Pinned Repositories
DATA-601-Working-with-Data-and-Visualization
An introduction to fundamental data science concepts including basic data organization, data collection, and data cleaning. Provides a review of basic programming concepts in Python, as well as an introduction to problem-solving concepts including algorithmic complexity, recursion, vectorization, and regular expressions. Covers the fundamentals of
DATA-602-Statistical-Data-Analysis
An introduction to the foundations of statistical inference including the application of probability models to data, as well as an introduction to simulation-based and classical statistical inference, and the creation of statistical models with R.
DATA-603-Statistical-Modelling-with-Data
An introduction to the creation of complex statistical models, including exposure to multivariate model selection, prediction, the statistical design of experiments and analysis of data in R.
DATA-604-Working-with-Data-at-Scale
Data representation and simple file structures. An introduction to practical introduction to both SQL and NoSQL systems. Parallel and distributed storage and processing, including an introduction to cloud computing.
DATA-605-Final-Project
Data Story on League of Legends Esports for DATA 605 Final Project
DATA-606-Final-Project
DATA 606 - Statistical Methods in Data Science
DATA-606-Statistical-Methods-in-Data-Science
Design of surveys and data collection, bias and efficiency of surveys. Sampling weights and variance estimation. Multi-way contingency tables and introduction to generalized linear models with emphasis on applications.
DATA-607-Statistical-and-Machine-Learning-
Advancement of the linear statistical model including introduction to data transformation methods, classification, model assessment and selection. Exposure to both supervised learning and unsupervised learning.
DATA-608-Developing-Big-Data-Applications
Provides advanced coverage of tools and techniques for big data management and for processing, mining, and building applications that leverage large datasets. Addresses database and distributed storage design for both SQL and NoSQL systems, and focuses on the application of distributed computing tools to perform data integration,.
geo-guesser
Creation of an app building around an image classification AI model that can predict the country given an image from the game GeoGuessr
kaneiscoding's Repositories
kaneiscoding/DATA-606-Final-Project
DATA 606 - Statistical Methods in Data Science
kaneiscoding/geo-guesser
Creation of an app building around an image classification AI model that can predict the country given an image from the game GeoGuessr
kaneiscoding/DATA-601-Working-with-Data-and-Visualization
An introduction to fundamental data science concepts including basic data organization, data collection, and data cleaning. Provides a review of basic programming concepts in Python, as well as an introduction to problem-solving concepts including algorithmic complexity, recursion, vectorization, and regular expressions. Covers the fundamentals of
kaneiscoding/DATA-602-Statistical-Data-Analysis
An introduction to the foundations of statistical inference including the application of probability models to data, as well as an introduction to simulation-based and classical statistical inference, and the creation of statistical models with R.
kaneiscoding/DATA-603-Statistical-Modelling-with-Data
An introduction to the creation of complex statistical models, including exposure to multivariate model selection, prediction, the statistical design of experiments and analysis of data in R.
kaneiscoding/DATA-604-Working-with-Data-at-Scale
Data representation and simple file structures. An introduction to practical introduction to both SQL and NoSQL systems. Parallel and distributed storage and processing, including an introduction to cloud computing.
kaneiscoding/DATA-605-Final-Project
Data Story on League of Legends Esports for DATA 605 Final Project
kaneiscoding/DATA-606-Statistical-Methods-in-Data-Science
Design of surveys and data collection, bias and efficiency of surveys. Sampling weights and variance estimation. Multi-way contingency tables and introduction to generalized linear models with emphasis on applications.
kaneiscoding/DATA-607-Statistical-and-Machine-Learning-
Advancement of the linear statistical model including introduction to data transformation methods, classification, model assessment and selection. Exposure to both supervised learning and unsupervised learning.
kaneiscoding/DATA-608-Developing-Big-Data-Applications
Provides advanced coverage of tools and techniques for big data management and for processing, mining, and building applications that leverage large datasets. Addresses database and distributed storage design for both SQL and NoSQL systems, and focuses on the application of distributed computing tools to perform data integration,.
kaneiscoding/Web-Scraper
Rough web scraper used to gather information regarding students' exam submissions on the school's web-based assessment tool.