Biostat 203B

syllabus

schedule

announcements

Course Schedule

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

BruinLearn: https://bruinlearn.ucla.edu/courses/153453
Course announcements will be sent via BruinLearn.

Zoom link: https://ucla.zoom.us/j/97364661679
Office hours will be on Zoom.

Slack channel: https://uclabiostat20-upm3051.slack.com
Invitation link: https://join.slack.com/t/uclabiostat20-upm3051/shared_invite/zt-1lbqugiva-cM~EbB3wV5~5F8lgazK3Tg

Recommended readings:

Binder

Week Tuesday Thursday Homework
1 1/10 introduction and course logistics [slides: qmd, html], Linux basics [slides: qmd, html] 1/12 Lab: [slides: qmd, html] HW1 [qmd, html]
2 1/17 reproducible research [slides: qmd, html], Git/GitHub [slides: qmd, html] 1/19 Lab  
3 1/24 data ingestion and tidying [slides: qmd, html] 1/26 data visualization with ggplot2 [slides: qmd, html]  
4 1/31 data transformation with dplyr [slides: qmd, html] 2/2 date and time [slides: qmd, html] HW2 [qmd, html]
5 2/7 strings and regex [slides: qmd, html], web scraping [slides: qmd, html] 2/9 Lab  
6 2/14 shiny for interactive graphics [slides: qmd, html] 2/16 databases intro. [slides: qmd, html], dbplyr [slides: qmd, html] HW3 [qmd, html]
7 2/21 statistical learning (intro.) [slides: qmd, html] 2/23 neural network (intro.) [slides: qmd, html]  
8 2/28 neural network (practice) [slides: qmd, html] 3/2 machine learning workflow using tidymodels [slides: qmd, html]  
9 3/7 cloud computing with GCP [slides: qmd, html] 3/9 cluster computing at UCLA [tutorial] HW4 [qmd, html]
10 3/14 3/16 R programming (benchmark, debug, profile), Rcpp, parallel computing, R package