Successful data science projects require good questions and data suited to answer it. Abundant amounts of data can easily be found online, but they were often collected mechanically or on the basis of rather rudimentary questions (e.g., How does some variable vary as a function of some other variable? How does it change over time?).
While Appendix B.3.3 provides a list of online sources for datasets, I cannot provide shortcuts and links for asking and answering good questions. Essentially, this is what science is all about. So be curious, ambitious, and inquire what others are eager to find out about. There really is no shortage of good questions in science, but explicating and answering them is a job that can be fun, but always requires knowledge, skills, patience, and passion.
[60_dsproject.Rmd updated on 2020-03-24 22:30:00 by hn.]