A lot of questions are raised concerning the challenging research issues about data science. To answer these questions we have to identify the research challenge areas which the researchers and data scientists can focus on to improve the efficiency of research. Below are the top ten research challenge areas which will help to improve the efficiency of data science.
Since data science is expansive, with strategies drawing from computer science, statistics, and different algorithms, and with applications showing up in all areas, these challenge areas address the wide scope of issues spreading over science, innovation, and society. Even however big data is the highlight of operations as of 2020, there are still likely issues or difficulties the analysts can address. A few of these issues overlap with the data science field.