Course Calendar

No class / office hours Tuesday 3/12/19 – group project day.
Final Exam Schedule
- Take on Blackboard (150 questions MC & T/F, 2 hours)
- 7:30 AM class: online open from 5/6 until 5/16 9:45 AM
- 12:00 PM class: online open from 5/4 until 5/14 3:45 PM

Grade Calculator

Course Syllabus (READ THIS CAREFULLY)

Project

Team assignments – posted in blackboard
Instructions
Midterm submission (If multiple files, create a zip file)
- Title your file “Group_Number_Midterm”
Final submission
- Title your file “Group_Number_Final”
PEER EVALUATIONS
- You have from 5/2-16 to complete this survey. Be objective in your ratings.
- For this survey
  - 0 means the individual did absolutely nothing on the project.
  - 10 means the individual contributed up to expectations of the group.

Lecture Materials (tentative until day of lecture)

Running lecture notes
Introduction to Marketing Research
Statistics Notes
- Survey
  - Survey Data (updated 2/14 with hypothesis testing examples)
- Data & Code
- Excel Cheatsheet
- Enable data analysis toolpak
- In Class Problems
  - submit here
- Excel Central Limit Theorem Examples
- Example of Polling Margin of Error
Analysis
- Supplement (materials from ch15)
  - Crosstabs (Pivot table)
- Regressions
Modes of Marketing Research
- Qualitative research
  - Word cloud creator
  - Focus Group with Mad Men
  - ZMET (Zaltman Metaphorical Elicitation Technique)
- Secondary data methods
  - Geographic Clustering
  - Basket analysis of books
  - Google Trends
    - UTEP vs NMSU, superbowl advertisers
  - Texas Revenue Data
    - Mixed beverage (alcohol tax) + hotel taxes by business/month
    - El Paso Beverage Taxes
  - Brand new dataset search by Google
  - More on machine learning if you’re interested
    - Fast.ai MOOC on deep learning
- Observational research
  - Using video to listen
  - Example of contrived observation
- Survey research
  - NIH race classification
  - For this class, do not use Survey Monkey (free version) as it does not allow you to download the raw data. Use Qualtrics (free through UTEP) which has the most extensive options for survey design or Google Forms, a completely free alternative.
    - Get your Qualtrics account
    - Google Forms
  - For this class, any assignment or project submissions should not have screenshots of graphs from survey tools. Analyze the data separately in Excel or using another analysis tool.
- Experimental research
  - Shiv & Fedorikhin study (fruit vs cake)
Measurement & Scale Development
- Get your Qualtrics account
  - If you have questions, email the help desk
- Measurement notes
  - Basic stats for measurement
  - Basic stats Excel example
- How to Design Better Forms
Supplement for the data science world
- Programming in Python
  - Get a Google account if you don’t have one already.
  - Run Python in Jupyter Notebooks on Google Colab
    - You can save/read files from GDrive
    - Need internet access to use
    - You need a google account, if you don’t have a gmail, sign up for one.
    - To open files saved on G-drive on Colab, you need to connect the Colab app to G-drive
  - You can also install the environment locally
    - https://www.anaconda.com/download/
      - Download Python 2 version for this class (makes a small difference vs. Python 3)
      - IMPORTANT: When you install, check the box that asks you to add/append/prepend Anaconda to path/environment variable.
      - Restart after install. You should be able to find Anaconda Navigator, from which you can launch Jupyter Notebook.
      - Alternatively, you should be able to:
        
        Windows: open command prompt
        
        Mac: open terminal
        
        In command prompt/terminal
        
        type: jupyter notebook
        
        press enter
      - Jupyter Notebook should launch a little terminal/command prompt screen and pop open a browser at URL: localhost:8888
        
        if you close the window, you can always get it back by navigating to localhost:8888 in browser.
  - Programming 1 – programming basics (updated 11/12/18)
    - Colab Version
    - PDF (may not match ipynb file exactly due to in class updates)
    - Prime number example (loops, nested loops, booleans, lists as storage)
    - List comprehension
    - Dictionary operations
    - String operations
  - Programming 2 – working with datasets

Quizzes + Final Exam

Quizzes will cover materials from book + lecture. Be sure to read the text in addition to attending lecture/reviewing lecture notes. All quizzes will be made available on Blackboard. Test questions vary from person to person / attempt to attempt. You have 2 attempts for each 40 question quiz, the higher of the 2 attempts will be recorded. There is a 3 hour time limit for each attempt – if you read the book, you will only need 30 minutes. Read the chapters and use common sense.

Quiz 1 (Ch 1-4)
Quiz 2 (Ch 14-15)
Quiz 3 (Ch 5-9)
Quiz 4 (Ch 10&11)
Quiz 5 (Ch 12&13)
Exam (Cumulative)

Assignments

Assignment 1
- Instructions – Fill out empty cells in the spreadsheet
- Data
- Submission
Assignment 2
Assignment 3
Assignment 4
Assignment 5
- Instructions
  - You need to fix and comment (every line of) the code in this assignment.
  - Download the .ipynb file
  - Upload to Google drive **Do this and your edits will save automatically in GDrive**
  - Open/edit using Google Colab
  - Alternatively, open/edit using local jupyter notebook installed in Anaconda
- Additional notes (same as above)
- Submission
  - Submit an .ipynb file.
  - If using Colab, download from Colab/Google Drive
Assignment 6
- Instructions – upon opening, make sure to save a copy to your Google Drive before working on the assignment.
  - El Paso Bar Revenue Data
  - Yelp data
- Submission
Assignment 7
- Instructions
  - Comment the code to demonstrate your understanding. Especially important if you’re working together and submitting more or less the same code. Deductions will be made if you do not comment your code.
  - Data
- Submission