Course Schedule
This schedule may be updated as the semester progresses.
| Week |
Date |
Topic |
HTML |
PDF |
Rmd |
Exercises |
Lab |
Homework |
Project |
| Week 1 |
Wed, May 13 |
Introduction & R fundamentals |
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Thu, May 14 |
Data types and functions |
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Fri, May 15 |
Shell, git, and GitHub |
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Homework 1 assigned |
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| Week 2 |
Mon, May 18 |
Data structures and subsetting |
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Tue, May 19 |
Lab 1 |
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Wed, May 20 |
Subsetting and S3 objects |
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Homework 2 assigned |
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Thu, May 21 |
Package dplyr |
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Fri, May 22 |
Packages tidyr and purrr |
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| Week 3 |
Mon, May 25 |
Package ggplot2 |
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Tue, May 26 |
Lab 2 |
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Wed, May 27 |
Advanced visualizations |
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Thu, May 28 |
Spatial data with package sf |
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Exam assigned |
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Fri, May 29 |
Text data and regexs |
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| Week 4 |
Mon, Jun 01 |
Web scraping part I |
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Tue, Jun 02 |
Lab 3 |
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Wed, Jun 03 |
Web scraping part II |
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Thu, Jun 04 |
Web APIs |
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Fri, Jun 05 |
make |
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Homework 3 assigned |
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| Week 5 |
Mon, Jun 08 |
R Shiny part I |
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Tue, Jun 09 |
Lab 4 |
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Wed, Jun 10 |
R Shiny part II |
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Project assigned |
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Thu, Jun 11 |
Databases and SQL |
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Fri, Jun 12 |
SQLite and sqlite3 |
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| Week 6 |
Mon, Jun 15 |
Working with big data |
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Tue, Jun 16 |
Lab 5 |
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Wed, Jun 17 |
Parallelization |
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Homework 4 assigned |
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Thu, Jun 18 |
More parallelization and profiling |
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Fri, Jun 19 |
Spark & sparklyr part I |
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| Week 7 |
Mon, Jun 22 |
Spark & sparklyr part II |
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