Once you start trying to solve your problem, things are finally moving.

1. Get the data.
2. Clean the data.
3. Look at the data.
4. Summarize the data.

Get the data

“80 percent of time spent is preparing data, 20 percent complaining about the need to prepare data.” — A random blog

Why this …

Finding a good problem is the most important part of data science. You need: a good question or application, and good data.

• A good question or application.
  For questions: Something you care about. I find curiosity is a good motivation. Something other people care about. Often you want actionable answers …

I’m a data scientist at Pinterest. I have also worked with data at Amazon, Google, and a few startups. I get emails every week, sometimes every day, offering me jobs. I am grateful to them, and that my skills are valuable. There are jobs to share.

Recently, people have …