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 ...

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 ...

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 ...

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 ...

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 ...

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 l...

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 t...

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...

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...

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...

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...

Here is the course link. Course Description Bayesian estimation offers a flexible alternative to modeling techniques where the inferences depend on p-values. In this course, you’ll learn how to estimate linear regression models using Bayesian met...

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...