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R for Statistics Part 1: Descriptive Statistics In-Person / Online
This is a part of DSOS's WinteR of LeaRning Series.
In this 8-part series, you'll learn to apply practical statistics in R. This is Part 1: Descriptive Statistics, and we'll cover:
- Plotting Basics
- Describing Categorical Variables
- Describing Continuous Variables
Here is a recording from a previous session of this workshop.
Below are the links to register for the workshops in the series:
- R for Statistics Part 2: Confidence Intervals
- R for Statistics Part 3: Hypothesis Testing (Continuous Variables)
- R for Statistics Part 4: Hypothesis Testing (Categorical Variables)
- R for Statistics Part 5: Linear Regression
- R for Statistics Part 6: Logistic Regression
- R for Statistics Part 7: Survival Analysis
- R for Statistics Part 8: Mixed Modeling
Instructor
Albert Lee is an Instructional Designer for the Data Science & Open Scholarship team at the UCSF Library.
- Date:
- Friday, Feb 2 2024
- Time:
- 11:05am - 12:00pm
- Time Zone:
- Pacific Time - US & Canada (change)
- Location:
- Mission Bay FAMRI Library: Room CC150 (main reading room)
- Campus:
- Mission Bay
- Categories:
- Data Science > Programming
Registration has closed.
Albert Lee