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

Don’t ignore domain knowledge
Do consult a subject matter expert

Don’t publish a table of numbers
Do create informative charts

Don’t use just your own data
Do enhance your analysis with open data

Don’t do all the work yourself
Do partner with local universities

Don’t always build your own tools
Do use lots of open source tools

Don’t keep all your findings to yourself
Do share your analysis and results with the world!

Source: Do’s and Don’ts of Data Science | Data Science 101