This course will familiarize students to the main processes in of data science, including data cleansing, exploration, visualization, and analysis. Students will gain practical experience in applying these methods to real-world business data. Through intensive practice, students will gain proficiency and confidence as R programmers. By learning about data types, programming structures, file I/O, and other features of R, they will gain skills that are applicable to other programming languages. This course will familiarize students to the main processes in of data science, including data cleansing, exploration, visualization, and analysis. Students will gain practical experience in applying these methods to real-world business data. Through intensive practice, students will gain proficiency and confidence as R programmers. By learning about data types, programming structures, file I/O, and other features of R, they will gain skills that are applicable to other programming languages.
The textbook choice will be announced at the beginning of class.
the textbook choice will be announced at ATT and beginning of class.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| Quizzes (4)Quizzes (4) quizzes (4) |
20 | |
| Final ExamFinal Exam final exam |
15 | |
| Midterm ExamMidterm Exam midterm exam |
15 | |
| Homework Uploads Homework Uploads homework uploads |
20 | |
| Group ProjectGroup Project group project |
30 |
