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Results for "tidyverse (r package)"
Johns Hopkins University
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, Data Cleansing, R Programming, Data Import/Export, Statistical Programming, Text Mining
Imperial College London
Skills you'll gain: Statistical Analysis, R Programming, Statistical Methods, Data Wrangling, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Modeling, Descriptive Statistics
Johns Hopkins University
Skills you'll gain: Image Analysis, Data Manipulation, R Programming, Data Processing, Scientific Visualization, Data Transformation, Computer Vision, Data Analysis, Data Import/Export
Johns Hopkins University
Skills you'll gain: Rmarkdown, Version Control, Data Science, General Science and Research, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation
Skills you'll gain: Shiny (R Package), Data Presentation, Exploratory Data Analysis, Data Wrangling, Predictive Modeling, Tidyverse (R Package), Data Science, Data Collection, Data Storytelling, Interactive Data Visualization, Data Manipulation, Dashboard, Data Analysis, Data Cleansing, Statistical Modeling, R Programming, Regression Analysis, Ggplot2, Data Visualization Software, Web Scraping
Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Exploratory Data Analysis, Data Cleansing, Jupyter, Matplotlib, Data Analysis, Pandas (Python Package), Data Manipulation, Seaborn, Data Transformation, Data Import/Export, Predictive Modeling, Web Scraping, Interactive Data Visualization, Automation, Python Programming
Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Software, Data Science, Descriptive Statistics
Johns Hopkins University
Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Data Analysis Software, Programming Principles, Data Structures, Computational Thinking, Software Development, Performance Tuning
Imperial College London
Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Statistical Analysis, Data Analysis, Exploratory Data Analysis, Quantitative Research, Probability & Statistics, R Programming, Statistics, Descriptive Statistics, Probability Distribution, Data Import/Export
Duke University
Skills you'll gain: Regression Analysis, Statistical Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Data Analysis, Statistical Methods, Exploratory Data Analysis, Predictive Modeling
Coursera Project Network
Skills you'll gain: Ggplot2, Plot (Graphics), Tidyverse (R Package), Data Analysis, Exploratory Data Analysis, R Programming, Data Visualization Software, Data Wrangling, Data Manipulation
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Databases, Stored Procedure, Web Scraping, Relational Databases, Automation, Data Science, GitHub, Python Programming
In summary, here are 10 of our most popular tidyverse (r package) courses
- Wrangling Data in the Tidyverse:Â Johns Hopkins University
- Survival Analysis in R for Public Health:Â Imperial College London
- Introduction to Neurohacking In R:Â Johns Hopkins University
- The Data Scientist’s Toolbox: Johns Hopkins University
- Data Science with R - Capstone Project:Â IBM
- Applied Data Science:Â IBM
- Introduction to Probability and Data with R:Â Duke University
- Advanced R Programming:Â Johns Hopkins University
- Introduction to Statistics & Data Analysis in Public Health:Â Imperial College London
- Linear Regression and Modeling :Â Duke University
