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Data Science

Basics of Exploratory data analysis

4.49 (226 Ratings)


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About this course

Exploratory Data Analysis, or EDA, is essentially a type of storytelling for statisticians. It allows us to uncover patterns and insights, often with visual methods, within data. In this course you will learn basics of EDA, how to use them in R, Visualization using most popular R packages such as dpyr, ggplot2.

Skills covered

  • EDA concepts
  • EDA in python
  • Visualization tools

Course Syllabus

Basics of Exploratory data Analysis

  • Data Manipulation with dpyr
  • Data Visualization with ggplot2
  • Case Study on Pokemon Dataset

Course Certificate

Get Basics of Exploratory data analysis course completion certificate from Great learning which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

GL Academy Sample Certificate

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