Posts

Showing posts with the label how to present data science project

Featured post

How to Use Special Keys in UNIX

UNIX operating system has some special keys. These you can use to interrupt the program processing or to resume it. The file management and keys totally different in UNIX kinds of operating systems. 



An example of a UNIX special key and its use.
Special Keys in UNIX much useful to take action  when something happens.

1. Why You Need Program Interruption in UNIX.

A scenario where you made some mistake in the input command and you need to stop the further process. Then you can use the CTRL+C command. It is equal to the DELETE command.

2. List of UNIX Special Keys.

RETURN key 
The RETURN key signifies the end of a line of input. On any terminal, RETURN has a key of its own, or return may be typed by holding down the control key and typing a 'm'.

CTRL-m Key
Hint: Ctrl-m command is equal to RETURN key in Unix systems


DELETE Key
The DELETE key stops a program/command immediately, without waiting for it to finish. DELETE can be achieved equivalently with ctrl-c.
Hint: Ctrl-c Command you can use …

Resume: How to Show Data Science Project

Image
In any project, the Data analyst role is to deal with data. The data for data science projects come from multiple sources. This post will explain how to put in a data science project in Resume.


Data Science project for Resume The first step for an interview of any project is you need Resume. You need to tell clearly about your resume. 

In interviews, you will be asked questions about your project. So the second step is you need to be in a position to explain the project.

The third point is you need to explain the roles you performed in your data science project. If you mention the roles correctly, then, you will have a 100% chance to shortlist your resume. Based on your experience your resume can be 1 page or 2 pages.

How to show Technologies used in Data science projects In interviews, again they will be asked how you used different tools to complete your data science project.So, you need to be in a position to explain how you used different options present in the tools. Sometimes, i…