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CodeSignal

Data Cleaning and Preprocessing with R

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Overview

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Master the art of cleaning data using tidyr as part of the tidyverse ecosystem. Focus on techniques for dealing with missing values, reshaping data, and preparing datasets for analysis.

Syllabus

  • Lesson 1: Identifying and Handling Missing Values in R Data Cleaning Process
  • Lesson 2: Data Cleaning Techniques: Managing Duplicates and Outliers in R
  • Lesson 3: Data Normalization Techniques in R
  • Lesson 4: Categorical Data Encoding in R

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