dlab-berkeley / Python-Data-Wrangling
D-Lab's 3-hour workshop diving deep into Pandas. Learn how to manipulate, index, merge, group, and plot data frames using Pandas functions.
☆16Updated 7 months ago
Alternatives and similar repositories for Python-Data-Wrangling
Users that are interested in Python-Data-Wrangling are comparing it to the libraries listed below
Sorting:
- D-Lab's 4 part, 8 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualiz…☆38Updated 4 months ago
- 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…☆49Updated 7 months ago
- D-Lab's 3 hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compo…☆56Updated 2 years ago
- D-Lab's 3 hour introduction to basic Bash commands and using version control with Git and Github.☆134Updated last year
- D-Lab's 6 hour introduction to data wrangling with R. Learn how to manipulate dataframes using the tidyverse in R.☆38Updated 2 years ago
- D-Lab's 3 hour introduction to data visualization with R. Learn how to create histograms, bar plots, box plots, scatter plots, compound f…☆28Updated last year
- D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model sele…☆82Updated 2 months ago
- D-Lab's 12 hour introduction to Python. Learn how to create variables and functions, use control flow structures, use libraries, import d…☆169Updated 2 years ago
- D-Lab's 12 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations,…☆140Updated 2 years ago
- Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis…☆124Updated last year
- D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using t…☆46Updated 2 years ago
- Workshop on fetching and mapping census data with tidycensus☆14Updated 3 years ago
- Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles☆192Updated 4 years ago
- 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.☆14Updated last year
- This is the repository for D-Lab's Geospatial Fundamentals in R with sf workshop.☆53Updated last year
- reproducible research project template for R using Renv and snakemake with an econ application☆63Updated 3 years ago
- Introduction to Programming for UC Berkeley's D-Lab☆24Updated 6 years ago
- The joy and power of functional programming in R☆28Updated 3 years ago
- SQL for R Users, Workshop☆21Updated 4 years ago
- A scalable distillation of D-Lab's R-FUN!damentals series to help you get onboarded to R fast!☆9Updated 4 years ago
- D-Lab's 3 hour introduction to Qualtrics Fundamentals. Learn how to design and manage your own surveys in Qualtrics.☆14Updated last year
- Streamline a data analysis process☆73Updated this week
- Materials for the August 2020 virtual R bootcamp at UC Berkeley. See below (under the listing of files) for information about the bootcam…☆19Updated 4 years ago
- A cheatsheet for basic best practice in R programming☆118Updated 6 months ago
- D-Lab's 9 hour introduction to performing data analysis with Stata. Learn how to program, conduct data analysis, create visualization, an…☆91Updated 2 years ago
- D-Lab R-intensive teaching materials☆22Updated 8 years ago
- ☆23Updated 3 years ago
- ☆13Updated 2 years ago
- For when your colors absolutely should not be excluded from the narrative.☆1Updated last year
- Math Prefresher Text☆31Updated 9 months ago