Data and Analytics (Section 1)

• The exam is closed-book, closed-notes. The exam will be a combination of multiple-choice and short-answer questions.
• Exam # 3 covers all the lectures from “Introduction to Advanced Analytics”. We will have a review session on Tuesday (12/2).
• You will need a calculator. 
• Study Guide for Exam 3 (word)
• Study Guide for Exam 3 (ppt)

Here are the assignment instructions (in Word format).

For this assignment, you’ll use the ARulesAssignmentOutput.csv, which is generated based on the Python code as in ICA16. 

In addition, no late submissions will be accepted for this assignment (I will post the solution right after the deadline, so you can prepare for the exam.)

Please complete the online course evaluation for this class!

You can access the SFF site here. It will only take you five minutes, but it is important.

Some things about the course evaluations:

• Your feedback is anonymous.
• I don’t get the results until after the semester is completely over.
• Your feedback will help me improve and refine my teaching.

Here are the assignment instructions and an answer sheet to submit (in Word format).

Here is the data file you’ll need Restaurant.csv. 

For this assignment, you’ll need to modify the Python script you used in ICA #14. 

Here are the assignment instructions(in Word format).

For this assignment, you’ll need to modify the python script you used in ICA #13 (ICA13_Decision_tree.ipynb).

Due date: Wednesday, 12/10/2025, 11:59 pm.

Here are the assignment instructions and an answer sheet to submit (in Word format).

Here is the data file you’ll need BankLoan.csv. (Make sure that the name doesn’t change.)

For this assignment, you’ll need to modify the python script you used in ICA #13. (ICA13_Decision_tree.ipynb).

Due date: Tuesday, 11/11/2025, 11:59 pm.

Here are the instructions and csv file: Assignment #6 – Python Pandas and Sales.csv.

Submit your answer sheet as an HTML document through Canvas>Assignment>To-Do.

Due date: Tuesday, 10/28/2025, 11:59 pm.

Here are the instructions and JSON file: Assignment #5 – Python and JSON and restaurant.json.

Submit your answer sheet as an HTML document through Canvas>Assignment>To-Do.

Due date: Thursday, 10/16/2025, 11:59 pm.