Before start working on a new Data Science Project, We can start by asking ourselves some questions like:-
<ol>
<li>Do you have data? How much data do it have? Do you already collect the data needed?
</li>
<li>How is the quality of data? Does it need cleaning efforts?
</li>
<li>Do you want to use a precise type of algorithms? How are you going to use the system?
</li>
<li>What is the latency criteria and will you be going for real time training or does your data keep changing for your algorithms?
</li>
<li>What level of accuracy are you satisfied with? 70–80% accuracy would be good enough?
</li>
</ol>

Before start working on a new Data Science Project, We can start by asking ourselves some questions like:-

1.  Do you have data? How much data do it have? Do you already collect the data needed?
    
2.  How is the quality of data? Does it need cleaning efforts?
    
3.  Do you want to use a precise type of algorithms? How are you going to use the system?
    
4.  What is the latency criteria and will you be going for real time training or does your data keep changing for your algorithms?
    
5.  What level of accuracy are you satisfied with? 70–80% accuracy would be good enough?

Asking Questions in Data Science