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.

Missing prerequisites?

Learn more about VCC's academic upgrading or English as a Second Language (ESL) courses, or discover which university transfer options are right for you.

What you will learn

  • 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

How to register

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

Course schedules

Select your program to see the available course schedules.

Contact us

If you have any question, please email at advising@vcc.ca.

† 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, and we acknowledge our privilege to be here.