with R
Data analysts translate numbers into plain English. Every business collects data, whether it's sales figures, market research, logistics, or transportation costs. A data analyst's job is to take that data and use it to help companies make better business decisions.
Learn about fundamental data types, logic, and how to create your own functions using the R language.
with R
Learn how to parse data in any format. Whether it's flat files, statistical software, databases, or web data, you'll learn to handle it all.
with R
Communicate the most important features of your data by creating beautiful visualizations using ggplot2 and base R graphics.
with R
Master advanced concepts in data manipulation using powerful tools like dplyr and data.table to make your data science projects faster and more readable.
with R
Learn key statistical concepts and techniques like exploratory data analysis, correlation, regression, and inference.
with R
A Data Scientist combines statistical and machine learning techniques with R programming to analyze and interpret complex data.
An R Programmer uses their programming skills to wrangle data and build tools for data analysis.
with R
Learn the basics of prediction using machine learning. This track covers predicting categorical and numeric responses via classification and regression, and discovering the hidden structure of datasets (unsupervised learning). Learn how to process data for modeling, how to train your models, how to visualize your models and assess their performance, and how to tune their parameters for better performance.
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