Data Science: Productivity Tools
About this Course
A typical data analysis project may involve several parts, each including several data files and different scripts with code. Keeping all this organized can be challenging. Part of our Professional Certificate Program in Data Science, this course explains how to use Unix/Linux as a tool for managing files and directories on your computer and how to keep the file system organized. You will be introduced to the version control systems git, a powerful tool for keeping track of changes in your scripts and reports. We also introduce you to GitHub and demonstrate how you can use this service to keep your work in a repository that facilitates collaborations. Finally, you will learn to write reports in R markdown which permits you to incorporate text and code into a document. We'll put it all together using the powerful integrated desktop environment RStudio.Created by: Harvard University
Level: Introductory
Related Online Courses
Este curso se dirige a usuarios de Tableau que han madurado un sólido conocimiento del software en los cursos de nivel básico e intermedio. En los precedentes módulos, hemos podido aprender a an... more
Si tomas decisiones en tu empresa o deseas involucrarte en la ciencia de datos y el uso de tecnologías computacionales, este curso es para ti. El análisis multivariado es muy importante y único, al... more
Statistics 1 Part 1 is a self-paced course from LSE which aims to introduce you to and develop your understanding of essential statistical concepts, methods and techniques, emphasising the... more
Los contenidos de este curso se han pensado para permitir que los usuarios de Tableau mejoren a un nivel intermedio las propias capacidades en el empleo de la herramienta. En los precedentes... more
Statistical inference and modeling are indispensable for analyzing data affected by chance, and thus essential for data scientists. In this course, you will learn these key concepts through a... more