From perceptrons to backpropagation, systematically learn the core mathematical theories of neural networks and implement them directly in R. Build a solid foundation in deep learning—including activation functions, gradient descent, and multilayer neural networks—while developing the ability to solve classification problems using real-world datasets.

Learn the core functions of SPSS in a short period to pass the Social Survey Analyst Level 2 practical exam. Master SPSS know-how along with problem-solving techniques—ranging from data entry to descriptive statistics, cross-tabulation, t-tests, ANOVA, and correlation/regression analysis—to perfectly prepare for the practical exam.

We are rooting for your success in your exam preparation. The lecture is based on the content included in the PDF materials. PDF download link: https://www.inflearn.com/clip/1364/%EC%82%AC%ED%9A%8C%EC%A1%B0%EC%82%AC%EB%B6%84%EC%82%AC-2%EA%B8%89-%ED%95%84%EA%B8%B0