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MIS 2502: Data Analytics (Spring 2019)

Instructor: Zhe Deng, Section 004

DATA ANALYTICS

MIS 2502.004 ■ SPRING 2019 ■ ZHE DENG
  • Schedule
  • Announcements
  • Software
    • Setting up MySQL Workbench
    • Setting up Tableau Prep and Tableau Desktop
    • Setting up R and RStudio
  • Gradebook
  • About
    • Syllabus
    • Course Objectives and Policies
    • Evaluation and Grading
    • PRO Point Requirement
    • Instructor

Assignments

Assignment Policy 

  • You should submit your own solutions to the assignments on Canvas under assignments section;
  • Submit your answers in a single Word or PDF document (work as professional people);
  • If you do not follow the instructions, your assignment will be counted late;
  • Late Assignment policy: All assignments will be assessed a 50% penalty (subtracted from that assignment’s score) for the first day (i.e. 24 hours) they are late.

Assignment #1: ER Modeling

(Instruction | Solution)


Assignment #2: SQL #1

(Instruction | Solution)


Assignment #3: SQL #2

(Instruction | Solution)


Assignment #4: ETL using Tableau Prep

(Instruction | Solution)


Assignment #5: Introduction to R

(Instruction | Dataset | Solution)


Assignment #6: Classification Using Decision trees in R

(Instruction | Dataset | Solution)


Assignment #7: Clustering Analysis in R

(Instruction | Dataset | Solution)


Assignment #8: Association Rules Mining in R

(Instruction | R script | Dataset | Solution)


 

 

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RECENT ANNOUNCEMENTS

Reminder: Extra Assignment and eSFF

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Study Guide and Extra Office Hours on April 29th

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Office Hours

  • Instructor: Zhe Deng
          Wednesdays, 15:00 – 17:00
          201 Speakman Hall
          Or by email appointment
  • ITA: David Shin
          Mondays, 15:00 – 16:30
          602 Alter Hall
          david.shin@temple.edu

 

Links

  • Temple Canvas
  • Class Capture
  • ERDPlus

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