An R Developer uses their programming skills to wrangle data and build tools for data analysis.
Our career tracks are hand-picked by industry experts. You will learn all you need to start a new career in the data science field.
A Data Scientist combines statistical and machine learning techniques with R programming to analyze and interpret complex data.
A Data Analyst collects, processes, and creates visualizations in order to gain insights from complex data sets.
A Data Scientist combines statistical and machine learning techniques with Python programming to analyze and interpret complex data.
A Data Analyst uses data visualization and manipulation techniques to uncover insights and help organizations make better decisions.
Skill tracks guide you to proficiency in a specific technology, methodology or domain. Become an expert in R/Python programming, Machine Learning, Statistical Modeling and more.
Learn about fundamental data types, logic, and how to create your own functions using the R language.
Discover data structures like dictionaries and DataFrames, visualize data with matplotlib, and learn the art of writing your own Python functions.
Learn to import data from Excel files, SQL databases, SAS, and the web. Clean your data so it is ready for analysis.
Harness the power of tools such as pandas and SQLAlchemy so you can extract, filter, and transform your data quickly and efficiently.
Learn the key statistical concepts and techniques used by statisticians and data scientists every day.
Communicate the most important features of your data by creating beautiful visualizations using ggplot2 and base R graphics.