Although programming aspects of machine learning in R and Python are challenging in themselves, the need to understand fundamental mathematical aspects is obligatory. It is unfortunately common in the social sciences to apply machine learning techniques to solve a particular problem without necessarily understanding their numerical underpinnings.

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Although programming aspects of machine learning in R and Python are challenging in themselves, the need to understand fundamental mathematical aspects is obligatory. It is unfortunately common in the social sciences to apply machine learning techniques to solve a particular problem without necessarily understanding their numerical underpinnings.

Although programming aspects of machine learning in R and Python are challenging in themselves, the need to understand fundamental mathematical aspects is obligatory. It is unfortunately common in the social sciences to apply machine learning techniques to solve a particular problem without necessarily understanding their numerical underpinnings.

So you’ve got some of your graduate classes under your belt, and it's time to begin an original research project. But how exactly are you going to go about surveying voters in Tanzania, interviewing public health officials in France, or running focus groups with seasonal farm workers in the Central Valley?

Python Practice is a working group on the UC Berkeley campus, sponsored by the D-Lab. We hold informal weekly meetings teaching and learning about different topics in the Python programming language, especially for social science, data science, and visualization.

The emerging discipline of Learning Analytics represents a unique opportunity to build bridges between campus researchers, research computing, and teaching and learning software and practitioners (see https://solaresearch.org/).

So you’ve got some of your graduate classes under your belt, and it's time to begin an original research project. But how exactly are you going to go about surveying voters in Tanzania, interviewing public health officials in France, or running focus groups with seasonal farm workers in the Central Valley?

Python Practice is a working group on the UC Berkeley campus, sponsored by the D-Lab. We hold informal weekly meetings teaching and learning about different topics in the Python programming language, especially for social science, data science, and visualization.

Are you slugging through your weekly stats assignments?

Are you trying to familiarize yourself with Stata to work on your thesis?

Are you an overachiever and just curious about the wonders of statistical programming?

If you don’t want to struggle through learning Stata alone, we’re here.

The emerging discipline of Learning Analytics represents a unique opportunity to build bridges between campus researchers, research computing, and teaching and learning software and practitioners (see https://solaresearch.org/).

Are you slugging through your weekly stats assignments?

Are you trying to familiarize yourself with Stata to work on your thesis?

Are you an overachiever and just curious about the wonders of statistical programming?

If you don’t want to struggle through learning Stata alone, we’re here.

So you’ve got some of your graduate classes under your belt, and it's time to begin an original research project. But how exactly are you going to go about surveying voters in Tanzania, interviewing public health officials in France, or running focus groups with seasonal farm workers in the Central Valley?

Python Practice is a working group on the UC Berkeley campus, sponsored by the D-Lab. We hold informal weekly meetings teaching and learning about different topics in the Python programming language, especially for social science, data science, and visualization.

Are you slugging through your weekly stats assignments?

Are you trying to familiarize yourself with Stata to work on your thesis?

Are you an overachiever and just curious about the wonders of statistical programming?

If you don’t want to struggle through learning Stata alone, we’re here.

The emerging discipline of Learning Analytics represents a unique opportunity to build bridges between campus researchers, research computing, and teaching and learning software and practitioners (see https://solaresearch.org/).

Are you slugging through your weekly stats assignments?

Are you trying to familiarize yourself with Stata to work on your thesis?

Are you an overachiever and just curious about the wonders of statistical programming?

If you don’t want to struggle through learning Stata alone, we’re here.