Lighthouse Labs has been acquired by Uvaro! Learn more about our plans for workforce development in Canada.
Stop waiting—dive into data analytics by enrolling in our Data Analytics Bootcamp.
Master tomorrow's data analytics skills today in our industry-proven bootcamp.
Beyond a strong passion for teaching, Brian brings over 15 years of post-secondary education and applied research experience. Apart from his education in aerospace engineering, he's also studied smart systems and robotics for autonomous planetary exploration. While his subject matter expertise lies in robotics, Brian is also adept at computer vision, data science, and machine learning. In addition to his work at Lighthouse Labs, he's currently a senior research scientist at Vineland Research and Innovation Centre.
With a background in engineering and years of experience working across diverse industries, a love for statistics and programming finally brought Eithar to the field of data science. After completing an intensive 10-month Master of Data Science at the University of British Columbia (UBC), she's been enjoying supporting students at Lighthouse Labs in understanding the background and applications data science tools.
Ali is an experienced data scientist, specializing in geospatial analysis and NLP, and mentor with a passion for teaching and sharing knowledge. Along with his industry experience, Ali has also conducted research in the field of deep learning and human-computer interaction (HCI), with a focus on model interpretability. He believes in the power of data science to drive positive change and is dedicated to sharing his expertise to inspire the next generation of data scientists.
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 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 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.
If you want to launch your new career as a data analyst as quickly as possible — opt for the Data Analytics Bootcamp. If you’re looking to balance your studies along with work, health and wellness, or caregiver duties — then Data Analytics Flex is the program for you.
But remember: the curriculum, the job outcomes, the objectives are all the same no matter which option you choose.
Every week, Data Analytics Bootcamp students attend five weekday lectures while dedicating an extra 50 hours to work on projects, assignments and course collaborations.
In contrast, those enrolled in the Data Analytics Flex Program are only required to attend two lectures a week. Students are also recommended to set aside an additional 22 hours every week to work on projects, assignments and course collaborations.
No previous coding education or experience is required to attend Lighthouse Labs.
Learn to set up a data analytics environment on your own computer using Anaconda, VSCode, Virtual Environments, and Tableau.
Learn the basics of programming, including Python, PostgreSQL, Git, and Jupyter Notebook.
Use Python to apply relevant statistical models to data to make recommendations and support business decisions.
Master the art of data manipulation and preparation for data analytics using Pandas, APIs, and ETL.
Discover relational and non-relational databases with a focus on PostgreSQL and SQLite.
Learn the principles of graphical integrity and the guidelines for visualization context with tools like Tableau, Matplotlib, Seaborn, Plotly, and Geopandas.
Download our curriculum package for a more detailed look into our Data Analytics Program, educational philosophy, and how we support you throughout your learning journey and beyond.
Download Curriculum PackageMore than just lectures. When you attend one of our Bootcamps, you get the full support of expert instructors, industry mentors, Student Success Coordinators, and Career Advisors.
Mentorship is the backbone of our Bootcamps. If you’re stuck on a tricky assignment, you can count on our outstanding mentors to be there for you at the click of a button. As working industry professionals, our mentors are also key in building industry connections to support your future career success.
Support from the day you apply to the day you graduate. We pride ourselves on our hands-on, proactive education approach. So, you can expect daily and weekly check-ins from Student Success Coordinators to track your progress and support your student experience.
From 1:1 and group coaching to personalized job recommendations, sharpening your interview skills, tuning up your LinkedIn and resume, and having access to live, online classes and workshops, our expert team is here to support you in your job search. You also gain access to our network of over 4,000 hiring partners and more!
We’re committed to building a diverse and inclusive learning community. If you need help and support as a student, we’re here for you. Accessibility is not one-size-fits-all, so neither is your accommodation plan. We work with each student to develop personalized plans that support their individual needs.
Visit our Student Accessibility Services to learn more.
With an active network of Lighthouse Labs graduates, there’s endless opportunities to learn, connect, and grow. As an alum, you remain an active part of our community. We regularly host Demo Days, guest speakers, and exclusive alumni events. On our Alumni Discord channel, you can keep in touch with your peers, organize educational and social events, and hear about recurring alum events.
To ensure your success in an ever-changing landscape, our Bootamp sets you up with the tools you need to be a lifelong effective, adaptive, and curious learner throughout your career. That’s why you also get lifelong access to our cutting-edge learning platform and curriculum that stays on-top of the latest developments in tech.
At Lighthouse Labs we are looking for a rare breed: someone who is seeking an opportunity for extraordinary growth, is ready to thrive in an intense learning environment, and LOVES data.
Above all we admire:
We believe that the best developers are passionate, lifelong learners. As for you: you see the program 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 data, no matter their previous exposure or education. You think in a logical, structured way that lends itself beautifully to a career as an analyst
Becoming a data analyst is far from easy. Our program requires motivation, determination, hard work, and resilience. You're goal-oriented and have a solid idea of what you want to accomplish. You get it done.
