
  • Strings (Pattern Matching, Regular Expressions, etc)
  • Tibbles, Data Import
  • Tidy Data (Spreading and gathering, separating and uniting, non-tidy data)

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Total Tested


Total Passed - 15098

Total Failed - 23580

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