Introduction to Data Science

Course code MATH 2705

Credit 3.0

Length 60.0 hours

Course outline View

This course serves as an introduction to developing key data science skills. By the end of the course, students will be able to implement a complete data science workflow using the R programming language. This includes downloading data from the internet (scraping), managing it effectively (wrangling), and creating tables and figures that tell a meaningful and justifiable story based on the data. Students will also gain proficiency in tools for identifying patterns in data and making predictions about future trends.

Prerequisites

MATH 2700 with a minimum 'C+' grade or equivalent, and CMPT 1010 with a minimum 'C-' or equivalent.

Course type

This course is offered as part of a VCC program and cannot be taken individually.
International students: Eligibility is determined at the program level. Visit the program page for international student requirements and application information.

  • Introduction to Data Science Introduction to R Programming Language Introduction to SQL and Relational Databases Introduction to Web and Data Technologies Reading in Data Locally and from the Web Cleaning and Wrangling Data Data Visualization

Course schedules

Select your program to see the available course schedules.

How to take this course

This course is offered as part of a VCC program only.

Contact us

If you have any questions, please email at [email protected].

† This information is intended as a guideline only. Program and course details are subject to change with the approval of VCC's Board of Governors.

Indigenous Territory Acknowledgment

VCC is located on the traditional territories of the xʷməθkʷəy̓əm (Musqueam), Sḵwx̱wú7mesh (Squamish), and səlilwətaɬ (Tsleil-Waututh) peoples who have been stewards of these lands since time immemorial.