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An election-forecasting model for the German federal parliament
Replication data for "Protest movements as deadly as Iranβs often end in revolution or civil war"
A repository containing the course notes and worked examples for a six week course in the R statistical programming language aimed at helping psychology students and faculty to learn R. This course was taught live at the University of Melbourne, Australia in 2016.
D-Lab's 3 hour introduction to basic Bash commands and using version control with Git and Github.
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.
SAS Programming Professional Certification via Coursera
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Replication files for "After a stumbling start, the EU is vaccinating at a fast pace"
Estimated IFR based on country's population age distributions
Source code and data for The Economist's covid-19 excess deaths tracker
The Economist's model to estimate excess deaths to the covid-19 pandemic
The Economist's seroprevalence model estimating American weekly covid-19 infections based on a combination of death by age and sex, IFR by age and sex, and confirmed cases.
Estimates of excess deaths in Wuhan for The Economist "Daily Chart"
Notes and labs from SAS Introduction to Statistical Concepts
Notes and labs from SAS Macro Language 1 Essentials
Notes and labs from SAS Programming 1 Essentials ECPRG193
Notes and labs from SAS Programming 2 Data Manipulation Techniques -- ECPRG293
Notes and labs from SAS Programming 3 - Advanced Techniques and Efficiencies -- ECPRG393
Notes and labs from SAS Programming for R Users
Notes and labs from SAS SQL 1 - Essentials -- ECSQL193
Notes and labs from SAS Statistics 1 - Introduction to ANOVA, Regression and Logistic Regression
Chrome extension to read economist.com in dark mode
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.
Required files and notebooks for the Microsoft Databricks Day workshop
Community Material Deprivation Index
D-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 create charts and pivot tables.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.