Week 10 - Data Science Lifecycle

Let’s get cracking with R. You have your data and it is time learn how to import it to R and work with it. We will also teach you how to get support solving coding problems online.

From: [R for Data Science](https://r4ds.had.co.nz/)

Figure 1: From: R for Data Science

Learning Objectives

Part 2

  1. Learners can import their data from a CSV file to a team repository on GitHub
  2. Learners can list the six elements of the data science lifecycle
  3. Learners know three different ways of getting support in solving coding problems online

Slides

title lecturer part slides
Data Science Lifecycle L. Schöbitz Part 2 Access slides in browser
Data Science Lifecycle L. Schöbitz Part 2 Access slides as PDF

Group work

All details for your group work are in the assignment for this week.

Homework

There is one assignment this week and no additional readings.

id title_link type category effort_estimate_min submission_format due_date
1 Week 10 - Data Science Lifecycle assignment required 180 GitHub 2022-05-04

Corrections

If you see mistakes or want to suggest changes, please create an issue on the source repository.

Reuse

Text and figures are licensed under Creative Commons Attribution CC BY-SA 4.0. Source code is available at https://github.com/rbtl-fs22/website, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".