Every step in the lifecycle of a data science project depends on various data scientist skills and data science tools. The typical lifecycle of a data science project involves jumping back and forth among various interdependent data science tasks using variety of tools, techniques (mostly statistical methods and formula), programming etc. Let us try to see what could be a typical life cycle.
technical skills only are not sufficient. One essential skill you need is to be able to tell a clear and actionable story - quite a strong point
Balakrishnan Subramanian
20 Apr 2020 04:19:57 PM
The article "Data Science : Brief understanding of Typical Project Life-cycle, Tools, Techniques and skills" is presented very neatly.
Sureshkumar Sundaram
23 Apr 2020 03:46:19 PM
Very well written. The above article data science ,Brief understanding of Typical Project Life-cycle, Tools, Techniques and skills ,all are clearly given.
Abhishek Mishra
25 Apr 2020 10:37:39 AM
he typical lifecycle of a data science project involves jumping back and forth among various interdependent data science tasks using variety - Agree
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Dibyendu Banerjee
19 Apr 2020 05:45:40 PM