Design relational databases and create advanced queries with SQL Set up "Machine learning" models in production using Google Cloud Platform Create and develop fully connected neural networks to solve classification and regression problems Understanding mathematical concepts related to data science, such as statistics, probability and linear algebra. Conduct advanced analyses with Jupyter notebook, Pandas and Statsmodels Mastering the programming applied to data science in Python Manipulate neural networks for object detection and natural language processing Implement supervised and unsupervised models of "Machine learning" with scikit-learn Learn the best practices of "Machine learning" (pretreatment, training and testing, performance measures, etc.) Use best practices in daily work on a data science project in a technical team.