COMP 499
Topics in Computer Science with Lab
Summer 2019 · Introduction to Data Analytics
Topics
- Big-data characteristics
- Data wrangling
- Exploratory analysis
- Hypothesis-driven experiments
- Model building and validation
- Data storytelling
- Structured and unstructured data
- Visualization
Readings
- Matteo Golfarelli and Stefano Rizzi, Data Warehouse Design: Modern Principles and Methodologies, 2009, chapter 1.
- Jure Leskovec, Anand Rajaraman and Jeff Ullman, Mining of Massive Datasets, accompanying book/course/videos.
- Tamara Munzner, Visualization Analysis and Design, CRC Press, 2014.
- Cole Nussbaumer Knaflic, Storytelling with Data, Wiley, 2015.
- Steven Skiena lecture videos on data munging, cleaning, correlation, clustering, visualization and machine learning.
- Trevor Hastie and Robert Tibshirani, machine-learning course videos, 2014.
Sources
- Course catalogue ↗2026–2027
- Official course page ↗Summer 2019
- Archived special-topic course code. The reading list is a selected extraction of named resources from the long public course page; links to further domain-specific videos remain in the source.