Hi Kiran, if you are interested in learning Data Science and building a career in it, I would suggest that you break it down into multiple small steps, and try to concentrate on one step at a time -
- Data gathering (eg - using APIs of various data sources)
- Data processing and storing into structured format (eg - Python scripting)
- Querying the structured data to get meaningful information (eg - SQL or noSQL)
- Visualise the data in the form of graphs, charts etc. (eg - Tableau, Splunk)
For each of these steps, there are different technologies that you will need to learn, which are mentioned in the brackets. And these are just some of the examples, many more things are there in each of these spaces.