WHAT DO DATA SCIENTISTS DO?
The world of data science includes a whole range of specializations. Here are a few of them.
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 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
Whether you take the 12-Week Data Science Bootcamp or 30-Week Data Science Flex Program, you’ll graduate with a diploma and get the fundamental knowledge, real-world experience, and critical soft skills you need to launch a rewarding career in data science. You’ll dive into modules on data visualization, machine learning, statistical modelling, data engineering, and much more. Throughout your studies, you’ll also have access to on-demand mentorship from industry experts in addition to the full-support of our Student Success Coordinators and Career Services team.
DATA SCIENCE PILLARS
Programming for Data Science
Frameworks and Libraries
Git, Command Line, APIs, and Virtual Environments
Data Engineering and DevOps
*Optional Self-Study Module
Data Soft Skills
Communication and Presentation for Technical and Non-Technical Audiences
The Scientific Method
Probability and Statistics
Data Ethics and Access
Data Types and Datasets
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.
IN CASE IT WASN'T CLEAR:
No previous coding education or experience is required to attend Lighthouse Labs.
What you will learn
Data Science Environment
Set up a data science environment on your own device using Anaconda, VSCode, Git, and Virtual Environments.
Dive into the basics of probability theory, statistics, and linear algebra using NumPy and Statsmodels
Discover relational and non-relational databases with a focus on PostgreSQL and SQLite.
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.
Learn programming basics, including Python, PostgreSQL, Git, and Jupyter Notebook.
Master the art of data acquisition, manipulation and preparation using Pandas, APIs, and the ETL process.
Learn the principles of graphical integrity and the guidelines for visualization context and guidelines with tools like Tableau, Matplotlib, Seaborn, Plotly, and Geopandas.
Move through design, experimentation (prototyping), production code, and deployment, mastering the development process while using tools like Pickle, Joblib, and Flask.
Your education with Soldiers In Tech is 100% covered by Roland Gossage Foundation. Let us help you get into a new career and future.
We believe that the best developers are passionate, lifelong learners. As for you: you see bootcamp as more than just the means to an end, and it shows in your ever-growing list of side projects.
Some brains are just wired for coding, no matter their previous exposure or education. Veterans are often required to think in a logical, structured way that lends itself beautifully to a career as a developer.
Becoming a developer is far from easy. This bootcamp program requires motivation, determination, hard work, and resilience. Veterans are often goal-oriented and have a solid idea of what they want to accomplish and then work hard to get it done.
Post-service Canadian military veterans
Spouses of veterans, reservists & active duty
No previous coding education or experience is required to attend Soldiers In Tech
Our students put their trust in us, so we hold ourselves to the highest standards to ensure that everyone coming into our program is set up for success..
A short 5-10 minute application for you to introduce yourself, including your education, previous experience, and your superpower. You know, the important details that help us get to know you. New cohorts fill up on a rolling basis, so make sure to submit your application as soon as possible!
Our admissions team will get in touch (quickly!) after reviewing your application and invite you for an interview. During the interview, we'll discuss your background and post-bootcamp goals so we can get to know you better. This is also your opportunity to ask any questions you might have. The interview is a chance for both of us to assess if this program is a fit for you.
The first step to becoming a Data Scientist is laying good foundations with our Prep Modules. This free, self-paced online course will introduce you to the technologies and tools you’ll use throughout bootcamp, including Git, Github, Python and math concepts. You’re required to complete the Prep Modules before your first day of bootcamp.