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Effective Data Storytelling using the tidyverse

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15 Hours50 Exercises4500 XP

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Course Description

This course is designed to supplement and build on the content covered at http://moderndive.com and the slides at http://bit.ly/soc301-slides. It assumes that you have completed the Introduction to R course on DataCamp.

  1. 1

    Applying R Basics

    Free

    Exploring the basics of R on a data set based on the fivethirtyeight.com "Most Police Don’t Live In The Cities They Serve" article.

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    Investigate the properties of a data frame
    100 xp
    Identify observational unit
    50 xp
    Create a vector
    100 xp
    Subset and index a vector
    50 xp
    Subset and index a vector again.
    100 xp
  2. 2

    Tidy Data

    Free

    Look into tidy data properties on data sets used in articles from fivethirtyeight.com in the fivethirtyeight R package

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  3. 3

    Scatter-plots & Line-graphs

    Free

    Create and analyze different plots relating two numerical variables via the ggplot2 package using datasets in and derived from the fivethirtyeight R package

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  4. 4

    Histograms & Boxplots

    Free

    Make and interpret different plots relating one categorical variable to one numerical variable via the ggplot2 package using datasets in and derived from the fivethirtyeight R package

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  5. 5

    Barplots

    Free

    Generate and examine barplots displaying one categorical variable or relationships between multiple categorical variables via the ggplot2 package using datasets in and derived from the fivethirtyeight R package

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  6. 8

    dplyr Review

    Free

    Create a new column in a data frame, modify an existing column, and sort by one or more columns using the dplyr package. Review the main ideas of the Five Main Verbs of dplyr - filter, summarize, group_by, mutate, and arrange.

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  7. 9

    Supplement to ModernDive textbook

    Free

    To supplement learning of the material covered at http://moderndive.com, this chapter provides a playground for you to work with the code and better understand what each of the gray chunks of R code throughout the book does.

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Albert Y. Kim Headshot

Albert Y. Kim

Assistant Professor of Statistical & Data Sciences

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Chester Ismay

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What do other learners have to say?

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Lloyds Banking Group

DataCamp is the top resource I recommend for learning data science.

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Harvard Business School

DataCamp is by far my favorite website to learn from.

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Decision Science Analytics, USAA

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