The amount of data, generated in the pursuit of scientific discovery, keeps rapidly increasing across all major scientific disciplines. How can we make sense of large, time-dependent, high-dimensional and multi-variate data? This lecture provides an introduction into scientific visualization. After a short introduction to scalar and vector calculus and a categorization of different data types, we dive deeper into specific techniques for scalar-, vector- and tensor-valued field data.