Welcome to QM 492

Data Analysis and Visualization

by Dr. Mohammad AlMarzouq

Course website: bit.ly/mis492_syl

Course Plan:

• 8 weeks of course work.
• 8 weeks of Project work and self learning.

Course Work Plan:

• Week 1: Python primer.
• Week 2: Pandas and dataframes.
• Week 3: Loading/Storing data.
• Week 4: External data sources (The internet).
• Week 5: Exploring and cleaning Data.

Course Work Plan (cont.):

• Week 6: Reshaping data.
• Week 7: Plotting and Visualization
• Week 8: Topics to persue:
  • Natural Language Processing (NLP)
  • Machine Learning (ML)
  • Social Network Analysis (SNA)

Projects:

• Midterm project:
  • Design to evaluate skills from week 1 to 7
  • Unified requirements

Projects (cont.):

• Final Project:
  • Apply learned and self-learned skills
  • Phased:
    1. Proposal (class presentation)
    2. 1st Submission (meeting)
    3. 2nd Submission (meeting)
    4. Final Submission (class presentation)

Recommended resources:

• Think Python: Your reference for the python language (Free online book)
• Learning with Python 3 (RLE): Another textbook for your reference (Free online book)
• Python for Data Analysis: Excellent book on Pandas and data analysis and visualization (Paid)
• Programming Collective Intelligence: Best introductory book to making use of data (Paid)
• Python Online Documentaion: Must always return to this for reference, see tutorial and library reference (Free).