Publications by Ryan Sheehy
New Course: Factor Analysis in R
Here is the course link. Course Description The world is full of unobservable variables that can’t be directly measured. You might be interested in a construct such as math ability, personality traits, or workplace climate. When investigating constructs like these, it’s critically important to have a model that matches your theories and data....
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New Course: Developing R Packages
Here is the course link. Course Description In this course, you will learn the end-to-end process for creating an R package from scratch. You will start off by creating the basic structure for your package, and adding in important details like functions and metadata. Once the basic components of your package are in place, you will learn about how...
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New Course: Mixture Models in R
Here is the course link. Course Description Mixture modeling is a way of representing populations when we are interested in their heterogeneity. Mixture models use familiar probability distributions (e.g. Gaussian, Poisson, Binomial) to provide a convenient yet formal statistical framework for clustering and classification. Unlike standard cluste...
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New Course: Visualization Best Practices in R
Here is the course link. Course Description This course will help you take your data visualization skills beyond the basics and hone them into a powerful member of your data science toolkit. Over the lessons we will use two interesting open datasets to cover different types of data (proportions, point-data, single distributions, and multiple dist...
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New Course: Interactive Data Visualization with rbokeh
Here is the course link. Course Description Data visualization is an integral part of the data analysis process. This course will get you introduced to rbokeh: a visualization library for interactive web-based plots. You will learn how to use rbokeh layers and options to create effective visualizations that carry your message and emphasize your i...
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New Course: Analyzing Election and Polling Data in R
Here is the course link. Course Description This is an introductory course to the R programming language as applied in the context of political data analysis. In this course students learn how to wrangle, visualize, and model data with R by applying data science techniques to real-world political data such as public opinion polling and election r...
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The Credibility Crisis in Data Science
Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Skipper Seabold, a Director of Data Science at Civis Analytics. Introducing Skipper Seabold Hugo: Hi there, Skipper, and welcome to Data Framed. Skipper: Thanks. Happy to be here. Hugo: Great to have you on the show. I’...
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Critical Thinking in Data Science
Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Debbie Berebichez, a physicist, TV host and data scientist and is currently the Chief Data Scientist at Metis in NY. Introducing Debbie Berebichez Hugo: Hi there, Debbie, and welcome to DataFramed. Debbie: Hi, Hugo. It’s a pleasure ...
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Data Science R&D at TD Ameritrade
Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Sean Law, a Senior Applied Researcher and Data Scientist at TD Ameritrade. Introducing Sean Law Hugo: Hi there, Sean, and welcome to DataFramed. Sean: Thanks for having me, Hugo. Hugo: It’s a real pleasure to have yo...
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Data Privacy in the Age of COVID-19
Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Katharine Jarmul, Head of Product at Cape Privacy. Introducing Katharine Jarmul Hugo Bowne Anderson: Hey Katharine. Katharine Jarmul: Hi Hugo. Hugo Bowne Anderson: How are you? Katharine Jarmul: Good. How are you? Hugo Bowne Anderson: Pretty good. So I’m goi...
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