英文課程概要
English Course Description |
Data Science is interdisciplinary study of extraction of knowledge from data.
Being a data scientist requires integrated skills, including statistics, computer science and domain expertise.
This course will extends the course of Introduction to Data Science.
Students will learn concepts, techniques and tools they need to deal with data analysis with R or Pythpn.
The focus in the treatment of these topics will be on breadth, rather than depth, and emphasis will be on integration and synthesis of concepts and their applications to solving problems.
The course is suitable for upper-level undergraduate or graduate students in economics and related fields of management college. Students are expected to have basic knowledge of data science, R or Python. The course consists of lectures, individual assignments and a team project. At the end of the course, students should be able to
(1) Use R or Python to carry out statistical analysis. (2) Machine Learning (3) Deep Learning (4) Text Mining (5)Social Network (6) Geography Graphs (7)Analyze an interesting problem using existing methods and real world dataset.
The course is suitable for upper-level undergraduate or graduate students in economics and related fields of management college. Students are expected to have basic knowledge of data science, R or Python. The course consists of lectures, individual assignments and a team project. At the end of the course, students should be able to
(1) Use R or Python to carry out statistical analysis.
(2) Text Mining
(3)Social Network
(4) Geography Graphs
(5)Analyze an interesting problem using existing methods and real world dataset.
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