This course offers students a practical introduction to the field of Data Science and common methods for quantitative and computational analytics, through which they can have an overview of key concepts, skills, and technologies used by data scientists. While the course covers several programming languages and tools, the focus is on solving problems. Students will be introduced to real-life problems that involve collecting and analyzing data.
Upon successful completion of this course, students will be able to:
- Apply programming languages and tools such as UNIX commands, MySQL, Python, and R to collect, clean, process, and analyze data.
- Exhibit familiarity with data science methods by learning and experiencing essential algorithms and approaches.
- Use statistical methods and visualization techniques to explore and analyze data, and visualize and present the results.
- Identify data-driven analytics problems and design solutions and applications to solve them.