MOHAMMED BA SALEM

Associate, Business Insights & Analytics at TD BANK

PROGRAM NAME

QUANTITATIVE FINANCE TRAINING PROGRAM

PROGRAM TYPE

CERTIFICATE PROGRAM

 

PROGRAM INFROMATION

I joined Lantern within the Mathematical Finance and Data Science Stream while I was doing my master’s in data analytics at the University of Toronto. The program further enhanced my knowledge in the field of data science and machine learning and addressed some industrial use cases introduced by SME instructors in that field.

The curriculum is quite comprehensive as prior knowledge in this field will be a plus to get you quickly through the terminologies and some concepts. However, some of the instructors were there to help and provide all support and guidance to get you up to speed and ready to explore the tools and concepts. I found the mock technical interviews beneficial where you get feedback from instructors on ways to answer some technical questions and walk you through some interview scenarios. Overall, it was a great learning experience.”

MOHAMMED BA SALEM, TD BANK

NEED SOME ASSISTANCE

Have some questions about our programs and options that would be a good fit for you? Book a free virtual consultation with one of our representatives to go over different packages Lantern Institute has to offer, incentives, and which carefully catered and crafted program works best for you based on your experience, and career goals.

Book A Virtual Consultation

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.

COMPLETE A TECHNICAL ASSESSMENT

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.

OUR
ALUMNI

View Our Testimonials

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.