Master the basics of data analysis by manipulating common data structures such as vectors, matrices and data frames.

Co-founder and CEO of DataCamp

Master the basics of data analysis in Python. Expand your data science skill set by learning scientific computing with numpy.

Data Science Instructor at DataCamp

Level up your Python data science skills creating visualizations using matplotlib and manipulating data frames with Pandas.

Continue your journey to become an R ninja by learning about conditional statements, loops, and vector functions.

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.

Data Scientist and cofounder of Science Craft

Learn to train and assess models performing common machine learning tasks such as classification, regression and clustering.

Master fundamental techniques for data manipulation using the select, mutate, filter, arrange, and summarise functions in dplyr.

Data Scientist at RStudio

Learn about datasets in R, study types, sampling strategies, and experimental design.

Associate Professor at Duke University

Learn to explore your data so you can properly clean and prepare it data for analysis.

Director of Course Development at DataCamp

Say you have a collection of customers with a variety of characteristics such as age, location, and financial history, and you ...

Ben is a machine learning specialist and the director of research at lateral.io. He is passionat...

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

Data Scientist at DataCamp

In this second course in the Python Data Science Toolbox, you'll continue to build your Python Data Science skills. First you'l...

Create Free Account Now

GET FULL ACCESS