Here is a good overview of the first week of the Columbia Data Science course.

mathbabe

I’m attending Rachel Schutt’s Columbia University Data Science course on Wednesdays this semester and I’m planning to blog the class. Here’s what happened yesterday at the first meeting.

Syllabus

Rachel started by going through the syllabus. Here were her main points:

  • The prerequisites for this class are: linear algebra, basic statistics, and some programming.
  • The goals of this class are: to learn what data scientists do. and to learn to do some of those things.
  • Rachel will teach for a couple weeks, then we will have guest lectures.
  • The profiles of those speakers vary considerably, as do their backgrounds. Yet they are all data scientists.
  • We will be resourceful with readings: part of being a data scientist is realizing lots of stuff isn’t written down yet.
  • There will be 6-10 homework assignments, due every two weeks or so.
  • The final project will be an internal Kaggle competition. This will be a…

View original post 1,351 more words

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s