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Results for "tidyverse (r package)"
Johns Hopkins University
Skills you'll gain: Anatomy, Radiology, Image Analysis, Data Analysis, Analysis, Data Manipulation, Analytical Skills, Experimentation, Research Design, R Programming, Statistical Analysis, Psychology, Network Analysis, Data Processing, Regression Analysis, Scientific Visualization, Science and Research, Scientific Methods, Medical Science and Research, Data Transformation
Coursera Project Network
Skills you'll gain: Interactive Data Visualization, Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Cloud Development, Cloud Hosting
Coursera Project Network
Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Statistical Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, Box Plots, R Programming, Probability Distribution, Data Synthesis, Probability & Statistics, Exploratory Data Analysis
Coursera Project Network
Skills you'll gain: Ggplot2, Data Cleansing, Tidyverse (R Package), Data Wrangling, Data Transformation, Data Visualization, R Programming, Data Manipulation
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
University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Sampling (Statistics), Jupyter, Quantitative Research, Python Programming, Matplotlib, NumPy
University of Illinois Urbana-Champaign
Skills you'll gain: Tidyverse (R Package), Data Processing, Business Analytics, Data Wrangling, Data Transformation, Business Intelligence, Data Manipulation, R Programming, Business Process, Business Process Automation, Exploratory Data Analysis, Data Visualization, Data Analysis, Data-Driven Decision-Making, Descriptive Statistics
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Shiny (R Package), Data Visualization, Data Wrangling, Dashboard, Exploratory Data Analysis, Statistical Visualization, Relational Databases, Data Analysis, Ggplot2, Database Design, Data Presentation, SQL, Plot (Graphics), Database Management, Data Manipulation, R Programming, Web Scraping
Coursera Project Network
Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Statistical Analysis, Statistical Hypothesis Testing, Data Analysis, Data Science, Probability
Coursera Project Network
Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Cleansing, Data Processing, Statistical Methods, Data Manipulation, Data Analysis Software, Data Import/Export
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Leaflet (Software), Plotly, Interactive Data Visualization, Data Visualization, Data Presentation, Data Visualization Software, R Programming, Statistical Reporting, UI Components, Web Applications, Hypertext Markup Language (HTML), GitHub, Package and Software Management
Coursera Project Network
Skills you'll gain: Data Manipulation, Data Transformation, Pivot Tables And Charts, Data Cleansing, Data Integration, R Programming, Data Quality
In summary, here are 10 of our most popular tidyverse (r package) courses
- Neuroscience and Neuroimaging:Â Johns Hopkins University
- Getting Started with Rstudio:Â Coursera Project Network
- RStudio for Six Sigma - Basic Descriptive Statistics:Â Coursera Project Network
- Tidy Messy Data using tidyr in R:Â Coursera Project Network
- R Programming for Statistics and Data Science:Â Packt
- Inferential Statistical Analysis with Python:Â University of Michigan
- Introduction to Business Analytics with R:Â University of Illinois Urbana-Champaign
- Applied Data Science with R:Â IBM
- Using probability distributions for real world problems in R:Â Coursera Project Network
- Using Descriptive Statistics to Analyze Data in R:Â Coursera Project Network
