Prerequisites for the course?

[Tellur]

Hi,
I'm pleased to see this course offered on edX again. But unfortunately I'm very much in doubt as to whether my current background knowledge will suffice to benefit from this course. I already wanted to take Andre NG's course on coursera in June but immediately backed down when I saw that previous knowledge of hypothesis testing and the least squared method was required. Though I have to admit that I didn't even try to fill in these maybe rather small knowledge gaps due to my limited time then.

My current background knowledge is:
- a reasonable good command of high school level calculus (just refreshing it)
- familiarity with basic arithmetic matrix operations (not more than high school level)
- very basic Python programming experience (currently taking the introduction course on udacity)
- only VERY basic familiarity with concepts of probability and statistics

The least mentioned is definitely my weakest point. I'm only superficially familiar with the very basic concepts like permutation/combination/mathematical expectation/mean/median/mode/standard deviation/Bayes' Theorem/standard deviation and variance/gaussian distribution and I would have to refresh even these basic concepts.
I have no experience with linear regression or the method of least squares. Though I do understand both concepts (without knowing the exact formulae) I've never really learned or used them.
I have no experience at all of hypothesis testing.

Given this "modest" background knowledge, will a few weeks (let's say 10-15 hours/week) of preparation to fill the gaps suffice to be really adequately prepared for this course?

In case yes, my most important question is: on which subjects should i concentrate in my preparation?

(In case no, I would nontheless try to use the archived version of the course at a later point after thouroughly filling in the gaps. So in any case I would be interested in the question on which subjects I should concentrate to prepare for this course.)