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Data Science Bootcamp - Toronto

This bootcamp is an intensive 4-day program designed to build a strong foundation for using data science with Python through expert instruction. You will walk away with the tools necessary to create a comprehensive data analysis from nearly any dataset.


When: August 26–29, 10 AM - 4 PM

Where: Ryerson University, 350 Victoria St, Toronto, ON M5B 2K3

Early Bird Special: $399 (through July 31)

General Admission: $699


PROGRAM COMPONENTS

1. Pre-course Assignment

In order to be prepared for more advanced (and interesting) topics during the live in-person classes, students are expected to complete the following assignments before the course:

  • Exercise Python
  • Intro to Pandas
  • Essential Pandas Commands

Immediately upon registration, students will be granted access to all of the pre-course material and a private Slack channel to communicate with Ted.

2. Live In-Person Bootcamp Course

During class, attention shifts from short lectures from Ted to student exercises and projects. Ted is an extremely dedicated and energetic instructor and is constantly providing individual help during student exercises.

Bootcamp Syllabus:
Day 1: Grouping Data
Day 2: Tidy Data
Day 3: Time Series
Day 4: Visualization

3. Capstone Project

Starting on the final day of the bootcamp, students will embark on a capstone project intended to show real-life application of the concepts learned during the week.

WHY SHOULD I ATTEND?

  • I want to write effective and idiomatic code - This course provides precise, modern, and efficient techniques to analyze data. It is easy to write ineffective code (especially with the pandas library) and it is common to find popular tutorials with misleading information. The tools and concepts in this class have been endlessly modified and adapted so that you receive the very best possible explanations and very best idioms on how to how to write effective data analysis code.
  • I want to learn from an expert - Ted has answered hundreds of Python data science questions online and is known for developing best practices on how to use the data analysis libraries.
  • I want time to practice - The vast majority of the time during the live classes is spent completing the 300+ exercises and projects available. Ted limits his lectures to the most critical pieces of information. The focus of the class is on the student and not the instructor.

WHO SHOULD ATTEND?

  • Individuals or small groups with a desire to become experts at using Python to do data science.
  • Professionals who work with data on a regular basis and would like to add a new powerful skillset to analyze data programatically.

ABOUT THE INSTRUCTOR

This course is taught by Ted Petrou, an expert at data exploration and machine learning using Python. Ted has taught hundreds of students both fundamental and advanced data science skills. He holds a master's degree in statistics from Rice University and is the author of multiple popular data science publications, including Master Data Analysis with Python and Pandas Cookbook.

THINGS TO KNOW

Pre-Course Assignment - The pre-course assignment is mandatory and takes around 15-30 hours to complete. Students must finish it in order to be prepared for the first day of the bootcamp.

Certificate of Completion - Students who complete all components of the course will receive a certificate of completion. 

Get $100 Off - If you have already purchased Master Data Analysis with Python or the All Access Pass use code MDAP100 to get $100 off.

Refunds are available up to 30 days prior to the start of the event

Hear from Former Students:

“Once I took the boot camp, my thinking as a data scientist really developed because Ted really focuses on becoming independent - to think like a data scientist, to ask the main question that guides the entire project.”

Sayantan Mitra