Data science is one of the most impactful areas of the post-millennial world. If the last decade gave us a glimpse of what data can help achieve, the coming decades will prove this to be the tip of the iceberg.
Becoming a data scientist requires multidisciplinary skills ranging from coding, programming, data wrangling, knowledge of machine learning, artificial intelligence, deep learning, analytics tools, statistical algorithms and techniques to data visualisation, domain knowledge and soft skills. Analytics India Magazine interacted with Manoj Sharma, Director-Human Resources, NetApp India who shared some interesting insights on what it takes to be a good data scientist.
Author: Srishti Deoras