Solid foundation typically in computer science and applications, modeling, statistics, Data Analysis and math are required for being a Data Scientist. The best way to become a data scientist is to learn – and do – data science.
In other Words,
“The goal is to turn data into information, and information into insight.” – Carly Fiorina, former CEO, Hewlett-Packard Co.
“Data is the new science. Big data holds the answers.” – Pat Gelsinger, CEO, EMC
Road-map to become a data scientist developed by Swami Chandrashekaran :
There are a many excellent courses and tools available online that can help you get there.
Here is an outline that one can start with:
Coursera-Analysis of Algorithms
Coursera- Introduction to Databases
Probability and Statistics for Programmers
Statistical Formulas For Programmers
Google Developers R Programming Lectures
How to Think Like a Computer Scientist
Learning to Process Big Data with MapReduce and Hadoop – Hands-On Exercises
Predictive Analytics: Data Preparation
Data Wrangling in Pandas, Data Wrangler
Coursera-Computing for Data Analysis in R
Getting Started With Python For Data Science
Exploratory Data Analysis in R
Exploratory Data Analysis in Python
UC Berkeley: Descriptive Statistics
Basic Unix Shell Commands for the Data Scientist
Data visualisation in R with ggplot2 and plyr,
UC Berkeley Introduction to Data Science
Coursera-Introduction to Data Science
Teach Data Science-Syracuse University
Harvard Data Science Course Homework
my experience with Data Science 