The material covered in the course is mostly focused around the mathematics of the Bellman and Black Scholes equations. The professor takes several weeks attempting to relate between the two in order to provide a mathematical framework to price options through reinforcement learning, but fails to present this information in a way that is straight forward to put into practice. The problem is further complicated by inconsistent use of notation and excessive amount of details which are not needed to put the concepts into code.
The programming assignments are ridden with problems, from graders that only accept an answer which is technically wrong and must be entered with a "known bug" , to assignment instructions which include many complicated formulas... but not the ones needed to complete the assignment. On top of this the assignments are implemented in a hacky way that doesn't make full use of Coursera's auto-grader and instead requires copying hash-key's back and forth in order to submit answers, or even building your own local environment to execute the assignment notebooks as the cloud version gets stuck. The final peer graded assignment is specially bad, as the problems above get compounded by the difficulties of finding peers to review your assignment on a sparsely taken course.
The discussion forums were abandoned by course staff and the only support available comes from other students who have "figured it out" on their own, or had posted questions showing their code seeking help on messages which have been reported for months without a solution.