Immersion link to highlight email metadata
Assignment #1: Creating a Data Analysis Plan
Here are the instructions in word (and as a PDF). Make sure you read them carefully!
Due on Feb. 2 at 3 p.m. Email me the deliverable part of the doc so I have the time stamp on file. In addition, make sure your name is in the file as well as saved in the doc title/subject when you save as.
In-Class Exercise 2.2: Finding Sources of Data
Here is the exercise.
In-Class Exercise 2.1: Creating a Data Dictionary
Here is the exercise.
And here is the spreadsheet you’ll need [In-Class Exercise 2.1 – 2015 Car Fuel Econ [Start]]
Reading Quiz #1: Complete by Jan. 29, 2017
Some quick instructions:
- You must complete the quiz by the start of class on January 29, 2018.
- When you click on the link, you may see a Google sign in screen. Use your AccessNet ID and password to sign in. It will then take you to the quiz.
If it says you don’t have access, make sure you’re signed out of your regular Gmail (non-TUMail) account! - You can only do the quiz once. If you submit multiple times, I’ll only use the first (oldest) one.
- This is “open book” – you can use the articles to answer the questions – but do not get help from anyone else.
- The quizzes are on all of the readings for the coming week (Monday)
Ready? Take the quiz by clicking this link.
Your reading list for Week 2
The reading list for the week are the following:
Weekly Question #1: Complete by Jan. 29, 2017
Leave your response as a comment on this post by the beginning of class on Jan. 29, 2017. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your opinions, not so much particular “facts” from the class!
If you sign in using your AccessNet ID and password you won’t have to fill in the name, email and captcha fields when you leave your comment.
Here is the question:
“Conventional wisdom” are statements people generally accept as true but are never really tested. One example is the belief that a company should avoid hiring people with criminal records. These can be supported or disproven through data – i.e., Evolv’s discovery that people with criminal records are up to 1.5% more productive than the average worker.
Give an example of a piece of conventional wisdom you’ve heard and explain what data you would collect to test it.
In-Class Exercise 1.2: Developing Hypotheses
Here is the exercise
In class Exercise 1.1: Data is Everywhere
Here is the exercise
Class structure and readings for first class
Programming note about the Monday night classes. We will be covering two sections in the classes. As a result you should be familiar with the reading for 1.1 and 1.2 ahead of the first class Jan. 22. The reading assignment is Three Science Words… from Wired and Data Science and Prediction. The latter is the meatiest of the two readings. And there will be a quiz due before the second class on the second reading installment.
See you in the first class.
ld