Engineering and Technology
Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.
The data.table package is a powerful tool that enhances the functionality of base R's data.frame, offering improved performance and additional features for ease of use and programming efficiency. This comprehensive course guides you through the process of creating, subsetting, and manipulating data.tables. Additionally, you will gain an understanding of the database-inspired capabilities of data.tables, including built-in groupwise operations. The course concludes by teaching you efficient methods for importing and exporting tabular text data, such as CSV files. By the end of this course, you will have the skills to effectively utilize data.table in R, enabling you to streamline your data manipulation and analysis workflows. Throughout the course, you will have the opportunity to explore the San Francisco Bay Area bike share trip dataset from 2014.
by DataCamp
Master core concepts about data manipulation such as filtering, selecting and calculating groupwise...
by DataCamp
Master the complex SQL queries necessary to answer a wide variety of data science questions and prep...
by DataCamp
Learn to use spreadsheets to clean, analyze, and draw insights from data. Discover how to sort, filt...
by DataCamp
Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, a...
by DataCamp
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
by DataCamp
Learn to use SQL Server to perform common data manipulation tasks and master common data manipulatio...
by DataCamp
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo...
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Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful an...
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Learn to create animated graphics and linked views entirely in R with plotly.
by DataCamp
Learn how to explore, visualize, and extract insights from data.