
WHAT DO DATA ANALYSTS DO?
The world of data analysts includes a whole range of specializations. Here are a few of them.
DATA
ANALYST
Data Analysts work with technical resources to identify a stakeholder’s best approach using the right databases and tools. Working to make sense of large, unsorted amounts of data, analysts establish a workflow while working with the client to automate their processes.
BUSINESS ANALYST
Business Analysts apply their knowledge of designing, developing, and testing software to evaluate an organization’s business and IT systems. They make recommendations to reduce inefficiencies and costs, and identify ways to streamline the business’ structure.
MARKETING ANALYST
Marketing Analysts gather, clean, and sort data to provide marketing insights to a company. They review marketing campaign results, use tools to understand current consumer trends, and research competitors to help the company improve their marketing efforts.
CHOOSE YOUR PATH TO A NEW CAREER FULL OF OPPORTUNITIES
âš¡ 8-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 2 months with a diploma, hands-on skills, and full career support.
🕒 18-Week Flex Program
Designed for those balancing work, family, or other commitments, our 18-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 22 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 focused 8-week Data Analytics Bootcamp or the extended 18-week Flex Program, you'll graduate with a diploma and the in-demand skills needed to launch a meaningful career in data analytics. Designed to suit your schedule and learning pace, both options offer a blend of hands-on experience, practical training, and personalized support — ideal for veterans transitioning into the tech sector.
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Throughout the program, you’ll benefit from on-demand mentorship by industry professionals, as well as ongoing support from our Student Success Coordinators and Career Services team — all committed to helping you transition confidently into your next career.
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
DATA ANALYTICS PILLARS

Data Visualization & Dashboards
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Tableau
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Data Connectivity
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Data Preparation
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Storytelling with Data Design Principles

Code Fundamentals
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Clean code that works
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Python & Statistical Modelling
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Industry-standard Frameworks and Libraries
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Git, command line, and APIs

Data
Soft Skills
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Communication and Presentation Skills for Technical and Non-Technical Audiences
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Teamwork
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Interview Skills

Data
Analysis
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Extract-Transform-Load Process
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SQL (PostgreSQL)
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Data Manipulation
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QA Processes
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Data Ethics and Access
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Pandas
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NumPy
What you will learn
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Data Analytics Environment
Learn to set up a data analytics environment on your own computer using Anaconda, VSCode, Virtual Environments, and Tableau.

Data Wrangling
Master the art of data manipulation and preparation for data analytics using Pandas, APIs, and ETL.
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Coding
Learn the basics of programming, including Python, PostgreSQL, Git, and Jupyter Notebook.

Databases
Discover relational and non-relational databases with a focus on PostgreSQL and SQLite.

Statistical Modelling
Use Python to apply relevant statistical models to data to make recommendations and support business decisions.
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Data Visualization
Learn the principles of graphical integrity and the guidelines for visualization context with tools like Tableau, Matplotlib, Seaborn, Plotly, and Geopandas.