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Class Capture recordings here
There are recordings of what we went over in class so bookmark this link. The recording is on autopilot, but gives you a gist of what transpired.
Open Data Examples
In class we talked about a few examples of open data. Here are some others:
- Business: data.gov’s “Impact” section
- Science: The Genomes Unzipped project
- Government: New York City parking violations
- Journalism: Swarmize
Data, analytics outlook for marketing, advertising
Some of you noted you have a focus communication, PR, advertising and marketing. Here’s an IAB report/outlook on emerging data trends in advertising (as it applies to digital media).
Your reading list for Week 3
Your reading list for Week 2
The reading list for the week are the following:
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 Jan. 23 class. 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.
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Course Syllabus
Here is the syllabus for the course.
You should read the syllabus carefully. Everything you need to know is in this document.
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.
It’s also worth noting that data science and literacy will apply to every profession. In fact, data science is forcing more integration between various fields and careers.