We're an array of personalities from every imaginable background, and the result is amazing. If you are kind, quick, and a little quirky, we will be fast friends.
4.45 (93 reviews)
Let the data (heh) speak for itself: access key insights about our bootcamp graduates. Learn about our industry-leading graduate employment rate, starting salaries, and more, throughout a year of economic strain and downturn.
Bilan de réussite des étudiant(e)s
Les étudiants nous font confiance, c'est pourquoi nous nous appliquons aux normes les plus élevées pour garantir que tous ceux qui entrent dans notre programme soient prêts à réussir. Voici notre processus d'admission en quatre étapes:
1. Demande d'admission en ligne
2. Test de logique
3. Entrevue
4. Modules de préparation
1. Voici votre opportunité de vous présenter ! Parlez-nous de votre expérience professionnelle, de votre formation, de vos intérêts, de vos motivations et de vos objectifs. Cela ne prend que 5 à 10 minutes pour remplir une demande et il n’y a aucun frais à appliquer ! (PS. Plus vous postulez tôt, mieux c'est. Visez au moins 6 semaines avant la date de début souhaitée, cela vous donnera plus de temps pour terminer les modules de préparation.)
3. Nous voulons vous rencontrer! C'est aussi l'occasion pour vous d'en apprendre davantage sur le programme et de nous poser toutes vos questions. Nous voulons simplement mieux vous connaître pour nous assurer que notre programme vous convient. Nous nous investissons dans votre réussite dès le premier jour.
2. Ce test est conçu pour évaluer votre esprit critique, vos compétences en résolution de problèmes et votre aptitude à l'apprentissage (il ne nécessite aucune expérience préalable). Il est à choix multiples et ne prend que 15 minutes.
4. Une fois que vous avez été accepté(e), vous devez faire quelques devoirs avant le premier jour de cours. Les modules de préparation vous préparent au succès : ils donnent à chaque étudiant les mêmes compétences techniques et les mêmes bases avant le début du programme.
Les étudiants nous font confiance, c'est pourquoi nous nous appliquons aux normes les plus élevées pour garantir que tous ceux qui entrent dans notre programme soient prêts à réussir. Voici notre processus d'admission en quatre étapes:
1. Demande d'admission en ligne
1. Voici votre opportunité de vous présenter ! Parlez-nous de votre expérience professionnelle, de votre formation, de vos intérêts, de vos motivations et de vos objectifs. Cela ne prend que 5 à 10 minutes pour remplir une demande et il n’y a aucun frais à appliquer ! (PS. Plus vous postulez tôt, mieux c'est. Visez au moins 6 semaines avant la date de début souhaitée, cela vous donnera plus de temps pour terminer les modules de préparation.)
2. Test de logique
2. Ce test est conçu pour évaluer votre esprit critique, vos compétences en résolution de problèmes et votre aptitude à l'apprentissage (il ne nécessite aucune expérience préalable). Il est à choix multiples et ne prend que 15 minutes.
3. Entrevue
3. Nous voulons vous rencontrer! C'est aussi l'occasion pour vous d'en apprendre davantage sur le programme et de nous poser toutes vos questions. Nous voulons simplement mieux vous connaître pour nous assurer que notre programme vous convient. Nous nous investissons dans votre réussite dès le premier jour.
4. Modules de préparation
4. Une fois que vous avez été accepté(e), vous devez faire quelques devoirs avant le premier jour de cours. Les modules de préparation vous préparent au succès : ils donnent à chaque étudiant les mêmes compétences techniques et les mêmes bases avant le début du programme.
Lecture Schedules for Flex*
• 8 PM ET - 10 PM ET/ 5 PM PT - 7 PM PT
* All prices are in CAD and taxes are included.
A 10% deposit is required to secure your spot upon acceptance into the program.
* The start dates listed above that represent the first day of classes do not include the time needed to complete Prep Module.
All graduates of our part-time upskilling courses are eligible for an $850 credit towards a Bootcamp.
If you've completed a 21-Day Challenge, you've also earned a discount that can be used towards a Bootcamp.
Investing in your education is a big decision. To guide you along in this process, we’ve put together a Financial Guide to make finding the right funding easier.
Download the Financial Guide
Personalized digital skills training that meets you where you're at and connects you with where you want to go.
Filling out an application only takes 5-10 minutes. You've made it this far down the page, why not take the next step?
What is the difference between Data Analytics and Data Science?
Data analysts use past data to draw meaningful insights, identify trends, develop charts, solve problems and help businesses make more strategic decisions. They analyze well-defined sets of data using different tools to answer tangible business questions.
Data Scientists estimate and predict the unknown by asking questions, writing algorithms, and building predictive models to help businesses make more strategic decisions. Data scientists are typically tasked with designing data modeling processes, as well as creating algorithms and predictive models to extract the information needed by an organization to solve complex problems.
