Spring 2017: MKT 4399 – Current Topics in Marketing: Digital Marketing and Data Analytics
- Course Announcement (registration information)
- SYLLABUS (Updated 12/12/16)
- SURVEY (COMPLETE THIS DURING THE FIRST WEEK!!!)
Revise, Resubmit, Late Submissions (filename format firstname_lastname_assignmentname)For assignments up to the API / folium assignment.Due 3/20/2017 before class.
- Revision Submissions
- Submit any revisions of any assignments you wish here before scheduled finals.
- Team Project – Movie Recommender System.
- Project files (Instructions in code folder, data in movie_data folder)
- Team Rosters
- Article on product recommendations
- A note on “group IQ”
- Midterm Submission
- Final Submission
- Optional references
- Econometrics Reference Textbook: Mostly Harmless Econometrics
- You can buy it on Amazon for $35
- If you ever work with data in your career, this book is a keeper.
- Excel References (there are tons of references online)
- Python References (there are tons of references online)
- Econometrics Reference Textbook: Mostly Harmless Econometrics
- Lecture Notes + Homeworks
- Big Data/Digital Marketing – The future is here
- Stats Review
- Notes 1 – Descriptives (ipynb)
- Notes 2 – Inferential (ipynb)
- Notes 3 – Relationship between variables (Covariance Correlation Regression) (ipynb)
- Excel Examples
- Additional detailed notes from Dr. Borle at Rice
- Practice Dataset
- Basic Excel Cheatsheet
- Assignment 1, Submit assignment here
- Due Wednesday
2/1 before the start of class at 3pm at 11:59PM2/3 (Friday) @ 8AM, the submission link shuts off precisely at this time. No late submissions, no exceptions. - Due Monday 1/20/17 before class- revise and
resubmitresubmit - There are 2 files, a Word doc explaining what to do, and an Excel spreadsheet that contains the necessary data.
- You must submit a word doc that reports your results and also the spreadsheet where you generated the graphs, tables, figures, etc.
- Where appropriate, copy graphs/tables you created and insert into your document. But do this keeping in mind to make the report readable.
- Format and proofread. Make your presentation of both the spreadsheet and document as professional as possible.
- Email me if you have any general questions.
- Come talk to me during office hours or schedule an appointment if you have any specific issues.
- Helpful Excel tutorials
- Due Wednesday
- Stats Review
- Introduction to Programming with Python (Python, ad response data)
- Download Anaconda
- Download Anaconda with Python version 2.X (newest version of python 2)
- Follow their installation instructions.
- Lecture 1 (HTML, ipynb)
- Loops (HTML, ipynb)
- Assignment 2: Programming Basics
- Instructions
- Submit #1 here (2/13/2017 end of day)
- Submit #2 here (2/20/2017 end of day)
- Submit #3 here (2/22/2017 end of day)
- Download Anaconda
- Getting the data
- API’s (Your assignment is in this file – due 3/1/17 11:59pm)
- Submit here
- Resources
- Folium
- Polygon Marker Example
- Hint 1: you need to loop through your data to add the points.
- Hint 2: write a “make_marker(data)” function so that you can call it inside the loop that iteratively selects one venue’s data at a time.
- In class hint
- Yelp
- Color Map Example
- Folium
- Scraping (Your assignment is in this file – due 3/13/17 11:59pm)
- API’s (Your assignment is in this file – due 3/1/17 11:59pm)
- Pricing
- Lecture 1 (linear demand)
- Lecture 2 (constant elasticity demand)
- Solutions to problems at the end
- Lecture 3 (Endogeneity and Estimating Aggregate Demand)
- Lecture 4 (Online Pricing Experiments – logit regressions)
- Lecture 5 (Profit Maximization with Logit Demand)
- Assignment 1 (linear + constant elastic demands)
- Submit here
- Basic Markdown Cheatsheet (how to write text in your notebook)
- Latex Cheatsheet (how to write math in markdown)
- Assignment 2 (Endogeneity)
- Segmentation
- Big Data/Digital Marketing – The future is here
Dr. Yang Wang 