Unlock Your Data Science Career in Canada

Master the skills of Data Science and Machine Learning with our comprehensive course. Join the data revolution today!

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Course Overview

Python for Data Analysis

Master Python programming and essential libraries for data manipulation and analysis.

Statistical Foundations

Build a strong foundation in statistics and probability for data-driven decision making.

Machine Learning Algorithms

Learn and implement various machine learning algorithms for real-world problems.

Your Learning Path

1. Foundations

Build your base with Python, statistics, and data visualization.

2. Data Analysis

Learn advanced data manipulation and exploratory data analysis techniques.

3. Machine Learning

Master various ML algorithms and their practical applications.

4. Capstone Project

Apply your skills to a real-world project and build your portfolio.

Interactive Learning Tools

Jupyter Notebook

Jupyter Notebooks

Interactive coding environments for hands-on learning and experimentation.

Kaggle

Kaggle Competitions

Participate in real-world data science challenges and competitions.

Tableau

Tableau Workshops

Learn data visualization techniques using industry-standard tools.

GitHub

GitHub Integration

Collaborate on projects and build your coding portfolio.

Industry Partnerships

Microsoft
IBM
Google
Amazon

Our partnerships with leading tech companies ensure that our curriculum stays up-to-date with industry needs and provides students with valuable networking opportunities.

Career Support

Resume Building

Get expert guidance on crafting a standout data science resume.

Interview Prep

Practice with mock interviews and technical question workshops.

Job Placement

Access our network of hiring partners and job opportunities across Canada.

Student Projects Showcase

Predictive Maintenance Project

Predictive Maintenance for Manufacturing

A machine learning model to predict equipment failures and optimize maintenance schedules.

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Customer Segmentation Project

Customer Segmentation for E-commerce

Using clustering algorithms to identify customer segments and personalize marketing strategies.

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Natural Language Processing Project

Sentiment Analysis for Social Media

NLP model to analyze customer sentiment from social media posts for brand monitoring.

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Curriculum Highlights

Technical Skills

  • Advanced Python Programming
  • Data Manipulation with Pandas
  • Machine Learning with Scikit-learn
  • Deep Learning with TensorFlow
  • Big Data Processing with Spark

Soft Skills & Business Acumen

  • Data Storytelling and Visualization
  • Project Management for Data Science
  • Ethical AI and Data Privacy
  • Business Strategy and Analytics
  • Effective Communication for Data Scientists

Financing Options

Upfront Payment

Pay the full tuition at once and receive a 10% discount on the total course fee.

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Income Share Agreement

Pay nothing upfront and share a percentage of your income after landing a job.

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Monthly Installments

Spread the cost of tuition over 12 months with our interest-free payment plan.

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Frequently Asked Questions

  • While there are no strict prerequisites, a basic understanding of programming concepts and mathematics (algebra and statistics) is recommended. We offer preparatory materials for those who need to brush up on these skills.

  • The full-time program is 12 weeks long, with classes Monday through Friday. We also offer a part-time option that spans 24 weeks, with classes in the evenings and on weekends.

  • We provide comprehensive career support, including resume reviews, interview preparation, networking events with hiring partners, and access to our job board. Our career services team works with you until you secure a position in the field.

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