Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.
Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.
This course provides a comprehensive introduction to working with base graphics in R.
Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.
Learn to create interactive graphics entirely in R with plotly.
Learn how to produce interactive web maps with ease using leaflet.
Learn how to visualize time series in R, then practice with a stock-picking case study.
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.
Learn rbokeh: a visualization library for interactive web-based plots.
Learn to create animated graphics and linked views entirely in R with plotly.
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Learn to visualize multivariate datasets using lattice graphics.
Visualize the rise of COVID-19 cases globally with ggplot2.
Discover the top tools Kaggle participants use for data science and machine learning.
Discover how the US bond yields behave using descriptive statistics and advanced modeling.
Use tree-based machine learning methods to identify the characteristics of legendary Pokémon.
Use logistic regression to determine which treatment procedure is more effective for kidney stone removal.
Load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows.
Apply hierarchical and mixed-effect models to analyze Maryland crime rates.
Use your logistic regression skills to protect people from becoming zombies!
Predict the impact of climate change on bird distributions using spatial data and machine learning.
Use cluster analysis to glean insights into cryptocurrency gambling behavior.
Apply unsupervised learning techniques to help plan an education program in Argentina.
Use R to make art and create imaginary flowers inspired by nature.
Use data science to catch criminals, plus find new ways to volunteer personal time for social good.
Explore the salary potential of college majors with a k-means cluster analysis.
Analyze admissions data from UC Berkeley and find out if the university was biased against women.
Analyze the dialog and IMDB ratings of 287 South Park episodes. Warning: contains explicit language.
Experiment with clustering algorithms to help doctors inform treatment for heart disease patients.
Explore acoustic backscatter data to find fish in the U.S. Atlantic Ocean.
Write functions to forecast time series of food prices in Rwanda.
Apply text mining to Donald Trump's tweets to confirm if he writes the (angrier) Android half.
Use regression trees and random forests to find places where New York taxi drivers earn the most.
Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.
Apply your skills from "Working with Dates and Times in R" to breathalyzer data from Ames, Iowa.
Create and explore interactive maps using Leaflet to determine where to open the next Chipotle.
How can we find a good strategy for reducing traffic-related deaths?
Get ready for Halloween by digging into a FiveThirtyEight dataset with all your favorite candy!
Examine the relationship between heart rate and heart disease using multiple logistic regression.
Examine the network of connections among local health departments in the United States.
Analyze the relative popularity of programming languages over time based on Stack Overflow data.
If you have never done a DataCamp project, this is the place to start!
Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed?
Flex your data manipulation muscles on breath alcohol test data from Ames, Iowa, USA.
Compare life expectancy across countries and genders with ggplot2.
Analyze data from the hit mobile game, Candy Crush Saga.
Analyze the relative popularity of programming languages over time based on Stack Overflow data.
Write functions to forecast time series of food prices in Rwanda.