Coding in the Classroom | Stats + Stories Episode 186 episode artwork

EPISODE · Apr 29, 2021 · 26 MIN

Coding in the Classroom | Stats + Stories Episode 186

from Stats + Stories · host The Stats + Stories Team

Data science is becoming an ever more visible and important part of our lives with universities around the US, working to create or strengthen data science programs. At the same time there's a growing recognition of the need for data science outreach, particularly in order to reach underrepresented populations. Data science outreach is the focus of this episode of stats and stories with guest James Dickens. James Dickens is a Professorial Lecturer of Mathematics and Statistics at American University (Washington DC) since 2014; specializing now in Data Science. Specifically, teaching graduate courses in the Data Science program. Research topics of interest focus on the usage and the applications of the R programming language and the infusion of Python as learning aid in standard classes of mathematics.

Data science is becoming an ever more visible and important part of our lives with universities around the US, working to create or strengthen data science programs. At the same time there's a growing recognition of the need for data science outreach, particularly in order to reach underrepresented populations. Data science outreach is the focus of this episode of stats and stories with guest James Dickens. James Dickens is a Professorial Lecturer of Mathematics and Statistics at American University (Washington DC) since 2014; specializing now in Data Science. Specifically, teaching graduate courses in the Data Science program. Research topics of interest focus on the usage and the applications of the R programming language and the infusion of Python as learning aid in standard classes of mathematics.

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Coding in the Classroom | Stats + Stories Episode 186

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This episode was published on April 29, 2021.

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Data science is becoming an ever more visible and important part of our lives with universities around the US, working to create or strengthen data science programs. At the same time there's a growing recognition of the need for data science...

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