D-Lab (dlab-berkeley)

D-Lab

dlab-berkeley

Organization data from Github https://github.com/dlab-berkeley

The social science data lab at UC Berkeley

Location:Social Sciences Building, Berkeley, CA

Home Page:dlab.berkeley.edu

GitHub:@dlab-berkeley

D-Lab's repositories

Computational-Social-Science-Training-Program

This course is a rigorous, year-long introduction to computational social science. We cover topics spanning reproducibility and collaboration, machine learning, natural language processing, and causal inference. This course has a strong applied focus with emphasis placed on doing computational social science.

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Python-Machine-Learning

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn in Python.

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Python-Fundamentals

D-Lab's 6-part, 12-hour introduction to Python. Learn how to create variables, use methods and functions, work with if-statements and for-loops, and do data analysis with Pandas, using Python and Jupyter.

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R-Fundamentals

D-Lab's 4 part, 8 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.

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Python-Web-Scraping

D-Lab's 2 hour introduction to web scraping in Python. Learn how to scrape HTML/CSS data from websites using Requests and Beautiful Soup.

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Qualtrics-Fundamentals

D-Lab's two-part introduction to Qualtrics. Learn how to design and manage your own surveys in Qualtrics.

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AI-Assisted-Coding-In-R

D-Lab's 2-hour workshop on AI-assisted coding in Visual Studio Code using GitHub Copilot and R.

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Python-NLP-Fundamentals

D-Lab's introduction to NLP in Python. Learn how to preprocess text data, apply bag-of-words methods, engage with word embeddings, and more, using Python.

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LLMs-Exploratory-Research

D-Lab's 2-hour introduction to using LLMs for exploratory research.

R-Census-Data

Workshop on fetching and mapping census data with tidycensus

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R-Geospatial-Fundamentals

D-Lab's 4-hour introduction to working with geospatial data in R. Learn how to import, visualize, and analyze geospatial data in R.

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Python-APIs-for-Large-Language-Models

D-Lab's 2-hour introduction to using APIs to access Large Language Models. Learn API setup & authentication, API call formatting, creating structured outputs, and more.

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Python-GPT-Fundamentals

D-Lab's 2-hour introduction to Generative Pretrained Transformers (GPT) for beginners. Learn about text encoding, word embeddings, and the transformer architecture upon which GPT is based. Create texts using a GPT model with the Transformers library in Python, and learn about hyperparameters such as temperature.

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Python-Web-APIs

D-Lab's 2 hour introduction to using web APIs in Python. Learn how to obtain data from web platforms using the New York Times API as a case study.

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R-Data-Visualization

D-Lab's 2-hour introduction to data visualization with R. Learn how to create histograms, bar charts, box plots, scatter plots, and more using ggplot2.

R-Data-Wrangling

D-Lab's 4 hour two-part workshop on data wrangling in R using tidyverse.

AI-Assisted-Coding-In-Python

D-Lab's 2-hour workshop on AI-assisted coding in Visual Studio Code using GitHub Copilot and Python..

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D-Lab-Workshop-Template

This repository serves as a template for all D-Lab workshops stored on GitHub. Use this template if you're creating a new D-Lab workshop.

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Python-Deep-Learning

D-Lab's 2-hour introduction to deep learning in Python. Learn how to create and train neural networks using Tensorflow and Keras.

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Python-Geospatial-Fundamentals

About D-Lab's 4-hour introduction to working with geospatial data in Python. Learn how to import, visualize, and analyze geospatial data in Python.

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Git-Playground

Practicing with Git.

COMPSS-211

Course materials for COMPSS211 at the UC Berkeley Master of Computational Social Science

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Python-SQL-Fundamentals

D-Lab's 2-hour introductory SQL workshop in Python. Navigate the structure of a relational database and become familiar with relational database concepts.

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compss211-hw2-git-troubleshooting-lab-git-disaster-repo

compss211-hw2-git-troubleshooting-lab-git-disaster-repo created by GitHub Classroom

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dlab-workshops

Overview of D-Lab workshops and the order in which to take them.

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Getting_Started_with_AI

D-Lab's 1 hour introduction to AI tools for beginners. An overview of the AI tool landscape and a quickstart guide to start using them.

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Instructor-Training

D-Lab's 2-part, 3.5 hour introduction to workshop instruction.

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Python-SQL-Intermediate

D-Lab's 2-hour intermediate SQL workshop in Python. Learn using different types of JOINs, primary and foreign keys, subqueries, and more.

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R-CPH-Workshop

D-Lab's 1.5 hour foray into R basics for CPH.

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