“I never planned on making a move from IT into finance so quickly. Investment Banking was something I had been curious about, but I honestly didn't know where someone from a technical background was supposed to begin. What helped was having a structured learning path instead of trying to learn everything randomly. The financial modelling sessions gave me a completely different way of looking at numbers, while the live labs made me actually work through models rather than just watch someone else build them.”

“I honestly didn't realize how much a pitchbook could matter until I had to create one myself. Before joining Meritshot's Investment Banking program, I had seen pitchbooks mentioned in job descriptions and interviews, but I had never actually worked on one. I knew the basic idea, but I wasn't confident that I could create something that looked professional enough to show in an interview. The pitchbook creation labs changed that for me. We weren't just discussing what a pitchbook is or looking at examples on slides.”

“What surprised me most about the Investment Banking program was how quickly the learning moved from basic concepts to actual deal-style analysis. I had expected a lot of theory, but the structured curriculum gave me a clear path, while working on real deal case studies helped me understand how the concepts are applied in practice. The biggest advantage for me was the combination of both. Instead of spending months trying to figure out what to learn next, I had a proper roadmap and practical work to build on.”

“I knew from the beginning that getting into Investment Banking wasn't going to happen just by completing a course and adding a certificate to my resume. I needed to actually understand the work, especially financial modelling, valuation, and how deals are analysed. That's what made me take Meritshot's program seriously. The program was definitely rigorous. There were days when the modelling assignments took much longer than I expected, and some of the case studies were genuinely challenging.”

“I didn't expect the Data Science program to take me from the basics all the way to Agentic AI... but that's exactly what happened. The progression felt natural... learn the fundamentals... practice them... work with datasets... build projects... and then gradually move into more advanced AI concepts. What I liked most was the hands-on part. The datasets weren't just random examples... they actually gave me enough room to explore, make mistakes, and figure things out myself.”