Data Manipulation with dplyr
Learn to transform and manipulate your data using dplyr.
Course Instructor
Learn to transform and manipulate your data using dplyr.
This course is an introduction to version control with Git for data scientists.
The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.
Learn to combine data across multiple tables to answer more complex questions with dplyr.
In this course you'll learn how to get your cleaned data ready for modeling.
The xts and zoo packages make the task of managing and manipulating ordered observations fast and mistake free.
Learn A/B testing: including hypothesis testing, experimental design, and confounding variables.
Learn to easily summarize and manipulate lists using the purrr package.
Use your knowledge of common spreadsheet functions and techniques to explore Python!
Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.