Big data analytics is the process of examining large and varied data sets -- i.e., big data(Black box Data, Social media Data, Stock Exchange Data, Search Engine Data, Transport Data, Power grid Data) -- to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. Volume, Variety and Velocity are the three V’s of Big Data. A person involved in this kind-a-job is called to be a “Data Analyst”. And to receive this tag by large group of people he/she needs to be super good at statistics and if accompanied by software developing skills he/she would be called as “Data Scientist”. How to be a renowned and efficient data scientist? Technical Skills that the person needs to be good at are: Statistical methods and packages (e.g. SPSS) R and/or SAS languages Data warehousing and business intelligence platforms SQL databases and database querying languag...