I am from computer science department doing research in data mining and image mining. I remember the last course about stat was introductory to statistics and probability in general. Now I have this course in master degree Multivariate statistical analysis and it's only for 1 month and it's very difficult to understand a lot of concepts. I need an easy to follow book about the subject of Multivariate statistical analysis for beginner!
Judging by your question, your program sounds similar to the many accelerated MS degrees with 6-8 week courses on each subject. I would recommend to go for statistics or econometrics texts for executive MBAs to survive. The EMBA level texts are easy to follow and do not expect strong math background. e.g. Wharton's EMBA program has Stat 613 as core course, and it uses Stine and Foster's text.
It's good to set the expectations right though. It's impossible to learn statistics without at least calculus and linear algebra, so if your definition of "easy" is without these two skills, then you're not going to learn anything useful in one month, but it's Ok. It's just the nature of these degrees, you only need to get an exposure to the field, i.e. very similar to EMBA objectives.
For programmers I'd recommend fun books such as R by Example in Springer's Use R! series. I read it while learning R already knowing statistics, but think that it can be used to learn both R and statistics. R is rather interesting language for programmers, it's based loosely on functional programming (FP) paradigm. That's why if your programmer friend is a hardcore programmer, he must know stuff like Haskell or Scala, and will feel comfortable picking a new FP language, especially because FP is fashionable again these days.
Another title in the same series is An Introduction to Applied Multivariate Analysis with R. If your friend is in good school, he will probably have SpringerLink access through his library, i.e. free PDF download of a book.
Multivariate statistics is very broad, but given your background I'd recommend "Introduction to Statistical Learning" http://www-bcf.usc.edu/~gareth/ISL/ It's a really nice intro book to modern multivariate techniques that are popular in data mining and machine learning. You can get the PDF for free.