Introduction to Data Science (MATH 2705)
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.
Course code: MATH 2705
Credits: 3.0
Tuition: $0
Length: 60.0 hours
Course outline:
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https://www.vcc.ca/vccphp/courseoutline?subject=MATH&number=2705
Prerequisites
MATH 2700 with a minimum 'C+' grade or equivalent, and CMPT 1010 with a minimum 'C-' or equivalent.
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Additional 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
This course is offered as part of a VCC program only.
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* The amount shown is the approximate cost of tuition (for courses with tuition) or fees (for courses that do not have tuition).
Tuition and Fees are approximate and subject to change. Students are required to pay any applicable fee increases. Fees listed are for domestic students. For international programs, visit VCC International.
† 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.