Data Science: Myths Vs. Reality

Today's big data will be tomorrow’s small data!

Photo by Arnaud Mesureur on Unsplash

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.