Introduction to Qualtrics

*NOTE: Due to limited resources and staff, we are only able to offer workshops to UC Berkeley affiliates, partners (LBL, UCSF), and invited guests. 

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Intro to Machine Learning in R: Part 1-2

*NOTE: Due to limited resources and staff, we are only able to offer workshops to UC Berkeley affiliates, partners (LBL, UCSF), and invited guests. 

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Advanced Data Wrangling in R: Part 1-2

*NOTE: Due to limited resources and staff, we are only able to offer workshops to UC Berkeley affiliates, partners (LBL, UCSF), and invited guests. We respectfully ask you not to register if you are not affliliated with UCB, LBL or UCSF.*
 
Overview
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SQL for R users

OVERVIEW

SQL is a viable option for anyone working with a large dataset. For this reason, SQL is a must-skill if you intend to work with Big Data or data-intensive organizations. The workshop aims to demonstrate that SQL is easy to learn, if you already know how to use DPLYR package in R. This will be a very hands-on workshop with live coding.

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Geospatial Data in R: Part 1-3

*NOTE: Due to limited resources and staff, we are only able to offer workshops to UC Berkeley affiliates, partners (LBL, UCSF), and invited guests. We respectfully ask you not to register if you are not affliliated with

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MAXQDA 2020: Introductory to Intermediate Functions

Qualitative Data Analysis (QDA) software is used to organize and structure data, codes, memos, and other components of a qualitative study, as well as support engagement in analysis. This workshop is for qualitative researchers, new and established, interested in learning about MAXQDA, a software for which D-Lab provides substantive support. Assuming no prior knowledge in MAXQDA, this workshop will introduce participants to the website where the software can be downloaded and numerous training materials can be accessed.

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Introduction to Qualitative Research, Coding, and Thematic Analysis

This workshop can serve as an introduction for participants who are new to qualitative research, as well as a refresher for those who have limited training. Beginning with an introduction to basic concepts (e.g., traditional methodologies and methods), this workshop will dedicate a significant amount of time to explaining the process of creating, organizing, and applying codes (i.e., ideas, concepts, categories) before discussing several key topics regarding engagement in thematic analysis (e.g., different types of themes and use of an analysis plan).

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GIS Fundamentals with QGIS, Part 1-2

This workshop will introduce methods for working with geospatial data in QGIS, a popular open-source desktop GIS program that runs on both PCs and Macs as well as linux computers. Participants will learn how to load, query and visualize point, line and polygon data. We will also introduce basic methods for processing spatial data, which are the building blocks of spatial analysis workflows. Coordinate reference systems and map projections will also be introduced.

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R Visualization

This workshop will provide an introduction to graphics in R with 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.

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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.

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

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