Research for Global Development

Educate Me, Coursera


FlowingData points out some of the newest course offerings from Coursera, particularly around the online education company’s statistics and computing course offerings. We often hear from clients that are so inundated with data that parsing anything in a meaningful way becomes extremely difficult and time consuming. But a big part of understanding and parsing meaningful data is having a solid foundation in the principles of statistics and data analysis as well as a working knowledge of the power of current information technology to parse information. Familiarity can be developed with both subjects through Coursera, and given how easy it is to access top-level professors engaging with topics of research and evaluation, we plan on using such online teaching tools for our own staff enrichment as well.

Below you’ll find some brief video introductions to the two courses highlighted over at FlowingData as well as links to their descriptions on Coursera. I am personally excited to dive into R programming in the Computing for Data Analysis class, as most of my experience is with Stata or SPSS. I’ll keep you updated with progress on projects I am working on or interesting facts/tools I come across through this course (or, if I am feeling ambitious, these courses!). If you plan on taking the course as well, be in touch–study groups (and code-sharing) are always preferable to going it alone.

Computing for Data Analysis with Roger Peng of Johns Hopkins Bloomberg School of Public Health


Data Analysis with Jeff Leek of Johns Hopkins Bloomberg School of Public Health

InterMedia

Educate Me, Coursera


FlowingData points out some of the newest course offerings from Coursera, particularly around the online education company’s statistics and computing course offerings. We often hear from clients that are so inundated with data that parsing anything in a meaningful way becomes extremely difficult and time consuming. But a big part of understanding and parsing meaningful data is having a solid foundation in the principles of statistics and data analysis as well as a working knowledge of the power of current information technology to parse information. Familiarity can be developed with both subjects through Coursera, and given how easy it is to access top-level professors engaging with topics of research and evaluation, we plan on using such online teaching tools for our own staff enrichment as well.

Below you’ll find some brief video introductions to the two courses highlighted over at FlowingData as well as links to their descriptions on Coursera. I am personally excited to dive into R programming in the Computing for Data Analysis class, as most of my experience is with Stata or SPSS. I’ll keep you updated with progress on projects I am working on or interesting facts/tools I come across through this course (or, if I am feeling ambitious, these courses!). If you plan on taking the course as well, be in touch–study groups (and code-sharing) are always preferable to going it alone.

Computing for Data Analysis with Roger Peng of Johns Hopkins Bloomberg School of Public Health


Data Analysis with Jeff Leek of Johns Hopkins Bloomberg School of Public Health

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