This course is offered online and it is recommended you complete a short self-assessment to ensure readiness before taking an online course.
Introduction to the field of Big Data, its concepts and technologies, as well as current programming environments such as R and Python. Students will explore the roles of a data scientist in terms of network architecture, data analytics and predictive analysis. Fundamental questions of data science and scenarios appropriate for each will be discussed. Differentiation among raw data, clean data, and tidy data; and tools to convert data to/from these formats will be covered. Effective management of large data in single and distributed computing environments, including managing data redundancy and failures, will be covered. Introduction to Data Mining and Machine Learning techniques: classification, correlation, cluster analysis, frequent patterns and data visualization will be introduced. Intended for students with previous programming experience.
- Lecture hours/semester: 48-54
- Lab hours/semester: 48-54
- Homework hours/semester: 96-108
Textbook: Zero Textbook Cost (ZTC) Course - View textbook and course related items in Bookstore
Instructor:
Mounjed Moussalem, moussalemm@smccd.edu
Section Information as of Sunday, September 1 2024 - 05:12:50 am
Course status: Closed - Last day to add the class has passed.
InstructorSection | Meeting Date | Meeting Time | Days | Building | Room | Section | Section Description |
---|---|---|---|---|---|---|---|
Instructor: Mounjed Moussalem | 08/14-12/16 | Online course | 0000 | OLH | Online | ||
Instructor: Mounjed Moussalem | 08/14-12/16 | Online course | 0000 | OLH | Online |
Critical Dates for this Course | Date |
---|---|
Last day to add class | August 27, 2024 |
Last day to drop with a refund | August 27, 2024 |
Last day to drop without a "W" | September 2, 2024 |
Last day to drop with a "W" | November 13, 2024 |
Last day to change to Pass/No Pass Grading Option | December 16, 2024 |