Here are the 3 most important FAQ's that I as a beginner had and somehow managed to find the answers too.

#1 : Data Science or Big Data?
Data Science and Big Data, are sometimes confusing to the beginners
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Big data is a popular term used to describe the exponential growth and availability of data, both structured and unstructured. Therefore persons working on this are mostly deal with processing and analyzing massive amounts of data.
On the other hand , Data scientists investigate complex problems through expertise in disciplines within the fields of mathematics, statistics, and computer science. These areas represent great breadth and diversity of knowledge, and a data scientist will most likely be expert in only one or at most two of these areas and merely proficient in the others.

#2 : What Programming language would be necessary?
The Data Science course is entirely taught in R software which is an open source statistical programming language and one of the essential tools that are a part of any Data Scientist’s Tool Kit. Due to its extensive package repository around statistical and analytics applications, R is tremendously growing in popularity around the world and many firms are on the lookout for R programmers.

#3 : How do I become a data scientist?
There is a 9 set course with a capstone project , on Coursera provided by the John Hopkins Bloomberg School of Business.Its a free course and by far the best place to start and even finish.

Course Link : Coursera
Further Reading : Data Scientist: The Sexiest Job of the 21st Century - HBR