Python 3: Web Scraping and Machine Learning

Description

During this hands-on course, participants will work with Python and several popular packages to create programs that acquire, consolidate, analyze and present large data sets. Whether originated from websites or internal databases, this course will demonstrate core techniques to efficiently manage and explore business data.

PLEASE NOTE that this session will be offered as a webinar and all course times are EST. This session will take place over two days Apr 14 from 8:30am – 12:30pm and Apr 15 from 8:30am – 12:30pm.

Registration

CFA Society Toronto is hosting this session and are therefore managing registrations. You do not need to be a member of the society to attend, however, non-members may need to pay a higher price. To register please click here. To visit CFA Toronto’s website, please click here.

If you have any difficulty registering, please contact:

Dawn Wong

416-366-5755

dawn.wong@cfatoronto.ca

Special Instructions

• A general understanding of programming principles and Python is recommended for this course.
• The course material will build on the content of “Python 1: Core Data Analysis” and “Python 2: Visualization and Analysis”.
• Participants should be familiar with Python packages and their installation.
• In advance of the course, Anaconda or an equivalent Python distribution should be downloaded and installed.