Search result for Tidyverse Online Courses & Certifications
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Introduction to the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
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Approx. 8 hours to complete
The Tidyverse has revolutionized the way in which data scientists do almost every aspect of their job. We will also cover how non-tidy can be transformed to tidy data, the data science project life cycle, and the ecosystem of Tidyverse R packages that can be used to execute a data science project. The Data Science Life Cycle & Tidyverse Ecosystem...
Efficient R Programming with the Tidyverse
by Adam Hayward- 4.4
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2.5 hours on-demand video
Take your R programming skills to the next level with the core tidyverse packages of dplyr, tidyr, ggplot2 and magrittr It covers a step-by-step guide to the most important functions offered by some of the tidyverse packages, providing students with a comprehensive toolkit to address common data science tasks....
$12.99
R Data Science Capstone Project
by Yan Luo , Jeff Grossman- 0.0
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4 Weeks
You will collect and understand data from multiple sources, conduct data wrangling and preparation with Tidyverse, perform exploratory data analysis with SQL, Tidyverse and ggplot2, model data with linear regression, create charts and plots to visualize the data, and build an interactive dashboard....
$99
Getting Started with Data Visualization in R
by Collin Paschall- 4.8
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Approx. 12 hours to complete
Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. Using the Tidyverse packages Introduction to the tidyverse Data import and structure in the tidyverse Tidyverse Introduction Quiz...
Data Visualization in R with ggplot2
by Collin Paschall- 5
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Approx. 13 hours to complete
Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. It is intended for learners who have either have some experience with R and data wrangling in the tidyverse or have taken the previous course in the specialization....
Advanced Data Visualization with R
by Collin Paschall- 4.8
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Approx. 11 hours to complete
Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. By the end of this course, students will be able to import data into R, manipulate that data using tools from the popular tidyverse package, and make simple reports using R Markdown....
The R Programming Environment
by Roger D. Peng, PhD , Brooke Anderson- 4.4
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Approx. 27 hours to complete
This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings....
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Publishing Visualizations in R with Shiny and flexdashboard
by Collin Paschall- 4.9
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Approx. 12 hours to complete
Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports....
Importing Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.6
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Approx. 15 hours to complete
This course introduces the Tidyverse tools for importing data into R so that it can be prepared for analysis, visualization, and modeling. A​pply Tidyverse functions to import data into R from external formats...
Wrangling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.8
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Approx. 14 hours to complete
Wrangling Data in the Tidyverse Project: Wrangling data in the Tidyverse Wrangling Data in the Tidyverse Course Project A​pply Tidyverse functions to transform non-tidy data to tidy data...
