Weekly Question #10: Complete by November 30, 2016
Leave your response as a comment on this post by the beginning of class on November 30, 2016. 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!
Leave a post about your group project:
- What is the subject of your group project?
- Which of your fellow scholars are in your group?
Only one group member has to make the post (only one post per group), but for your other group members to get credit they need to be mentioned in the post.
In-Class Exercise 12.1: Manually Determining the Sentiment of Text Data
Here is the exercise.
Reading Quiz #10: Complete by November 28, 2016
Some quick instructions:
- You must complete the quiz by the start of class on November 28, 2016.
- 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 11.2: Working with ‘Pivot Tables’ in Tableau
Here is the exercise.
Here is the excel spreadsheet you will need to complete this exercise [In-Class Exercise 11.2 – NCAA 2013-2014 Player Stats]
Here are the answers (.docx) for the exercise.
Weekly Question #9: Complete by November 16, 2016
Leave your response as a comment on this post by the beginning of class on November 16, 2016. 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.)
In-Class Exercise 11.1: Creating a Database
Here is the exercise.
Reading Quiz #9: Complete by November 14, 2016
Some quick instructions:
- You must complete the quiz by the start of class on November 14, 2016.
- 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.
Assignment 5: Final (Group) Project
Here are the assignment instructions. Groups MUST be 4 or 5 members. You may not do this assignment on your own or in smaller groups than 4.
The assignment is due December 5, 2016. We’ll do the presentations Monday and (if needed) Wednesday.
Additional Speaker – Gabe Stein, author of “Beating NSA to the Punch by Spying on Myself”
From: James Base <james.base@temple.edu>
Date: Tue, Nov 1, 2016 at 6:41 PM
Subject: Fwd: WebEx meeting scheduled: Speaker Session for Data Science: Gabe Stein
To: ermira.zifla@temple.edu
|
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2nd Guest Speaker and Extra Credit
As discussed on Monday, Oct 31 at the start of class (see Class Capture if you arrived late), we were to have a guest presenter on Wednesday, Nov 2, one of my students from Fall 2015 semester, Logan Peterson. Logan is a 3rd year Marketing student, also pursuing a double minor in Management Information Systems, and Geography and Urban Studies. He was to present on his work with data from his last internship.
Due to a scheduling conflict, Logan will not be able to present in person on Wednesday. However, he presented to my Spring 2016 Data Science class, and we captured his presentation via Class Capture. In lieu of having Logan speak live, you’ll be able to view his recorded session from that Spring session.
Note, the recording can only be accessed via Blackboard, not this community site. This is to protect confidential information shared by Logan about the organization he interned with. (If you recall, this community site is open to the public Internet.) You may view the presentation by logging first into my Blackboard site, and then logging into the Mediasite portal with your AccessNet ID and password. The link is at the bottom of this post.
In addition to viewing Logan’s presentation, I am also offering the opportunity to earn extra credit in conjunction with this video.
Based on the presentation, you may earn extra credit by answering at least 6 of the questions below. Each quality answer (2-3 sentences) is worth ½ a point on your final grade. If you choose to answer all 10 questions, it can add up to 5 points, or around 2 letter steps (e.g. B- to B+) to your final grade for this class. But you must make this worth both our time. You do not need to answer all 10 questions, but you must answer at least 6 questions for me to accept and grade your submission.
- Give an example of data Logan received to analyze.
- Describe how he processed that data into information.
- Describe how he used that information to derive a specific insight.
- Describe a challenge Logan had with the data he received.
- Describe a challenge he had processing the data into information.
- Describe a challenge he had extracting insights from that information.
- Name a possible bias you observed in Logan’s data set.
- At what stage of analysis was that bias introduced?
- Hypothesis formulation
- Establishing measurement methodology
- Data collection
- Summarizing data
- Displaying data
- Analyzing data
- Interpreting results
- How could you correct for the bias?
- What was the most surprising thing you learned during Logan’s presentation?
You have until the end of class, 8:50 am on December 9, 2016, to complete this for extra credit. No late submissions will be accepted.
You will submit it to my OwlBox at (MIS0855.1ptopenatj1r90sy@u.box.com) from your Temple account. As usual, save your receipt.
You can access the Class Capture here.
I will have all extra credit submissions graded and uploaded by the last day of class, on December 12.
Professor Pote