Data science is a specialized field that combines multiple areas such as statistics, mathematics, intelligent data capture techniques, data cleansing, mining and programming to prepare and align big data for intelligent analysis to extract insights and information.

Data science and big data analytics are unique fields, with the major difference being the scope. Data science produces broader insights that concentrate on which questions should be asked, while big data analytics emphasizes discovering answers to questions being asked.
Data Science course involves the execution of different phases of analytics projects such as data manipulation, visualization and predictive model building using R software. On the other hand, the Big Data course majorly deals with processing and analyzing massive amounts of data using Hadoop technology.
Data Analytics career prospects depend not only on how good are you with programming--equally important is the ability to influence companies to take action. As you work for an organization, you will improve your communication skills.