MIS 0855: Data Science Fall 2017

Section 005, Instructor: Shana Pote

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.

Video Solution for Assignment #2

In the interests of time, I have posted a video on our Class Capture page of how the charts were to be created and analysis conducted for Assignment #2. We will not be reviewing this in class, so please take the time to view independently.

Let me know if you have questions after watching the video.

Thanks,

Professor Pote

Weekly Question #6: Complete by Oct. 19, 2017

Leave your response as a comment on this post by the beginning of class on October 19, 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!

Answer one of these:

We spent a little time in class discussing the article Stupid Data Corruption Tricks.

  1. Have you ever made one of the mistakes listed in the article? Describe what happened.
  2. If you haven’t made one of those mistakes, which one of them do you think is the most important to avoid?

Reading Quiz #6: Complete by Oct. 19, 2017

Some quick instructions:

  • You must complete the quiz by the start of class on October 19, 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.

Assignment 3: Cleaning a Data Set

Assignment 3 is due before class (5:30pm) on Thursday, October 26, 2017. Here are the instructions (in Word)   (and as a PDF).  Make sure you read them carefully!  This is an assignment that should be done individually.

And here is the data file you’ll need: VandelayOrders(Jan).xlsx.

When your assignment is complete, you’re going to email both files (answer sheet in .docx or .pdf format, and cleaned .xls file) to me at MIS0855.h6xo7208v2mgk0g6@u.box.com from your Temple email account. If your upload is successful, you’ll receive a confirmation receipt via email from the Temple OwlBox system. SAVE THIS RECEIPT! It is your proof that your submission was submitted, the name of the document, and the time/date of submission.

If you don’t receive a confirmation email, it likely means your submission was not successful. Try again, and contact me if you’re having recurrent issues.

Reading Quiz #5: Complete by Oct. 12, 2017

Some quick instructions:

  • You must complete the quiz by the start of class on October 12, 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.

Weekly Question #5: Complete by Oct. 12, 2017

Leave your response as a comment on this post by the beginning of class on October 12, 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:

Just like you did about a month ago, find another online article dated within last two weeks from a credible source that has something to do with data and is interesting and relevant to you. Copy and paste the URL directly into your response followed by a few sentences that explain what is interesting about it.

Assignment 4: Data Visualization (Temple Analytics Challenge)

Here is the assignment.   It is due by midnight on October 31, 2017. But start early!

When your assignment is complete, you’re going to email both .PDF files to me at MIS0855.h6xo7208v2mgk0g6@u.box.com from your Temple email account. If your upload is successful, you’ll receive a confirmation receipt via email from the Temple OwlBox system. SAVE THIS RECEIPT! It is your proof that your submission was submitted, the name of the document, and the time/date of submission.

If you don’t receive a confirmation email, it likely means your submission was not successful. Try again, and contact me if you’re having recurrent issues.

Want extra credit? Enter your deliverable in the Temple Analytics Challenge! You don’t need to do anything more to the assignment except submit it to the competition and you could win up to $2,500!

Extra Credit – In-Class Exercise 5.2: Creating Infographics

As discussed in class on Thursday, this exercise will be granted 2 points extra credit towards your total grade, if you complete and email it to my OwlBox (MIS0855.h6xo7208v2mgk0g6@u.box.com) before class on October 5.

Here is the exercise.

And here is the graphic file you’ll need: Philadelphia Area Obesity Rates.png.

Right-click on the file and save it to your computer.

Office Hours

Shana Pote
shana.pote@temple.edu

Alter Hall 232
Class time: 5:30-8pm, Thursdays
Office hours: Thursdays, 1 hour before class, or by appointment.

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