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Introduction to the data science life cycle (in Python)

Introduction to the data science life cycle (in Python) In-Person / Online

Overview: 

This workshop presents an overview of the data science life cycle using the programming language Python, and using the environment Jupyter Notebooks. Using a simple data set, the instructor will walk participants through the different steps of the data science life cycle (e.g., manipulation, plotting, communication, code version control), presenting relevant python packages and representative commands for each step.

This tutorial is designed to help the learner prepare for the larger set of CDSI training offerings on the various specific stages of the data science life cycle.

Prerequisites: 
· Knowledge of file systems and Jupyter Notebooks would be helpful (e.g. from Understanding file systems and Introduction to Python workshops).
· You need to bring your own laptop for this workshop. Install Anaconda on your computer. You can find installation instructions here. Please contact us (cdsi.science@mcgill.ca) if you are having trouble with installation.

Instructor: Kiwon Lee, Faculty Lecturer, Department of Mathematics & Statistics

Date:
Wednesday, October 23, 2024
Time:
10:00am - 12:00pm
Location:
Burnside 1104 (11th floor) (Map )
Categories:
  Data Science Python     Python  
Registration has closed.

Event Organizer

Nadime Rahimian

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