Pinned Repositories
cosc3570-introdatascience-fa18
This repository contains code, data and other resources for COSC/MATH 3570: Introduction to Data Science at Marquette University for Fall 2018. The official description of the course is as follows: This course is a first introduction to the new and rapidly evolving field of data science. We will understand the philosophy and basic concepts of doing data science through an active learning process. The student will learn how to use popular programming and data analysis platforms to clean, organize and analyze data from a modern machine learning perspective. Students are expected to read and practice specific lessons before coming to class. In class emphasis will be placed on practical interpretation, inference, visualization and navigating biases.
cosc4931-socialethicalimp-fa18
This is the github repository for COSC 4931: Social and Ethical Implications of Data for Fall 2018 at Marquette University. The official course description is as follows: An introduction to the ethical and social consequences of collecting, curating and analyzing data in academia, public and private contexts. This course takes a socio-technical stance - imagine this to be a mix of a sociology and computer science course. There will be lots of reading, writing, coding and discussions.
DataScienceProject
IntroDataScienceFinal
cosc4931-socialethicalimp-fa18
This is the github repository for COSC 4931: Social and Ethical Implications of Data for Fall 2018 at Marquette University. The official course description is as follows: An introduction to the ethical and social consequences of collecting, curating and analyzing data in academia, public and private contexts. This course takes a socio-technical stance - imagine this to be a mix of a sociology and computer science course. There will be lots of reading, writing, coding and discussions.
sarahkershisnik's Repositories
sarahkershisnik/cosc3570-introdatascience-fa18
This repository contains code, data and other resources for COSC/MATH 3570: Introduction to Data Science at Marquette University for Fall 2018. The official description of the course is as follows: This course is a first introduction to the new and rapidly evolving field of data science. We will understand the philosophy and basic concepts of doing data science through an active learning process. The student will learn how to use popular programming and data analysis platforms to clean, organize and analyze data from a modern machine learning perspective. Students are expected to read and practice specific lessons before coming to class. In class emphasis will be placed on practical interpretation, inference, visualization and navigating biases.
sarahkershisnik/IntroDataScienceFinal
sarahkershisnik/cosc4931-socialethicalimp-fa18
This is the github repository for COSC 4931: Social and Ethical Implications of Data for Fall 2018 at Marquette University. The official course description is as follows: An introduction to the ethical and social consequences of collecting, curating and analyzing data in academia, public and private contexts. This course takes a socio-technical stance - imagine this to be a mix of a sociology and computer science course. There will be lots of reading, writing, coding and discussions.
sarahkershisnik/DataScienceProject