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DS 101

DS 101 Introduction to Data Science

Instructor

Ms. Garcia

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Instructor

Dr. Garcia

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Course Overview

What You'll Learn?

  • Student Outcomes:
  • To achieve the educational objectives of the program, graduates of the BS in Data Science program will have an ability to:
  • - Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
  • - Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
  • - Communicate effectively in a variety of professional contexts.
  • - Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
  • - Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
  • - Apply theory, techniques, and tools throughout the data analysis lifecycle and employ the resulting knowledge to satisfy stakeholders' needs.
  • Learning Goals
  • - Students will be able to manage large-scale, complex data.
  • - Students will be able to recognize and evaluate the opportunities, needs, and limitations of data.
  • - Students will be able to formulate and design data analytic solutions.
  • - Students will be able to interpret data analytics and communicate the implications to stakeholders.
  • Program Educational Objectives:
  • - Our graduates will be successfully employed in Data Science related fields or other career paths, including industrial, academic, governmental, and non-governmental organizations, or will be successful graduate students in a program preparing them for such employment.
  • - Our graduates will lead and participate in culturally diverse and inclusive teams, becoming global and ethical collaborators.
  • - Our graduates will continue their professional development through, for example, obtaining continuing education credits, professional registration or certifications, or post-graduate study credits or degrees.
  • This program requires various technical courses and is highly multidisciplinary. Taking a multidisciplinary approach, the curriculum is designed to leverage existing courses on a self-paced approach, pre-recorded instructor-led lectures. Combining these with foundational courses in data science, will give you the ability to grow your skills quickly. It also creates synergy among academic technical courses, provides flexibility in scheduling, and allows for timely completion of the program. Students with varied backgrounds can take different courses to suit their needs, based on interest and guided by faculty advisors.
Free
  • Skill Beginner
  • Available Seats 20
  • Last Update May 11, 2024