• Log In
  • Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar

Data and Analytics (Sec 4)

INSTRUCTOR: JAEHWUEN JUNG

Data and Analytics

MIS 2502.004 ■ Spring 2025 ■ Jaehwuen Jung
  • Announcements
  • Schedule
  • In-Class Activities
  • Assignments
  • About
    • Course details
    • Review and Exam Study Guides
    • softwaretool-instructions

In-Class Activities

In-class Activities Policy 

  • You should submit your own solutions to the in-class exercises, even though you work as groups in class;
  • You are allowed to miss two in-class activities without penalty.
  • The grade will be evaluated based on completeness and correctness and as “success or fail”. You will get a score of 1 if you succeed and 0 if you fail.

# 15 In-class Activities: Association Rules Using Python [Due by 11:59 pm on 4/17]

  • In-Class Exercise #15 – Association Rules Using Python
  • ICA15_AssociationRule.ipynb 
  • newBankRecords.csv

# 14 In-class Activities: Computing Support, Confidence, and Lift [Due by 11:59 pm on 4/15]

  • In-Class Exercise #14 – Computing Support, Confidence, and Lift

# 13 In-class Activities: Clustering in Python [Due by 11:59 pm on 4/10]

  • In-Class Exercise #13 –Clustering using Python 
  • ICA13_Clustering.ipynb
  • Census2000.csv

# 12 In-class Activities: Decision Trees in Python [Due by 11:59 pm on 4/3]

  • In-Class Exercise #12 –Decision Trees in Python  
  • ICA12_Decision_tree.ipynb
  • OrganicsPurchase.csv

# 11 In-class Activities: Data Visualization [Due by 11:59 pm on 3/18]

  • In-Class Exercise #11 – Data Visualization Principles
  • In-Class Exercise #11 – Food-Emporium Dashboard.xlsx

# 10 In-class Activities: Working with Pandas in Python [Due by 11:59 pm on 3/13]

  • In-Class Exercise #10 – Pandas in Python
  • In-Class Exercise #10 – NYC_Restaurant_Inspection.csv
  • In-Class Exercise #10 – NBA14Salaries.csv

# 8/9 In-class Activities: Working with JSON in Python [Due by 11:59 pm on 2/27]

  • In-Class Exercise #8 – JSON in Python
  • In-Class Exercise #8 – airbnb.json

# 7 In-class Activities: Python Data Structures [Due by 11:59 pm on 2/25]

  • In-Class Exercise #7 – Python Data Structures

# 6 In-class Activities: Python Basics Data Types [Due by 11:59 pm on 2/20]

  • In-Class Exercise #6 – Python Basics and Data Types

# 5 In-class Activities: Semi-structured Data [Due by 11:59 pm on 2/18]

  • In-Class Exercise #5 – Working with Semi-Structured Data

# 4 In-class Activities: SQL Part 2 [Due by 11:59 pm on 2/6]

  • In-Class Exercise #4 – SQL Part 2

# 3 In-class Activities: SQL Part 1 [Due by 11:59 pm on 1/30]

  • In-Class Exercise #3 – SQL Part 1

# 2 In-class Activities: SQL Pen and Paper [Due by 11:59 pm on 1/28]

  • In-Class Exercise #2 – Pen and Paper Query Exercise

# 1 In-class Activities: Creating Schemas [Due by 11:59 pm on 1/21]

  • In-Class Exercise #1 – Creating Schemas
  • Schema template

Primary Sidebar

QUICK INFO

  • Time and Locations: 11:00 am – 12:20 pm, Tuesday and Thursday, Alter 234
  • Instructor: Jaehwuen Jung (jaejung@temple.edu)
    Office hours: 2:30 pm – 3:30 pm, Tuesday and Thursday (Speakman 201D)
  • ITA: Giang Vu
    (giang.vu@temple.edu)
  • TA: Shuhua Wu
    (shuhua.wu@temple.edu)
    Office hours: 4 pm – 5 pm on the day of the assignment due (Zoom)

LINKS

  • Temple Canvas
  • MasteryGrids (Extra Points)
  • MySQL Workbench Instruction
  • Jupyter and Anaconda Instruction

Copyright © 2025 · Department of Management Information Systems · Fox School of Business · Temple University