STAT575 COMPUTATIONAL TOOLS FOR DATA SCIENCE
| Course Code: |
2460575 |
| METU Credit (Theoretical-Laboratory hours/week): |
3(3-0) |
| ECTS Credit: |
8.0 |
| Department: |
Statistics |
| Language of Instruction: |
English |
| Level of Study: |
Graduate |
| Course Coordinator: |
Prof.Dr. ÖZLEM ÝLK |
| Offered Semester: |
Fall and Spring Semesters. |
Course Content
Programming with R and Python for statistics and data science computing. Computing using statistical software. Relational. distributed. parallel and object databases. Structured query language (SQL). Big data storage systems. Data warehouses. Online analytic processing (OLAP). Big data handling tools and techniques. Web data management. Cloud computing.
