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Dear colleagues, I am happy to announce *two week-long neuroscience data analysis courses* at the Radboud University in Netherlands in August 2018: One about time-frequency/synchronization/statistics, and one about linear algebra and source-separation. Below are the direct links to the course pages with application information. You can also find more information, including syllabi, on mikexcohen.com (scroll down to "In-vivo teaching"). *Please pass these links around to your colleagues/students who might be interested in one or both of these courses!* Analyzing neural time series data <http://www.ru.nl/radboudsummerschool/courses/2018/analyzing-neural-time-series-data/> (6-10 August). Fourier transform, convolution, time-frequency analysis, synchronization, nonparametric statistics, simulating time series data. Linear algebra for neuroscientists <http://www.ru.nl/radboudsummerschool/courses/2018/linear-algebra-neuroscientists> (13-17 August). Matrix algebra, least-squares model fitting, eigendecomposition, multivariate source separation, state-space analyses, simulating multicomponent and multichannal time series data. Please note that applications, if approved, are selected on a first-come-first-serve basis, and that the number of participants for each course is limited. If you have questions about the courses, please feel free to contact me. Mike -- Mike X Cohen, PhD New online courses: mikexcohen.com