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Data Analysis and Visualization

UDSC-402

Course Resources

FileLink
1SyllabusDownload
2Textbook 1 - Data Preparation for MLDownload
3Textbook 2 - Principles of Data WranglingDownload
4Textbook 3 - Show Me the NumbersDownload

Foundational Resources

FileLink
1Prerequisite Diagnostic TestDownload
2Lecture Notes - BasicsDownload
3Anscombe QuartetDownload
4Datasaurus DozenDownload
5Datasaurus Dozen ExcelDownload

Lecture Materials

FileLink
1Lecture 1 - Data Cleaning - SlidesDownload
2Lecture 1 - Data Cleaning - NotesDownload
3Lecture 1 - Data Cleaning - CodeDownload
4Lecture 2 - Principles of Data Wrangling - NotesDownload
5Lecture 3 - Designing Tables and Graphs to Enlighten - NotesDownload

Assignments

FileLink
1AssignmentDownload

Student Presentations

AkashdeepPyous PradhanRamaSwaroopGupteswar
Rajesh KumarSuvamJagan

Key Text(s)

  • Jason Brownlee, Data Preparation For Machine Learning, Machine Learning Mastery, 2020.
  • Rattenbury, Hellerstein, Heer, Kandel & Carreras, Principles of Data Wrangling, O'Reilly, 2017.
  • Stephen Few, Show Me the Numbers, 2nd Edition, Analytics Press, 2012.

Course Snapshot

  • L-T-P-C3-0-1-4
  • Total Periods70
  • PrerequisitesBasic Python/R

Prerequisite Resources

Python.org — Beginner's Guide
Official getting-started guide for Python.
swirl (R programming, in R)
Interactive R fundamentals refresher.
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