Articles by Ryan Sheehy

Data Privacy in the Age of COVID-19

May 14, 2020 | Ryan Sheehy

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 ...
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Data Science R&D at TD Ameritrade

April 1, 2019 | Ryan Sheehy

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 you on the ...
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Critical Thinking in Data Science

March 25, 2019 | Ryan Sheehy

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 of mine ...
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The Credibility Crisis in Data Science

March 18, 2019 | Ryan Sheehy

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'm really excited ...
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New Course: Analyzing Election and Polling Data in R

November 1, 2018 | Ryan Sheehy

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 ...
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New Course: Mixture Models in R

October 10, 2018 | Ryan Sheehy

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 c...
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New Course: Developing R Packages

October 10, 2018 | Ryan Sheehy

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 func...
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New Course: Factor Analysis in R

October 3, 2018 | Ryan Sheehy

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 const...
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New Course: Generalized Linear Models in R

September 26, 2018 | Ryan Sheehy

Here is the course link. Course Description Linear regression serves as a workhorse of statistics, but cannot handle some types of complex data. A generalized linear model (GLM) expands upon linear regression to include non-normal distributions inc...
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New Course: A/B Testing in R

September 20, 2018 | Ryan Sheehy

Here is the course link. Course Description In this course, you will learn the foundations of A/B testing, including hypothesis testing, experimental design, and confounding variables. You will also be exposed to a couple more advanced topics, sequ...
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New Course: Working with Data in the Tidyverse

September 12, 2018 | Ryan Sheehy

Here is the course link. Course Description In this course, you'll learn to work with data using tools from the tidyverse in R. By data, we mean your own data, other people's data, messy data, big data, small data - any data with rows and columns that comes your way! ... [Read more...]

New Course: Modeling with Data in the Tidyverse

September 12, 2018 | Ryan Sheehy

Here is the course link. Course Description In this course, you will learn to model with data. Models attempt to capture the relationship between an outcome variable of interest and a series of explanatory/predictor variables. Such models can be used for both explanatory purposes, e.g. "Does knowing professors' ... [Read more...]

New Course: Bayesian Modeling with RJAGS

August 31, 2018 | Ryan Sheehy

Here is the course link. Course Description The Bayesian approach to statistics and machine learning is logical, flexible, and intuitive. In this course, you will engineer and analyze a family of foundational, generalizable Bayesian models. These r... [Read more...]

New Course: Analyzing Survey Data in R

August 15, 2018 | Ryan Sheehy

Here is the course link. Course Description You've taken a survey (or 1000) before, right? Have you ever wondered what goes into designing a survey and how survey responses are turned into actionable insights? Of course you have! In Analyzing Surve... [Read more...]
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