— Data & Web Technologies for Data Analysis

Prerequisites & course information

This version has ended; see updated course, below. Course Description: Essentials of using relational databases and SQL. Processing data in blocks. Scraping Web pages and using Web services/APIs. Basics of text mining. Interactive data visualization with Web technologies. Computational data workflow and best practices. Statistical Methods. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Grade Mode: Letter. STA 220 — Data & Web Technologies for Data Analysis (4 units) Course Description: Essentials of using relational databases and SQL. Processing data in blocks. Scraping Web pages and using Web services/APIs. Basics of text mining. Interactive data visualization with Web technologies. Computational data workflow and best practices. Statistical Methods. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics & Biostatistics graduate students; Pass Two restricted to graduate students. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Grade Mode: Letter. STA 220 — Data & Web Technologies for Data Analysis (4 units) Course Description: Essentials of using relational databases and SQL. Processing data in blocks. Scraping Web pages and using Web services/APIs. Basics of text mining. Interactive data visualization with Web technologies. Computational data workflow and best practices. Statistical Methods. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics & Biostatistics graduate students; Pass Two restricted to graduate students. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027.