D-Lab | Intelligent research design for data intensive social science

Introduction to Pandas

Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive. It enables doing practical, real world data analysis in Python.

In this workshop, we'll work with example data and go through the various steps you might need to prepare data for analysis.

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Introduction to Data Visualization in Python

*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.*

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

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Text Analysis Fundamentals: Part 1-3

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Introduction to Bash + Github

Overview

An introduction to programming basics in Bash and GitHub that are often assumed, but that you might have never had good instruction on!

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

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Tableau Bootcamp

Add data visualization to your communication toolbox without learning to code. Tableau cuts down the time you need to spend creating visualizations through an intuitive graphical user interface. Learn the basics in this hands-on workshop.

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Python Fundamentals: Part 1 - 4

Overview

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.

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R Fundamentals: Part 1 - 4

Overview

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 for free at our R workshops!