Data Science - level I : Beginner
About the program
This course is the first in a series of three courses on the subject of data science. The course will introduce the participant to the concepts of data extraction, transformation and loading using the Python language and the Pandas module. The course will also explore concepts of storing data in relational databases (SQL), Consuming APIS, JSON and basic web scraping. Beyond ETL concepts, the course will also introduce the basics of data visualization and statistical concepts . The course will end with an introduction to simple linear regression and K-Means clustering.
It is strongly recommended that students have competed the course Python I prior to registering in this course.
This is a programming intensive course. Participants must be comfortable working with text files (opening, reading and writing text files using a programming language). Knowledge of conditionals, loops, functions, indexing, slicing, lists, dictionaries, tuples is essential.
Condition of admission
The admission conditions and the inscription procedures may differ from a CEGEP to another.
You should be ready to provide legal documents such as: a birth certificate, a proof of education (high school or cegep diploma, etc), some grade sheets, a comparative evaluation or a foreign degree, a resume, etc.
As for individuals born outside of Canada, you will have to provide a proof of citizenship or permanent residency.
To receive more details about the consulted program, please visit the website of the establishment offering the training, with the help of the information below.
John Abbott College (Continuing Education)
Course Attestation and Professional Development