And you combine a few- and you got yourself the workload of an undergraduate course. Those courses are meant to be taken over a period of six months. The courses I mentioned are designed to be offered over a full semester. And I really think that courses put forward by MIT OCW are of high value and should be a serious resource to learn from.Īnd, the thing about those courses is- they take a prohibitively long time to finish. I have watched videos on Calculus from there while in High School, learned a great deal on Thermodynamics from there while in the second year of college. I really like any course offered by MIT OCW. And, so I wanted to go by manual.Īnd I was reading a lot about Data Science rather than reading/watching videos on Data Science.
I was very serious about studying Data Science methodically. And I was very worried.ĭo I need to revise everything I have had learned in my Linear Algebra and Calculus courses? Do I need to have a solid grasp of all the mathematical formulae that were in those courses in order to learn Data Science? Should my preparedness level in those topics need to be like that I had the nights before I appeared for the exams of those courses? Am I expected to keep the generating function of the Legendre polynomials on the tip of my tongue?Īll these questions flooded my head and I was confused. I have taken courses in Linear Algebra, Differential Equations, Advanced Calculus, and so on.Īnd while the concepts that I learned stuck with me, the details of the mathematical tidbits faded with time. Having come from a Physics background, I had solid foundations in Maths.
“You are the best person to guide the people who are right one step behind you”. In this post, I provide you with a clear answer.
And it is one of the questions that occupy the minds of people who are seriously looking into beginning their Data Science journey. It was one of the burning questions that I had before I started my journey in Data Science.
0 kommentar(er)
