Data Science Course

Part-Time
Intermediate

Enroll For Fall 2017 →
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Optional

Flexible Learning Options

Weeknights

10 Weeks

Weekends

5 Weeks

Weekdays

1 Week

  • Trusted & Proven

    We've trained individuals from the world's industry-leading companies, including Uber, Telus, Google, Estee Lauder and American Express.

  • Taught by Industry Leaders

    Learn from experts who bring their real-world experience to every class.

  • Low Student-to-Teacher Ratio

    Smaller class sizes make for a more interactive, collaborative learning experience.

  • Hands-on Projects

    Don't just sit in front of a lecturer; hands-on learning allows you to work on real projects that matter to you.

What You'll Learn

Students will begin the course with a review of programming fundamentals in Python and move on to creating simple programs for basic statistical methods. Once students have a competent grasp of programming, they will move onto more advanced data structures and algorithms such as decision trees and clustering. By the end of the course, students will have the knowledge, tools and resources needed to collect, analyze and communicate data effectively. Students are recommended to have a working knowledge of at least high school level statistics and an understanding of programming fundamentals is encouraged.

  • Programming Learn basic programming concepts using Python.
  • Data Management Import, sanitize, and process large datasets.
  • Analysis Collect, process, and extract information from data.
  • Modeling Write programs to find patterns in data.
  • Classification Sort and group data by common features.
  • Resources Learn where to find data sets and resources for study.
  • Programming Learn basic programming concepts using Python.
  • Data Management Import, sanitize, and process large datasets.

Is This Course For Me?

BrainStation’s Data Science course teaches you the fundamental skills to collect, organize, and understand large volumes of data. The course is also great for those who want to start to learn how to program or use programming to solve problems. By abstracting away design elements that are typically seen in Web or iOS Development, students can focus on just the fundamentals of programming using familiar statistical concepts. The latter part of the course then starts to investigate models and algorithms using code and larger data sets.

By the end of this course students will have an understanding of how to import CSV’s of data into a Python environment and perform analysis. Additionally, students will learn more about the online Data Science communities and how people share and study data collaboratively.

Prerequisites

We recommend students have the following knowledge going into the course:

  • Introductory programming experience, Python preferred
  • Introductory Statistics
  • Completion of BrainStation’s Data Analytics course is highly recommended
Data Analytics

Data Analytics

BrainStation’s Data Analytics course is tailored to beginners who want to learn how to utilize data more effectively. The part­-time course breaks down data analytics into 4 components: Understanding Data, Analyzing Data, Databases, and Communicating Data.

Go To Course

The Campus

The Classroom

Enjoy learning in a state-of-the-art classroom with beautiful brick and beam interiors, a fully stocked kitchen, and student lounge.

The Neighbourhood

Our campus is located at King & Spadina, steps away from some of the world's most influential technology companies, including Shopify and Google.

Events, Socials & Workshops

Join us for a Fireside Chat or Panel Discussion with thought-leaders coming from some of the world’s most influential companies.

Quantum Coffee

Grab a beverage at Quantum Coffee, our on-campus state-of-the-art café.

Learning Portal

Goal Setting

Students begin the Data Science course by outlining their course objectives and what they hope to achieve throughout their time learning at BrainStation. This is valuable information for our Educators, who use this data to support students in achieving their goals.

Access to Learning Content

All students enrolled in Data Science will have access to the lecture slides and additional readings outside of the classroom. This allows students to reference their new learnings when working on their final projects, and review Data Science topics and tools to continue applying their newfound skills after graduating.

Feedback

Data Science students are given the opportunity to provide comprehension responses based on how they are digesting the course material. This is useful information for our Educators, who can provide additional resources and support where students need it to ensure they complete the course with a solid understanding of Data Science concepts.

“In the real world, innovation is outpacing education and that's something we’ve recognized at BrainStation. We’re challenging how education is delivered, curated, and published. Our students and Educators benefit from the collaborative tools we’ve developed to help us get content researched, written, and peer reviewed faster than a traditional publishing cycle. We're digital-first in every facet of the phrase and that is something we’re going to continue pushing forward to guarantee our students receive the best education available.”

Rares, BrainStation Product Architect

Our Ecosystem Partners

BrainStation's Educators come from world class digital companies like:

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Student Payment Plans

We work with our students to make our programs accessible and affordable.

We understand that every student's financial situation is unique, and we work closely with you to build a customized Student Payment Plan. Speak with a Learning Advisor today to learn about financing options and explore our range of scholarship opportunities.

Upcoming Semesters

Weeknights

6:30PM - 9:30PM
10 Weeks

Fall - 2017

Mondays: Sep 18 - Nov 27

Winter - 2018

Mondays: Jan 8 - Mar 19