2019 SpringCST 383 Section 02, 4 units
Introduction to Data Science
Days, times, and locations
- Tuesday, Thursday 2:00pm to 3:50pm
Joel and Dena Gambord Business and Information Technology Building - Room 118
Enrollment
- Open seats
- 0
- Total enrolled
- 38
- Maximum enrollment
- 38
How to register
To register, you need permission from the instructor.Learn more about permission codes.
Use this number to register for the course in OASIS:
23049
Instructor
In data science, data analysis and machine learning techniques are applied to visualize data, understand trends, and make predictions. In this course students will learn how to obtain data, preprocess it, apply machine learning methods, and visualize the results. A student who completes the course will have enough theoretical knowledge, and enough skill with modern statistical programming languages and their libraries,to define and perform complete data science projects.(Prereq: CST 238)
University requirements
This course does not fulfill any general university requirements.
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