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
Analytical models are key to understanding data, generating predictions, and making business decisions. Without models it’s nearly impossible to gain insights from data. In modeling, it’s ess... more
Este curso de análisis de datos (business intelligence: BI) y estadísticas es para todos aquellos que quieran mejorar sus habilidades en el análisis de datos. ¿Buscas una forma inteligente de vis... more
Decisions made by humans are rarely made by data alone. Human decision-makers have cognitive biases, are affected by emotions, and make conceptual leaps beyond what the data may suggest. The best... more
Spreadsheet proficiency is a superpower. Learn how to use the various functionalities of Google Sheets to manipulate, inspect, and interpret data, separating the noise from what’s actually h... more
Advanced Bayesian Data Analysis Using R is part two of the Bayesian Data Analysis in R professional certificate. This course is directed at people who are already familiar with the fundamentals of... more
Powered by
