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Computational-Social-Science-Training-Program
Computational-Social-Science-Training-Program PublicForked from dlab-berkeley/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 cau…
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Python-Fundamentals
Python-Fundamentals PublicForked from dlab-berkeley/Python-Fundamentals
D-Lab's 3-part, 6 hour introduction to Python. Learn how to create variables, distinguish data types, use methods, and work with Pandas, using Python and Jupyter.
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R-Fundamentals
R-Fundamentals PublicForked from dlab-berkeley/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 RS…
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Bash-Git
Bash-Git PublicForked from dlab-berkeley/Bash-Git
D-Lab's 3 hour introduction to basic Bash commands and using version control with Git and Github.
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Data-Science-Social-Justice
Data-Science-Social-Justice PublicForked from dlab-berkeley/Data-Science-Social-Justice
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,…
Jupyter Notebook
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R-Machine-Learning
R-Machine-Learning PublicForked from dlab-berkeley/R-Machine-Learning
D-Lab's 4-hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.
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