Biostat 203B

syllabus

schedule (lec 1)

schedule (lec 80)

announcements

Course Schedule

BIOSTAT 203B tentative schedule and handouts (expect frequent updates)

BruinLearn: https://bruinlearn.ucla.edu/courses/176236
Course announcements will be sent via BruinLearn.

Slack channel (required): fill out this form to join.

Recommended readings:

Binder

Week Tuesday Thursday Homework
1 1/9 introduction and course logistics [slides: qmd, html], Linux basics [slides: qmd, html] 1/11 lab 1 (R, RStudio, Quarto, SSH) [slides: qmd, html], lab 2 (homework) [slides: qmd, html]  
2 1/16 reproducible research [slides: qmd, html], Git/GitHub [slides: qmd, html] 1/18 Docker [slides: qmd, html], lab 3 (Docker) [slides: qmd, html] HW1 [qmd: qmd, html]
3 1/23 data ingestion and tidying [slides: qmd, html] 1/25 data transformation with dplyr [slides: qmd, html] HW2 [qmd: qmd, html]
4 1/30 data visualization with ggplot2 [slides: qmd, html] 2/1 date and time [slides: qmd, html]  
5 2/6 strings and regex [slides: qmd, html] 2/8 web scraping [slides: qmd, html] HW3 [qmd: qmd, html]
6 2/13 lab 4 (hw3), databases intro. [slides: qmd, html], dbplyr [slides: qmd, html] 2/15 shiny for interactive graphics [slides: qmd, html]  
7 2/20 statistical learning (intro.) [slides: qmd, html] 2/22 machine learning workflow using tidymodels [slides: qmd, html] HW4 [qmd: qmd, html]
8 2/27 neural network (intro.) [slides: qmd, html] 2/29 neural network (practice) [slides: qmd, html]  
9 3/5 cloud computing with GCP [slides: qmd, html] 3/7 cluster computing at UCLA [tutorial] HW5 [qmd: qmd, html]
10 3/12 3/14 R programming (benchmark, debug, profile) [slides: qmd, html], Rcpp, parallel computing, R package [slides: qmd, html]