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Results for "rmarkdown"

Johns Hopkins University
Publishing Visualizations in R with Shiny and flexdashboard
Skills you'll gain: Shiny (R Package), Data Visualization, Dashboard, Ggplot2, Interactive Data Visualization, Data Visualization Software, Data Presentation, Application Development, UI Components, User Interface (UI), Application Deployment
4.9
Rating, 4.9 out of 5 stars
69 reviews
Mixed · Course · 1 - 4 Weeks
Johns Hopkins University
Data Visualization in R with ggplot2
Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Heat Maps, R Programming, Graphing, Data Wrangling, Graphics Software
4.9
Rating, 4.9 out of 5 stars
126 reviews
Intermediate · Course · 1 - 4 Weeks
IBM
Introduction to R Programming for Data Science
Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Computer Programming, Integrated Development Environments
4.5
Rating, 4.5 out of 5 stars
550 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Data Science: Foundations using R
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Visualization, Statistical Programming, Ggplot2, Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Analysis, Data Import/Export, General Science and Research, Data Sharing, Statistical Reporting
4.6
Rating, 4.6 out of 5 stars
48K reviews
Beginner · Specialization · 3 - 6 Months
IBM
IBM Relational Database Administrator
Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, MySQL, PostgreSQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Transformation, IBM DB2, Relational Databases, Jupyter, Generative AI
4.6
Rating, 4.6 out of 5 stars
56K reviews
Intermediate · Professional Certificate · 3 - 6 Months
University of Colorado Boulder
Statistics and Data Analysis with R
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Plot (Graphics), Probability, Data Manipulation, Statistical Inference
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Data Visualization Capstone
Skills you'll gain: Data Visualization Software, Statistical Visualization, Data Storytelling, Data Manipulation, Data Presentation, Ggplot2, Statistical Reporting, Data Wrangling, Dashboard, Data Analysis, Data Cleansing, Exploratory Data Analysis, R Programming, Tidyverse (R Package), Data Import/Export, Rmarkdown
5
Rating, 5 out of 5 stars
32 reviews
Mixed · Course · 1 - 4 Weeks
Johns Hopkins University
Data Visualization & Dashboarding with R
Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Data Visualization, Spatial Data Analysis, Scatter Plots, Plot (Graphics), Dashboard, Data Import/Export, Data Visualization Software, Interactive Data Visualization, R Programming, Geospatial Information and Technology, Statistical Reporting, Plotly, Statistical Visualization, Data Storytelling, Heat Maps, Data Manipulation
4.8
Rating, 4.8 out of 5 stars
422 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
DeepLearning.AI
Prompt Compression and Query Optimization
Skills you'll gain: MongoDB, Operational Databases, Query Languages, Metadata Management, Performance Tuning, Database Management, Data Processing
Intermediate · Project · Less Than 2 Hours
Packt
R Programming for Statistics and Data Science
Skills you'll gain: R Programming, Exploratory Data Analysis, Ggplot2, Data Visualization, Statistical Programming, Descriptive Statistics, Data Manipulation, Data Science, Tidyverse (R Package), Data Structures, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Inference, Probability & Statistics, Statistical Modeling, Data Transformation, Software Installation
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Getting Started with R
Skills you'll gain: Data Import/Export, Package and Software Management, R Programming, Data Structures, Software Installation, Data Analysis Software, Data Analysis
4.3
Rating, 4.3 out of 5 stars
376 reviews
Beginner · Guided Project · Less Than 2 Hours
Emory University
Reproducible Templates for Analysis and Dissemination
Skills you'll gain: Rmarkdown, Technical Documentation, Software Documentation, Document Management, Technical Writing, Data Sharing, General Science and Research, Technical Communication, R Programming, YAML, Automation, HTML and CSS, Version Control
4.7
Rating, 4.7 out of 5 stars
18 reviews
Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular rmarkdown courses

Publishing Visualizations in R with Shiny and flexdashboard: Johns Hopkins University
Data Visualization in R with ggplot2: Johns Hopkins University
Introduction to R Programming for Data Science: IBM
Data Science: Foundations using R: Johns Hopkins University
IBM Relational Database Administrator: IBM
Statistics and Data Analysis with R: University of Colorado Boulder
Data Visualization Capstone: Johns Hopkins University
Data Visualization & Dashboarding with R: Johns Hopkins University
Prompt Compression and Query Optimization: DeepLearning.AI
R Programming for Statistics and Data Science: Packt

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Results for "rmarkdown"

Publishing Visualizations in R with Shiny and flexdashboard

Data Visualization in R with ggplot2

Introduction to R Programming for Data Science

Data Science: Foundations using R

IBM Relational Database Administrator

Statistics and Data Analysis with R

Data Visualization Capstone

Data Visualization & Dashboarding with R

Prompt Compression and Query Optimization

R Programming for Statistics and Data Science

Getting Started with R

Reproducible Templates for Analysis and Dissemination