Data Scientist is deemed as “The sexiest job of 21st century”
Big data is a term for data sets that are so large or complex that traditional dataprocessing applications are inadequate to deal with them. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying, updating and information privacy.
Data analytics is the science of examining raw data with the purpose of drawing conclusions about that information. Data analytics is used in many industries to allow companies and organization to make better business decisions and in the sciences to verify or disprove existing models or theories.
Data Scientists are responsible for analysis of data with a goal of discovering insights which in turn can provide a competitive advantage or address a pressing business problem. His role is to analyze data from different angles, determine what is means and then recommend ways to apply that data. They employ sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling. They are also responsible to communicate predictions and findings to management and IT departments through effective data visualizations and reports.
I am very glad to know that you are interested in Data Science and you have already started for it. Now being a Data Scientist is not piece of cake it requires a lot of skills and practice involved in the domain. For that one requires to be trained properly from an expert in the industry with proper experience. You need to be acquainted and have expertise in Statistics, SAS,R Programming,PYTHON,SQL, Predictive Modelling, Machine Learning Algorithms and Text Mining.
Apart from it I suggest you to do a lot of projects and assignments in order to succeed and practice what you have learnt throughout and also get it validated by someone from industry.
Also another problem which comes up is at the time of hiring because apart from campus placement it is rare that companies hiring Data Scientist hire fresher and mostly look for experienced candidates.
The traditional business analytics jobs are shrinking as data science takes over the field. There are a few foundation components you would need to start a career in data science:
After that, you need to spend a couple hundred hours on exploratory data analysis, learning statistical modeling and machine learning algorithms, as well as practicing some end-to-end projects.
