WHAT DO DATA SCIENTISTS DO?
The world of data science includes a whole range of specializations. Here are a few of them.
DATA
SCIENTIST
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Data scientists combine computer science, mathematics, statistics, modelling and a solid understanding of their industry to discover new strategies. They clean and sort data and create algorithms that analyze trends. They then present their findings to companies to help them improve their practices and systems.
DATA
ENGINEER
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Data engineers work in a variety of fields to build systems that collect, manage, and convert unsorted data into usable information for data scientists and analysts to interpret. Their end goal is to make data accessible so that organizations can use it to evaluate and optimize their performance.
MACHINE LEARNING ENGINEER
Machine learning engineers research, build, and design artificial intelligence (AI) responsible for machine learning along with maintaining and improving existing artificial intelligence systems. They also act as the go-between for data scientists who develop AI construction models and those who build and run them.
CHOOSE YOUR PATH TO A NEW CAREER FULL OF OPPORTUNITIES
âš¡ 12-Week Bootcamp Program
Designed for those ready to fully commit, our 12-Week Bootcamp delivers an immersive, accelerated path into tech.
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5 live lectures per week
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Approximately 50 hours of study time weekly
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Fast-paced, structured learning with expert-led instruction
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Ideal for veterans, reservists, and spouses ready to launch a new career quickly
Graduate in just 3 months with a diploma, hands-on skills, and full career support.
🕒 30-Week Flex Program
Designed for those balancing work, family, or other commitments, our 30-Week Flex Program offers the same comprehensive curriculum as our full-time courses—on a schedule that fits your life.
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2 live lectures per week
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Approximately 25 hours of study time weekly
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Flexible, self-paced learning with structured support
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Ideal for veterans, reservists, and spouses needing adaptable training options
Train for a career in tech—without putting your life on hold.
Whether you choose the intensive 12-week Data Science Bootcamp or the flexible 30-week Data Science Flex Program, you’ll graduate with a diploma and a strong foundation of technical knowledge, hands-on experience, and essential soft skills to confidently launch your career in Data Science.
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You’ll explore key topics such as Python programming, data wrangling, statistics, machine learning, data visualization, databases, and predictive modelling. Throughout your learning journey, you’ll benefit from on-demand mentorship from experienced data professionals, as well as comprehensive support from our Student Success Coordinators and Career Services team—ensuring you're prepared to thrive in one of today’s most data-driven industries.
Fully Funded Programs
YOUR EDUCATION WITH SOLDIERS IN TECH IS 100% COVERED BY THE ROLAND GOSSAGE FOUNDATION.
LET US HELP YOU GET INTO A NEW CAREER AND FUTURE.
RE-Skilling Bootcamps have a value of $14,000 CAN
UPCOMING COURSE DATES
07
July 7, 2025 - Feb 13, 2026
Part-time, Flexible (2 days a week) for 30 weeks
15
Sept 15 - Dec 5, 2025
Full-time, Immersive (7 days a week) for 12 weeks
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* The start dates listed above that represent the first day of classes do not include the time needed to complete Prep Module.
DATA SCIENCE PILLARS
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Programming for Data Science
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Python
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Clean Code
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Statistical Modelling
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Frameworks and Libraries
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Git, Command Line, APIs, and Virtual Environments
Data Tools
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SQL
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Jupyter Notebook
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Data Wrangling
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Data Visualization
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Machine Learning
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Data Engineering and DevOps
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Deep Learning*
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Tableau Excel
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*Optional Self-Study Module
Data Soft Skills
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Communication and Presentation for Technical and Non-Technical Audiences
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Teamwork
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The Scientific Method
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Experimental Design
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Interview Skills
Data Analysis
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Probability and Statistics
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Data Ethics and Access
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Extract-Transform-Load Process
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SQL (PostgreSQL)
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Data Types and Datasets
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Data Manipulation
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QA Processes
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Pandas
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NumPy
The Data Science Bootcamp and Data Science Flex Program are approved by the Canadian Private Training Institutions Branch of the Ministry of Advanced Education and Skills Training.
What you will learn
LLMs for NLP
Develop prompts and queries that leverage Large Language Models (LLMs) to perform targeted Natural Language Processing (NLP) tasks and fine-tune pre-trained LLMs to drive practical solutions to business challenges.
Apply ethical practices to ensure responsible and fair use of language models.
Math Foundations
Dive into the basics of probability theory, statistics, and linear algebra using NumPy and Statsmodels
Data Visualization
Learn the principles of graphical integrity and the guidelines for visualization context and guidelines with tools like Tableau, Matplotlib, Seaborn, Plotly, and Geopandas.
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Data Science Environment
Set up a data science environment on your own device using Anaconda, VSCode, Git, and Virtual Environments.
Data Wrangling
Master the art of data acquisition, manipulation and preparation using Pandas, APIs, and the ETL process.
Machine Learning
Using sci-kit learn, Tensorflow and Keras, you’ll explore elements of machine learning like supervised learning, unsupervised learning, deep learning (stretch content), NLP (Natural Language Processing), time series, and recommender systems.
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Coding
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Learn programming basics, including Python, PostgreSQL, Git, and Jupyter Notebook.
Databases
Discover relational and non-relational databases with a focus on PostgreSQL and SQLite.
Development Process
Move through design, experimentation (prototyping), production code, and deployment, mastering the development process while using tools like Pickle, Joblib, and Flask.