Data Science: Myths Vs. Reality
Today's big data will be tomorrow’s small data!
1 min readMar 30, 2020
Original Discussion is from Kaggle: Credit to https://www.kaggle.com/learn-forum/139655#790670
- 1
Myth: Data science is exclusively for experts(Ph.D. holders) in Statistics and Mathematics.
Reality: Cross-disciplinary experts with curiosity to learn new things make better data scientists. - 2.
Myth: Data Science is Science.
Reality: It’s a mix of Art and Science. - 3.
Myth: It is hard to find a Data Science resource for your organization.
Reality: Anyone can learn and be a good Data Scientist. - 4.
Myth: Data Science is all about complex coding using different tools.
Reality: Data Science is all about understanding and solving problems. - 5.
Myth: Data Scientist will be replaced by AI soon
Reality: AI is not capable of doing things like that yet, you need a vast amount of knowledge of the different domains. - 6.
Myth: More Data Provides Higher Accuracy
Reality: More data doesn’t translate to higher accuracy. It’s the Quality that matters the most. - 7.
Myth: Data Collection is Easy
Reality: Maintaining the integrity of the data and pipeline is a very important part that shouldn’t be messed around with.