Data scientists who use Excel realize that R is emerging as the new standard for statistical wrangling (especially for larger data sets). This course serves as the perfect bridge for the many Excel-reliant data analysts and business users who need to update their data science skills by learning R. Much of the course focuses on how crucial statistical tasks and operations are done in R—often with the DescTools package—as contrasted with Excel functions and Data Analysis add-in, and then scales up from there, showing the more powerful features of R. Conrad Carlberg helps you effectively toggle between both programs, moving data back and forth so you can get the best of both worlds. Learn about calculating descriptive statistics, running bivariate analyses, and more.

Learn how to format, compare, calculate, manage, and troubleshoot dates and times using R-based tools.

High-variety data can cause a slew of problems for data scientists. In this course, learn what these problems are and how to use the unique capabilities of R to solve them.

Learn how to work your mojo on high-velocity data with R. Discover how to acquire, process, and present high-velocity data using this popular programming language.

Analyze high-volume data using R, the language optimized for big data. Learn how to produce visualizations, implement parallel processing, and integrate with SQL and Apache Spark.

Learn how to choose and install a version of R-base R, tidyverse R, R Open, or Bioconductor R-and install useful R packages.

Learn how to rapidly create rich, interactive data visualizations with R and htmlwidgets—packages that connect R to popular JavaScript libraries like Plotly, Leaflet, and DT.

Find out how three students turned their architecture thesis into a successful community hub, Quartyard. Watch this documentary and let their passion inspire your next project.

Radical candor is a management strategy based on the ability to be both caring and direct. In this audiobook summary, learn how to implement radical candor in your career.

RAFM RAMS Training for Analysts

RAFM RAMS Training for Managers

LinkedIn Influencer Ram Charan explains how to identify and coach high-potential employees-and what these employees can do to fully realize their potential.

Learn how to quickly develop Python graphical user interface (GUI) apps using the wxPython library, which brings the wxWidgets capability to Python, and the wxGlade tool.

Bring your product designs into the real world with rapid prototyping. Get a close look at the machinery and the techniques, such as 3D printing, machining, and injection molding.

Kick-start your journey into the world of physical computing by learning how to set up, configure, and experiment with a Raspberry Pi.

Get tips and tricks for working with Raspberry Pi. Learn how to create cool electronics projects without a lot of money or time.

Learn how to identify pins on the Raspberry Pi GPIO and program them to control lights and motors, read data from sensors, and interact with the Internet of Things.