D-Lab
- 299 followers
- Social Sciences Building, Berkeley, CA
- http://dlab.berkeley.edu
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- Python-Fundamentals
Python-Fundamentals PublicD-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 J…
- R-Fundamentals
R-Fundamentals PublicD-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…
- Qualtrics-Fundamentals
Qualtrics-Fundamentals PublicD-Lab's 3 hour introduction to Qualtrics Fundamentals. Learn how to design and manage your own surveys in Qualtrics.
- Stata-Fundamentals
Stata-Fundamentals PublicD-Lab's 9 hour introduction to performing data analysis with Stata. Learn how to program, conduct data analysis, create visualization, and conduct statistical analyses in Stata.
- Excel-Fundamentals
Excel-Fundamentals PublicD-Lab's six-hour introduction to the basics of Microsoft Excel (with support materials for Google Sheets). Learn Excel functions for handling text, math, dates, logic, and calculations; learn to cr…
Repositories
- GitHub-Fundamentals Public
D-Lab's 2 hour introduction to using the version control software Git with GitHub Desktop, a GUI Git client. Learn how to use version control, create repositories, branching, merging, and using GitHub Desktop to collaborate on software in your research workflows.
dlab-berkeley/GitHub-Fundamentals’s past year of commit activity - R-Census-Data Public
dlab-berkeley/R-Census-Data’s past year of commit activity - Python-Deep-Learning Public
D-Lab's 2-hour introduction to deep learning in Python. Learn how to create and train neural networks using Tensorflow and Keras.
dlab-berkeley/Python-Deep-Learning’s past year of commit activity - Python-Machine-Learning Public
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.
dlab-berkeley/Python-Machine-Learning’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 - R-Geospatial-Fundamentals Public
D-Lab's 4-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 - Command-Line-Fundamentals Public
D-Lab's 1-hour introduction to the command line. This workshop provides a basic introduction to interacting with your computer via terminal. It focuses on Bash or Z, which are some of the most commonly used Unix/Linux shells.
dlab-berkeley/Command-Line-Fundamentals’s past year of commit activity - R-Copilot-Assisted-Coding-Workshop Public
D-Lab's 2-hour workshop on AI-assisted coding in Visual Studio Code using GitHub Copilot
dlab-berkeley/R-Copilot-Assisted-Coding-Workshop’s past year of commit activity