I’m looking for updated recommendations on online lectures and courses that cover quantitative finance in greater depth than the MIT program. Although the MIT course has been appreciated by many, its content is nearly a decade old, raising questions about its current relevance. I would love to hear your thoughts on whether the course’s age impacts its quality, and if anyone can suggest a more modern, comprehensive source or series of lectures that reflect the latest trends and methodologies in quantitative finance. Thank you for your insights!
Hey folks, I’ve been thinking about this too. The MIT course definitely laid down some solid foundations, but in the fast-evolving world of quant finance, it’s natural to crave something fresher. I find it intriguing how some of the newer online courses on platforms like Coursera or edX are now incorporating elements like machine learning and big data into their curriculum, which used to be niche topics only a few years back. It makes me wonder: How much does the old, established theory hold up when pitted against these modern developments? I’m curious if anyone has tried mixing resources, using the classics to build a base while also following updated tutorials or lectures for the latest techniques? What combinations have worked best, and where do you feel the gaps still exist? Would love to hear your experiences and any cool course finds you’ve stumbled upon! 
The MIT course has served as a reliable introduction to quantitative finance, yet its content now seems dated in a rapidly evolving field. In recent years, I have encountered newer programs on platforms like Coursera and edX that better accommodate innovations such as advanced computational methods and data analytics. These programs often provide a practical focus alongside the traditional theory, ensuring that the material reflects current market practices. In my experience, supplementing the foundational MIT insights with these emerging courses has significantly enhanced my understanding of modern quantitative techniques.