This course provides opportunities for students to apply programming skills and software tools for solving data analytics and artificial intelligence (AI) problems. Students will be given a series of discovery laboratory exercises and problem-solving exercises. Each exercise is accompanied by a short briefing lecture. A discovery laboratory exercise allows students to get familiar with the basics and the syntax of a particular tool, plug-in, or library. A problem-solving exercise asks students to apply single or multiple tools/plug-ins/libraries to solve some real-world problems. Students will be learning skills for data management and preprocessing, quantitative analysis, data mining, modeling and training, and data visualization. Some min-projects will be given to students as capstone assessments so that they will be approaching problems with skills they learned and practices in the course.