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Data Science

Spring 2019 - Section 002 - Larry Dignan

Data Science

MIS 0855.002 ■ SPRING 2019 ■ LARRY DIGNAN
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Final Exam Reminder

April 25, 2019

Just a reminder that your final exam will be on Monday, May 6 at 5:30 p.m. in the same room as class.  You will not be permitted to take the exam if you arrive late.

Please make sure that all missing assignments and quizzes are done before the start of the exam.  Grades will be submitted after the exam.

Filed Under: Uncategorized

Study Guide for Exam 3 (Final Exam)

April 23, 2019

Here is the study guide for the third (final) exam. And here’s the more detailed overview.

Filed Under: Uncategorized

In class exercise 13.2 driver download

April 18, 2019

Here is the link for the driver download

Filed Under: Uncategorized

In-Class Exercise 13.2: Simple Predictive Analytics

April 18, 2019

Here is the exercise.

And here is the spreadsheet you’ll need [In-Class Exercise 13.2 – VandelayOrdersAll.xlsx].

Filed Under: In Class Exercises

Primer on descriptive, prescriptive, predictive analytics

April 16, 2019

I found the reading this week–beyond the people analytics one–to be a bit lacking on what we’re talking about on Monday. So I aggregated some items that better define descriptive, prescriptive, and predictive.

The semi wonky textbook definition of the flavors of analytics go like this:

  • Descriptive analytics is a preliminary stage of data processing that creates a summary of historical data to yield useful information and possibly prepare the data for further analysis. … Diagnostic analytics is a deeper look at data to attempt to understand the causes of events and behaviors.
  • Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. Prescriptive analytics is related to both descriptive and predictive analytics.
  • Predictive analytics is the branch of the advanced analytics which is used to make predictions about unknown future events. Predictive analytics uses many techniques from data mining, statistics, modeling, machine learning, and artificial intelligence to analyze current data to make predictions about future.

But this post explains it a bit better.

  • Descriptive Analytics, which use data aggregation and data mining to provide insight into the past and answer: “What has happened?”
  • Predictive Analytics, which use statistical models and forecasts techniques to understand the future and answer: “What could happen?”
  • Prescriptive Analytics, which use optimization and simulation algorithms to advice on possible outcomes and answer: “What should we do?

As does Quora.

And finally, this post from my site has a handy Gartner chart that sums of the continuum. Most companies are in the descriptive and diagnostic phase of analytics and trying to get to the predictive and prescriptive part (think Watson, AI etc) where there will be some technology/model/AI that tells you what will happen and how to act.

 

Filed Under: Uncategorized

In-Class Exercise 13.1: Predicting Future Enrollment

April 16, 2019

Here is the exercise

Filed Under: In Class Exercises

Reading Quiz #10: Complete by April 22

April 15, 2019

Some quick instructions:

  • You must complete the quiz by the start of class on April 22.
  • 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.

Filed Under: Quizzes

Your reading for 13.1, 13.2

April 15, 2019

Here’s your reading for the week ahead:

  • Analytics Beautiful Game
  • Descriptive Predictive
  • Watching you at work

Filed Under: Uncategorized

Handy sentiment analysis links

April 15, 2019

Sentiment Viz

StockTwits

Corporate efforts: IBM Tone Analyzer, AWS Comprehend

Filed Under: Uncategorized

In-Class Exercise 12.2: Sentiment Analysis Using Excel

April 11, 2019

Here is the exercise.

And here is the spreadsheet you’ll need for the exercise [In-Class Exercise 12.2 – Sentiment Analysis Tools.xlsx].

Filed Under: In Class Exercises

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Primary Sidebar

Recent Announcements

  • Final Exam Reminder
  • Study Guide for Exam 3 (Final Exam)
  • In class exercise 13.2 driver download
  • In-Class Exercise 13.2: Simple Predictive Analytics
  • Primer on descriptive, prescriptive, predictive analytics

For student help:

Larry Dignan

Phone: 267.614.6467

Office hours: 5:00-5:30pm and 8 to 8:30pm, Mondays, main campus; By appt via Zoom, Skype, FaceTime etc.

ITA: Nhi Nguyen

Great Data Sites

  • FiveThirtyEight
  • Guardian Data Blog
  • Flowing Data
  • Financial Times Data Blog
  • Socrata Open Data
  • Pew Research Data

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