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1. Python-Data-Wrangling Python-Data-Wrangling Public

   Forked from dlab-berkeley/Python-Data-Wrangling-Legacy

   D-Lab's 3 hour introduction to data wrangling in Python. Learn how to import and manipulate dataframes using pandas in Python.

   Jupyter Notebook

2. R-Data-Wrangling R-Data-Wrangling Public

   Forked from dlab-berkeley/R-Data-Wrangling-Legacy

   D-Lab's 6 hour introduction to data wrangling with R. Learn how to manipulate dataframes using the tidyverse in R.

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3. Python-Data-Visualization Python-Data-Visualization Public

   Forked from dlab-berkeley/Python-Data-Visualization-Legacy

   D-Lab's 3 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.

   Jupyter Notebook

4. Python-Web-APIs Python-Web-APIs Public

   Forked from dlab-berkeley/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.

   Jupyter Notebook

5. R-Machine-Learning R-Machine-Learning Public

   Forked from dlab-berkeley/R-Machine-Learning-Legacy

   D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.

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6. Python-Fundamentals-Pilot Python-Fundamentals-Pilot Public

   Forked 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.

   Jupyter Notebook