Don't start learning data science with neural networks - Your Data Teacher

I often meet students that start their journey towards data science with Keras, Tensorflow and, generally speaking, Deep Learning. They build tons of neural networks like crazy, but in the end they fail with their models because they don't know machine learning enough nor they are able to apply the necessary pre-processing techniques needed for making neural networks work. Here's why, if you start your career as a data scientist, you don't need to start with Deep Learning. Data Science is about data, not about models. So, focusing on Deep Learning is like focusing on the models and that is wrong.