Weekly Question #1: Complete by January 25, 2017
Leave your response as a comment on this post by the beginning of class on January 25, 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.
Reading Quiz #1: Complete by January 23, 2017
Some quick instructions:
- You must complete the quiz by the start of class on January 24, 2017.
- 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 (both Tuesday and Thursday)
Ready? Take the quiz by clicking this link.
In class Exercise 1.1: Data is Everywhere
MIS0855: Data Science
In-Class Exercise 1.1 : Data is Everywhere!
Objective:
- Identify data embedded in our environment.
Learning Outcomes:
- Identify data embedded into the environment
- Differentiate between the data source and the data
- Describe the information that could be derived from that data
Part 1: Explore (15 minutes)
In groups of three or four, look for sources of data using observation, phone, computer throughout Alter and Speakman Hall. Here are the rules:
- Make a note of the source data
- Make a note of some of the data itself
- (i.e., a clock is the source, the time is the data)
- Determine the kind of information that can be derived from the data!
Part 2: Class Discussion (10 minutes)
We’ll compare notes, using these questions as a guide:
- What data did you find? Where did it come from?
- What kind of information can you derive from the information?
- What data made more than one list? Why do you think that was the case?
Welcome to MIS 0855!
We are all drowning in data, and so is your future employer. Data pours in from sources as diverse as social media, customer loyalty programs, weather stations, smartphones, and credit card purchases. How can you make sense of it all? Those that can turn raw data into insight will be tomorrow’s decision-makers; those that can solve problems and communicate using data will be tomorrow’s leaders. This course will teach you how to harness the power of data by mastering the ways it is stored, organized, and analyzed to enable better decisions. You will get hands-on experience by solving problems using a variety of powerful, computer-based data tools virtually every organization uses. You will also learn to make more impactful and persuasive presentations by learning the key principles of presenting data visually.