It is expected that by 2025 around
125 zettabytes of data will be created. Around 30%
percent of the world's data was created by enterprises in 2015, by 2025 that figure will
reach
60 percent. This data needs churning and screening. Only a professional and an expert
data scientist can do the job. Hence there is a growing demand for data science
professionals who can use all the tools and expertise to drive useful inferences from this
data. As a data scientist, you have umpteen options like:
- Business Analyst
- Data and Analytics Manager
- Database Administrator
- Data Architect
- Data Analyst
- Data Engineers
- Data Scientist
- Machine Learning Engineer
- Statistician