In today's world data science is one of the most important things which are performed in any institution or organization whether small or large, public or private, or any company too. Data science is a field of study that mainly includes data collecting, data storage, data cleaning and various other things which help us to visualize and analyze data and interpret various results and predictions according to our interpretation and these various steps of data science are done by programming skills in a programming language which is python, and mathematics skills and a little knowledge of the data we are working on is also required. 

A data scientist or a data engineer is mainly a person who has knowledge of data science and who does data engineering working for any organization or working even as an indivisual. Various steps of working on a data science project include the following: 

1. Obtain the data for the project from the scrap or from the source.

2. Cleaning data is one of the most important steps.

3. Data engineering.

4. Visualize the data using various programs built in python such as pandas, seaborn, plotly and matplotlib.

5. Deploy machine learning by making useful models for various prediction for our given dataset.

6. Iterate the predictions and results

In order to successfully complete your first data project, you need to recognize that your model will never be fully complete. In order for it to remain useful and accurate, you need to constantly reevaluate, retrain it, and develop new features. If there's anything you take away from these fundamental steps in analytics and data science, it is that a data scientist’s job is never really done, but that’s what makes working with data all the more fascinating. 

In today's world programing and data science is becoming a basic thing to learn for not only a software engineer but everyone in the technical field. I myself am too a computer science engineering student and I know how fascinating a data scientist's job is as this is a very wide and big topic and you keep learning new things everyday and you explore new things every time you are trying to work on a data. There are various websites where we can learn data science by purchasing online courses or by taking their premium memberships or even many of the basic programming skills are their out on the youtube for free, people just have to access these resources. Also their are many websites from where we can various datasets for any topics of our choice and then work on that dataset like for example their is kaggle, github, w3schools and various other websites and github is one of the most websites for programmers and data scientists as it is an open and free to access repositories of every programmer around the world.

Earlier Data Science was not considered as an important topic or a subject of discussion but it is now in most of the colleges and universities it is considered as one of the important topics and its basic knowledge should be known to everyone and mainly those students who are persuing engineering. It has many advantages like it saves both time and money, helps in managing and processing complex data, and also improves decision making process.