Cmsc320 Fall 2025. Cpcc Calendar Fall 2025 Inge Regine An introduction to the data science pipeline, i.e., the end-to-end process of going from unstructured, messy data to knowledge and actionable insights. Instructors: Elias Jonatan Gonzalez and José Manuel Calderón Trilla Lectures: MW 3:30-4:45 & 5:00-6:15, in Iribe Website: https://cmsc320.github.io/ This is a public repository containing the four projects (plus an initial tutorial on using git, Jupyter, Docker, and so on) given to students during the Spring 2022 session of the University of Maryland introductory data science course.
Streaming March 2025 Nelli Libbie from herthabgilligan.pages.dev
Restriction: Permission of CMNS-Computer Science department.Credit only granted for: STAT426 or CMSC320.An introduction to the data science pipeline, i.e., the end-to-end process of going from unstructured, messy data to knowledge and actionable insights. This course focuses on (i) data management systems, (ii) exploratory and statistical data analysis, (iii) data and information visualization, and (iv) the presentation and communication of analysis results.
Streaming March 2025 Nelli Libbie
There will be a 15% penalty for late submissions of homework and a 20% penalty for late submissions of project/tutorial checkpoints 1 and 2 within 24 hours after the deadline. Instructor: Maxsym Morawski Lectures: Section 0101: MW 3:30-4:45 in Iribe 0324; Section 0201: MWF 11:00-11:50 in CSI 1115 Website: https://cmsc320.github.io/ This is a public repository containing the four projects (plus an initial tutorial on using git, Jupyter, Docker, and so on) given to students during the Fall 2022 session of the University of Maryland introductory data science course. Prerequisite: Minimum grade of C- in CMSC216 and CMSC250
Ccc Academic Calendar 20252025 Sile Yvonne. Instructor: Maxsym Morawski Lectures: Section 0101: MW 3:30-4:45 in Iribe 0324; Section 0201: MWF 11:00-11:50 in CSI 1115 Website: https://cmsc320.github.io/ This is a public repository containing the four projects (plus an initial tutorial on using git, Jupyter, Docker, and so on) given to students during the Fall 2022 session of the University of Maryland introductory data science course. Restriction: Permission of CMNS-Computer Science department.Credit only granted for: STAT426 or CMSC320.An introduction to the data science pipeline, i.e., the end-to-end process of going from unstructured, messy data to knowledge and actionable insights.
Phca Annual Conference 2025 Diane Watson. Instructors: Elias Jonatan Gonzalez and José Manuel Calderón Trilla Lectures: MW 3:30-4:45 & 5:00-6:15, in Iribe Website: https://cmsc320.github.io/ This is a public repository containing the four projects (plus an initial tutorial on using git, Jupyter, Docker, and so on) given to students during the Spring 2022 session of the University of Maryland introductory data science course. This is a public repository containing the four projects (plus an initial tutorial on using git, jupyter, docker, and so on) given to students during the fall 2020 session of the university of