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Python FUN!damentals: Part 2

This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.

Part 2 Topics:

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Python FUN!damentals: Part 1

This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.

Part 1 Topics:

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R FUN!damentals: Part 4

R FUN!damentals Part 4: Putting it all together

In the final part, we will review data importation, subsetting, and visualization. Students will then be given the majority of time to reproduce a workflow on two different datasets, ask questions, and reveiw the solutions as a group.

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R FUN!damentals: Part 3

R FUN!damentals Part 3: Data Exploration and Analysis

Students will be introduced to data exploration and analysis in R. You will learn how to summarize data and explore it with histograms, scatterplots, and boxplots. You will also be introduced to coding statistical data analysis via t-tests, analyses of variance, correlation, and linear regression.

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The available spaces and the waitlist for this event are both full.

R FUN!damentals: Part 2

R FUN!damentals Part 2: Subsetting and Reshaping

Students will be introduced to loading data from files and various ways to subset it with an emphasis on bracket notation. You will also learn how to use logical vectors, search for and subset missing data, and merge data frames. Terms like subsetbracket notation, and logical vectors will be defined or reintroduced in Part 2.

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R FUN!damentals: Part 1

Data are the foundations of the social and biological sciences. Familiarizing yourself with a programming language can help you better understand the roles that data play in your field. Learn to develop and train your data skills at the free D-Lab R workshops!

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The available spaces and the waitlist for this event are both full.

Mapping Spatial Inequities: Tackling Immigrant's Local Deprivation in the Bay Area

Posted: Sep, 18, 2018

By: Jasmijn Slootjes

The New Geography of Poverty & Migration

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R Graphics with ggplot2

This workshop will provide a comprehensive overview of graphics in R, including base graphics and ggplot2. Participants will learn how to construct, customize, and export a variety of plot types in order to visualize relationships in data. We will also explore the basic grammar of graphics, including the aesthetics and geometry layers, adding statistics, transforming scales, and coloring or panelling by groups.

Click here for install instructions and workshop materials.

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Data Wrangling and Manipulation in R

It is often said that 80% of data analysis is spent on the process of cleaning and preparing the data. This workshop will introduce tools (notably dplyr and tidyr) that makes data wrangling and manipulation much easier. Participants will learn how to use these packages to subset and reshape data sets, do calculations across groups of data, clean data, and other useful stuff.

Click here for install instructions and workshop materials.

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Stata FUN!damentals: Part 3

This three-part series will cover the following materials:

Part 1:  Introduction

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