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.
Final Exam Reminder
Just a reminder that your final exam will be on Thursday, December 14 at 5:45pm in the same room as class. Please be on time. Students will not be permitted to enter late. Please make sure that all missing assignments, quizzes and weekly questions are done before the start of the exam. Grades will be submitted after the exam.
Study Guide for Exam 3 (Final Exam)
Here is the study guide for the third (final) exam.
In class exercise 13.2 driver download
Here is the link for the driver download
In-Class Exercise 13.2: Simple Predictive Analytics
Here is the exercise.
And here is the spreadsheet you’ll need [In-Class Exercise 13.2 – VandelayOrdersAll.xlsx].
In-Class Exercise 13.1: Predicting Future Enrollment
Here is the exercise.
Weekly Question #10: Complete by Nov. 30, 2017
Leave your response as a comment on this post by the beginning of class on November 30, 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!
Here is the question:
Think about a data-driven service that you use regularly (i.e., Blackboard, Amazon.com, Facebook). Imagine you want to store the data for that service in a spreadsheet – what would each row in the spreadsheet represent? What would some of the data columns be?
(For example, Yelp.com stores restaurant reviews. A row would be an individual review, and some columns would be the name of the restaurant, the type of food they serve, the address, the star rating, and the name of the reviewer.)
Weekly Question #11: Complete by Nov. 30, 2017
Leave your response to the question below as a comment on this post by the beginning of class on November 30, 2017. It only needs to be three or four sentences.
What was the most important takeaway (from your perspective) from this course? If you had to explain to a future MIS0855 scholar what this course was about, what would you say?
Reading Quiz #10: Complete by Nov. 30, 2017
Some quick instructions:
- You must complete the quiz by the start of class on November 30, 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.
Ready? Take the quiz by clicking this link.
In-Class Exercise 12.2: Sentiment Analysis Using Excel
Here is the exercise.
And here is the spreadsheet you’ll need for the exercise [In-Class Exercise 12.2 – Sentiment Analysis Tools.xlsx].
In-Class Exercise 12.1: Manually Determining the Sentiment of Text Data
Here is the exercise.