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Data Science Project (390-0-20)

Instructors

Arvind Krishna

Meeting Info

Parkes Hall 212: Fri 3:00PM - 5:50PM

Overview of class

In this course, students will collaborate on real-world data science projects introduced by a real stakeholder. Using tools like Git and GitHub, they'll develop teamwork skills while gaining hands-on experience in time series prediction. Students will interact directly with stakeholders to share progress and receive feedback.

At the course's end, groups will present their projects and findings to the class and community partners, including a comparison with AutoML solution on Google Cloud Platform. Designed to prepare seniors for the workforce, the course provides practical skills and exposure to modern data science tools and collaborative environments.

Registration Requirements

STAT 301-3 or STAT 303-3 or consent of instructor

Learning Objectives

The outcome of this project should give you a data product to show off to potential employers or educational programs, a strong indicator of your expertise in the field of data science.

Students will develop proficiency in collaborative teamwork using version control systems like Git and GitHub

Students will be able to apply essential methods for exploratory data analysis and modern machine learning techniques for time series modeling

Students will be able to gain practical experience in utilizing Google Cloud Platform and its AutoML tool for data analysis and model building.

Students will demonstrate the ability to effectively document/present their analysis results in a clear and organized manner.

Teaching Method

The students will be formed as small teams. Each team is expected to meet with the instructor review progress and complete a Meeting Notes page at each class.

Evaluation Method

A student in this class will be evaluated based on the performance of each project team.

Class Materials (Required)

No required textbook.

Class Materials (Suggested)

In-class lecture notes will be provided

Enrollment Requirements

Enrollment Requirements: Prerequisites: STAT 301-3 or STAT 303-3
Add Consent: Department Consent Required