Tag Archives: Data science

Do’s and Don’ts of Data Science

Don’t Start with the Data
Do Start with a Good Question

Don’t think one person can do it all
Do build a well-rounded team

Don’t only use one tool
Do use the best tool for the job

Don’t brag about the size of your data
Do collect relevant data

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Data is data

Data is the results section of a scientific paper.
Data is a graph on the dashboard.
Data is a powerful motivator when it puts what we already know about ourselves in numbers.
Data is necessarily biased because it cannot exist in a vacuum.
Data is rarely perfect or complete.
Data is the Wizard of Oz in whom we only see that which we desire to see.
Data is not meaning.
Data is not opinion.
Data is not a mirror mirror on the wall to reveal the hidden truth in it all.

At the end of the day, data is data. It’s people who write the Discussion sections.
People draw conclusions from analytics.
It’s people who create meanings.  People who form opinions.

Don’t confuse the two.