I am currently trying to prepare myself for upcoming reading course that focuses on Walter Rudin's " Real and Complex Analysis" to learn the basics of complex analysis and measure theory that are needed for my research in the theoretical data science. Unfortunately, I have little background in the real analysis as I have not taken any course in the introductory analysis (but planning to do so in Fall).
What could I do to prepare myself for RCA? Is the prior experience with introductory analysis really needed? Is there way to study them simultaneously? What topics from introductory analysis are most essentials for RCA? On the side note, I heard Rudin's PMA is terrible compared to RCA, and I could not check out a copy of PMA.
I took courses like general topology (Engelking), abstract algebra (Lang, Aluffi), linear algebra (Hoffman/Kunze), etc.