Learn how to create informative and attractive visualizations in Python using the Seaborn library.
DataCamp Content Creator
Courses led by DataCamp Content Creator
The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.
Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.
Learn how to work with dates and times in Python.
Learn to combine data across multiple tables to answer more complex questions with dplyr.
This course is an introduction to version control with Git for data scientists.
Use your knowledge of common spreadsheet functions and techniques to explore Python!
The xts and zoo packages make the task of managing and manipulating ordered observations fast and mistake free.
Learn to easily summarize and manipulate lists using the purrr package.
Learn to analyze and model customer choice data in R.
GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.
Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.
Learn A/B testing: including hypothesis testing, experimental design, and confounding variables.
Learn to build simple models of market response to increase the effectiveness of your marketing plans.