Extracting useful knowledge from data requires interdisciplinary skills in scientific computing methods and algorithms. The broader term that captures all the skills is called data science or data mining. Data-driven organizations leverage their data effectively and generate business insights that enable better decision-making and problem solving. In this course, we will present both the theoretical background and practical application of data science including programming, machine learning algorithms and data engineering. Students will gain hands-on experience on major data science techniques and tools and how they are applied to real-world data sets. Some basic knowledge of programming and statistics is expected. Python is the programming language that will be used in class.