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Learn Data Wrangling, earn certificates with free online courses from Harvard, University of Pennsylvania, Johns Hopkins, Duke and other top universities around the world. Read reviews to decide if a class is right for you.
Master essential data analytics skills from SQL and Python to predictive modeling and Tableau, enabling you to transform raw data into actionable business insights and compelling visualizations.
Take the pain out of data manipulation using pandas. You’ll learn how to transform, sort, and filter data in DataFrames, ready for quick analysis.
Gain the real-world data prepping skills you need to reveal the insights that matter! Discover how to import, clean, and work with APIs and web data.
Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.
Learn R for data science by wrangling, visualizing, and modeling political data like polls and election results.
Gain the real-world skills you need to import and clean your data when working in R—making it possible for you to reveal the insights that matter.
Learn to create animated graphics and linked views entirely in R with plotly.
Take the pain out of data manipulation using dplyr and tidyr. Learn how to transform, sort, and filter your data, ready for quick analysis.
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.
Design surveys to get actionable insights via reviewing of survey design structures and visualizing and analyzing survey results.
Import and tidy data, wrangle and visualize data, and model and communicate with data in R with the tidyverse.
Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.
Continue to build your modern Data Science skills by learning about iterators and list comprehensions.
Master essential data manipulation and analysis using NumPy for numerical computing and Pandas for data wrangling, from basic array operations to advanced transformations and complex data analysis techniques.
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.
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