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Home: Welcome

Quick reference

OUR MISSION about Data Science

Providing easy-to-follow solutions for specific data related steps in various research environments

Help Starters to Learn DS

Providing quick guides of various computing languages or softwares for same data related methods

Help Experts to Improve DS Methods

Providing data science education for students and teachers worldwide.

Facilitate an International and Multilingual DS Communication

Researching data related methodologies in digital humanities and social sciences

Research DS Methodologies

Meet The Team

Lizhou (Leo) Fan

UCLA Class of 2020

Statistics and Digital Humanities

Founder & Lead Contributor

(since August 2019)

Huizi (Angela) Yu

UCLA Class of 2021

Statistics and Economics

Co-Founder & Contributor

(since August 2019)

Miles Chen, PhD

Lecturer of Statistics, UCLA

Supervisor (since August 2019)

Mariam Posner, PhD

Assistant Professor of Information Studies and Digital Humanities, UCLA

Supervisor (since September 2019)

Ashley Sanders, PhD

Vice Chair and Core Faculty of Digital Humanities, UCLA

Supervisor (since November 2019)

Kaixin (Cindy) Wang

UCLA Class of 2020

Statistics and Applied Mathematics

Contributor & Data Engineer

(August 2019 - April 2020)

Priyana Patel

UCLA Class of 2020

Cognitive Science and Digital Humanities

Contributor & Digital Research Analyst

(January 2020-April 2020)

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Eustina Kim

UCLA Class of 2021

Statistics and Digital Humanities

Contributor & Digital Research Analyst

(January 2020-April 2020)

Vicki Truong

UCLA Class of 2021

Statistics and Digital Humanities

Contributor & Digital Research Analyst

(January 2020-April 2020)

Michelle Lee

UCLA Class of 2022

Statistics and Digital Humanities

Contributor & Digital Research Analyst

(January 2020-April 2020)

Kedaar Sridhar

UCLA Class of 2022

Computer Science and Digital Humanities

Contributor & Digital Research Analyst

(January 2020-April 2020)

ALL POSTS

Machine Learning Basics - Tree Based Models

Angela Yu

Feb 13, 20203 min read

Machine Learning Basics - Tree Based Models

A decision tree is a flowchart-like structure in which each internal node represents a "test" on an attribute (e.g. whether a coin flip...

22 views0 comments

Machine Learning Basics - Lab 1

Angela Yu

Feb 13, 20200 min read

Machine Learning Basics - Lab 1

11 views0 comments

Model Validation in R

Angela Yu

Oct 29, 20191 min read

Model Validation in R

Video Walkthrough

29 views0 comments

Variable Transformation in R

Angela Yu

Oct 29, 20191 min read

Variable Transformation in R

Video Walkthrough Link to post: https://rpubs.com/huiziy/544399

18 views0 comments

Variable Selection using R

Angela Yu

Oct 22, 20191 min read

Variable Selection using R

Video Walkthrough

15 views0 comments

Building Linear Regression Model using R

Angela Yu

Oct 22, 20191 min read

Building Linear Regression Model using R

Video Walkthrough:

51 views0 comments

R LANGUAGE OVERVIEW

Kaixin Wang

Oct 15, 20192 min read

R LANGUAGE OVERVIEW

Introduction to using programming language R.

35 views0 comments

Advanced Data Manipulation in R

Kaixin Wang

Oct 14, 20190 min read

Advanced Data Manipulation in R

Advanced data manipulation - datetime and string manipulations.

30 views0 comments

Missing values with R

Kaixin Wang

Oct 9, 20190 min read

Missing values with R

Dealing with missing values using language R.

40 views0 comments

Converting data type with R

Kaixin Wang

Oct 9, 20190 min read

Converting data type with R

Data type coercion manipulation using language R.

37 views0 comments

Check and clean outliers with R

Kaixin Wang

Oct 9, 20190 min read

Check and clean outliers with R

Dealing with outlier in data using language R.

35 views0 comments

Lizhou (Leo) Fan

Oct 4, 20190 min read

Machine Learning ISLR Keynotes

15 views0 comments

OSCR Project

An Online Statistical Computing Reference for Applied

Data Science in Digital Humanities and Social Sciences

LEARN TEACH INNOVATE

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