D-Lab
- 240 followers
- Social Sciences Building, Berkeley, CA
- http://dlab.berkeley.edu
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Repositories
- Python-Data-Visualization Public
D-Lab's 4-hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more, using matplotlib and seaborn.
dlab-berkeley/Python-Data-Visualization’s past year of commit activity - R-Geospatial-Fundamentals Public
D-Lab's 6-hour introduction to working with geospatial data in R. Learn how to import, visualize, and analyze geospatial data in R.
dlab-berkeley/R-Geospatial-Fundamentals’s past year of commit activity - Python-Fundamentals Public
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.
dlab-berkeley/Python-Fundamentals’s past year of commit activity - python-text-analysis Public
D-Lab's introduction to text analysis with Python. Learn how to preprocess text data, apply bag-of-words methods, engage with word embeddings, and more, using Python.
dlab-berkeley/python-text-analysis’s past year of commit activity - Python-Data-Wrangling Public
D-Lab's 3-hour workshop diving deep into Pandas. Learn how to manipulate, index, merge, group, and plot data frames using Pandas functions.
dlab-berkeley/Python-Data-Wrangling’s past year of commit activity - Copilot-Fundamentals Public
D-Lab's 2 hour workshop on AI assisted coding in Visual Studio Code using GitHub Copilot
dlab-berkeley/Copilot-Fundamentals’s past year of commit activity - Computational-Social-Science-Training-Program Public
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.
dlab-berkeley/Computational-Social-Science-Training-Program’s past year of commit activity - Data-Science-Social-Justice Public
Materials for D-Lab / UC Berkeley Graduate Division's Data Science for Social Justice summer workshop. These materials provide an introduction to Python, natural language processing, text analysis, word embeddings, and network analysis. They also include discussions on critical approaches to data science to promote social justice.
dlab-berkeley/Data-Science-Social-Justice’s past year of commit activity