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CodeSignal

Data Analysis 101 with R

via CodeSignal Path

Overview

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Dive into the world of data analysis with our comprehensive learning path specifically designed for R. This course series is aimed at constructing a robust understanding of data analysis, allowing you to interpret, visualize, and communicate data effectively.

Syllabus

  • Data Manipulation in R
    • Deep dive into data manipulation using dplyr in R. Understand and apply various dplyr functions for selecting, filtering, summarizing, and mutating data.
  • Statistical Analysis with R
    • Explore statistical analysis within R to perform descriptive and inferential statistics, understand probability distributions, and conduct hypothesis testing.
  • Data Cleaning and Preprocessing with R
    • 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.
  • Advanced Data Transformation Techniques
    • Delve into advanced data transformation techniques with R to manage and manipulate complex datasets. Learn to merge datasets, create advanced visualizations, and optimize data processing.
  • Hypothesis Testing in R
    • Gain proficiency in hypothesis testing within the R environment. Learn to formulate, execute, and interpret various statistical tests to make data-driven decisions.
  • Data Visualization with ggplot2
    • Discover the power of data visualization in R using the ggplot2 package. Learn how to craft clear, informative, and appealing visual representations of data.

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