LinkedIn Learning

FSU students, staff, and faculty have access to LinkedIn Learning, an online resource with thousands of video courses taught by industry experts.  RCC has curated some courses we think are particularly relevant to the FSU Research Community.

Beginner

  • Learning Python — Python—the popular and highly readable object-oriented language—is both powerful and relatively easy to learn. Whether you're new to programming or an experienced developer, this course can help you get started with Python. Joe Marini provides an overview of the installation process, basic Python syntax, and an example of how to construct and run a simple Python program. Learn to work with dates and times, read and write files, and retrieve and parse HTML, JSON, and XML data from the web.
  • Linux: Bash Shell and Scripts — Bash scripting can help you automate routine tasks and save valuable time, whether you're a Linux user, sys admin, or software developer. Kevin Dankwardt has written thousands of bash scripts, short and long. Here he teaches you how to read and write scripts, and provides a series of scripting challenges to help you test your new skills. Learn about the bash environment, local variables, functions, loops, case statements, string operations, and coprocesses. Plus, learn how to use the text processing utilities sed and AWK to read and edit data in text files. The topics covered in this course are vital for Linux administration, and required for many Linux certifications.
  • Linux: Files and Permissions — When it comes to managing Linux servers securely, permissions and access control are crucial. In this course, follow computer science instructor and Linux enthusiast Grant McWilliams as he explains how to manage files and directories, create links, and set permissions in CentOS 7. Grant goes into Linux file types, shows how to manipulate files, and explains how to maintain access control to files through the standard Unix permission system and Access Control Lists. He covers how to grant or revoke access to files and directories for users and groups, as well as how to set up special file bits for privilege escalation and special directory bits for owner group inheritance.
  • Learning SSH — Secure Shell (SSH) offers a safe way to communicate with a server and to connect to systems remotely. Consequently, SSH is a vital skill for anyone who works in IT. In this short course, Scott Simpson explains what SSH is and shows how to connect to an SSH server from different operating systems. He also demonstrates how to transfer files via SSH File Transfer Protocol (SFTP) and secure copy (SCP), and how to set up your own SSH server on Linux and Mac OS X.

Intermediate

  • Learn object-oriented design principles — All good software starts with a great design. Object-oriented design helps developers plan applications before they write a single line of code, and break down ideas into reusable and maintainable components. This course focuses on the foundational concepts, teaching them in a fun, interactive way to help you quickly develop your skills. Tag team Olivia and Barron Stone introduce you to the concepts and terms—objects, classes, abstraction, inheritance, and more—that you need to get started. They then show how to take the requirements for an app, identify use cases, and map out classes using Universal Modeling Language (UML). The final design can then be translated into code using one of the many popular object-oriented programming languages, such as Java, C#, Ruby, or Python.

Advanced

  • Python for Data Science Essential Training — By using Python to glean value from your raw data, you can simplify the often complex journey from data to value. 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. She helps to provide you with a working understanding of machine learning, as well as outlier analysis, cluster analysis, and network analysis. Plus, Lillian explains how to create web-based data visualizations with Plot.ly, and how to use Python to scrape the web and capture your own data sets.