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Python for Data Science Essential Training (Linkedin Learning)
In this practical, hands-on course, learn how to use Python for data preparation, data munging, data visualization, and predictive analytics. Instructor Lillian Pierson, P.E. covers the essential Python methods for preparing, cleaning, reformatting, and visualizing your data for use in analytics and data science.
R for Data Science: Lunchbreak Lessons (Linkedin Learning)
Programming is learned in small bits. You build on basic concepts. You transfer the knowledge you already have to the next language. Lunch Break Lessons teaches one of the most popular programming languages for data analysis and reporting'in short lessons that expand on what existing programmers already know.
R: Interactive Visualizations (Linkedin Learning)
Start by learning to manage packages and structure data for visualizations with the tidyverse and the pipe operator. Then there is an important question: Which library should you choose? The course introduces five popular options: Leaflet, Plotly, Highcharter, visNetwork, and DataTables (DT).
Linux System Administration Basics
This guide presents a collection of common issues and useful tips for Linux system administration. Whether you're new to system administration or have been maintaining systems for some time, we hope this collection of basic Linux commands will help you manage your system from the command line.