10 Commandments of Data Science in 2021
1. Focus mainly on solving the problem and not on tools, technologies, and
models.
2. Data will never be clean or easily available. Data gathering and cleaning
will take 80% of your time and efforts.
3. Don’t underestimate the power of Excel and SQL - they are still two of the
most useful tools for data analysis.
4. Simple models such as Linear or Logistic Regression will be good enough for
many problems. You don’t need neural networks to solve every problem.
5. Textbook solutions may not work for most of the practical problems. You will
need to try new approaches and innovate as required.
6. Nobody can remember everything. On the job, you can always use Google, Stack
Overflow etc.
7. Learn Data Visualisation and develop the ability to explain your key insights
in simple terms - such skills will be very useful with non-technical and
business stakeholders.
8. Learn PowerPoint and storytelling - people may not appreciate your great work
if you can’t convince them with your story.
9. Data Science is evolving rapidly. Please learn continuously, else you may
become obsolete soon.
10. Focus mainly on solving the problem and not on tools, technologies, and
models.
Agree?
#DataScience
Follow Dr. AngShuMan Ghosh (Ph.D., MBA, BE)
1. Focus mainly on solving the problem and not on tools, technologies, and
models.
2. Data will never be clean or easily available. Data gathering and cleaning
will take 80% of your time and efforts.
3. Don’t underestimate the power of Excel and SQL - they are still two of the
most useful tools for data analysis.
4. Simple models such as Linear or Logistic Regression will be good enough for
many problems. You don’t need neural networks to solve every problem.
5. Textbook solutions may not work for most of the practical problems. You will
need to try new approaches and innovate as required.
6. Nobody can remember everything. On the job, you can always use Google, Stack
Overflow etc.
7. Learn Data Visualisation and develop the ability to explain your key insights
in simple terms - such skills will be very useful with non-technical and
business stakeholders.
8. Learn PowerPoint and storytelling - people may not appreciate your great work
if you can’t convince them with your story.
9. Data Science is evolving rapidly. Please learn continuously, else you may
become obsolete soon.
10. Focus mainly on solving the problem and not on tools, technologies, and
models.
Agree?
#DataScience
Follow Dr. AngShuMan Ghosh (Ph.D., MBA, BE)