Welcome to STATS 68 - Statistical Computing and Exploratory Data Analysis
Introduces key concepts in statistical computing. Techniques such as exploratory data analysis, data visualization, simulation, and optimization methods, will be presented in the context of data analysis within a statistical computing environment.
Prerequisite: STATS 7 and ICS 31
Introduces key concepts in statistical computing. Techniques such as exploratory data analysis, data visualization, simulation, and optimization methods, will be presented in the context of data analysis within a statistical computing environment.
Prerequisite: STATS 7 and ICS 31
Course Goals
By the end of this course you will be able to:
By the end of this course you will be able to:
- explore data using descriptive statistics and visualizations;
- read, write, and tidy up datasets;
- write human- and machine-readable code using R;
- adopt reproducible workflow practices;
- simulate data efficiently.
Typical Week Workflow
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Monday 9 am
Weekly course content videos and assignments are released on this website under Schedule.
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Tuesday 10:30 - 11:20 am
Federica holds office hours.
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Wednesday 2:00 - 2:50 pm
Prof. Dogucu holds office hours.
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Wednesday 5:00 - 5:50 pm
Prof. Dogucu holds office hours.
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Wednesday 11:59 pm
Quizzes are due.
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Friday 10:30 - 11:20 am
Federica holds office hours.
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Friday 11:59 pm
Homework is due.
Important Dates
Final Project Proposal due May 7th at 11:59 pm
Final Project Presentation due June 8th at 1:30 pm