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WE FOCUS ON RESULTS, FROM A HANDS-ON INDUSTRY-FOCUSED TRAINING PROGRAM. SPOTS ARE LIMITED. APPLY BELOW.

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TECHNICAL ASSESSMENT

Not sure if you qualify for our Technical Mentorship Program? Unsure how your previous experience is relatable to your future career? Use the button below to complete our Free Technical Assessment to get a better understanding of your starting point and areas of strengths and weaknesses to kickstart your training for your future career.

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OUR RESULTS DRIVEN TRAINING MODELS

ALLOWS EACH STUDENT TO TAKE PART IN A FLEXIBLE PROGRAM TO GAIN THAT REAL WORLD EXPERIENCE THROUGH INDUSTRY BASED, TRAINING, PROJECTS & MORE.

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The instructors are busy professionals, but they generously exchange ideas and supervise the projects and usually accept mentorship requests. The scopes of the projects vary from 1 month for the basic courses, to 4 months for the advanced courses. The system is very co-operative and in my personal case, I have learnt a lot from my classmates, while collaborating on different projects. Lantern has skin in the game and charges a small registration fee relative to the norm of the industry; its bulk of income depends on future graduates’ success in landing a decent career.

Prior to Lantern, I had specialized in UofT’s Analytics stream, which was just a theoretical exposure to 4 data science courses. At Lantern, I practically developed my coding skills. Serious students who dedicate time and effort (at least 20-30 hours a week) will develop the fundamental coding skills in Python and R within a 3-month time period, and then they can build up more complex Machine Learning and in-depth analytical projects supervised by instructors all of whom are industry professionals. The class size is approximately 20 students for general courses and gets smaller for more advanced courses. Throughout the semester, students get career advice, resume review, soft skills catch up, mock interviews and should also deliver a few presentations about the projects they have developed.