 students welcome to module 186 of introduction to data science course in this course we will discuss the role of modern day data scientist in different industries responsibilities, expectations of people and how to work in society and this is very very interesting since the beginning of this course we have tried to take practical approach with it so that when you go to industry you should be able to work according to expectation of the industry and this is our focus in this module that we prepare you for the industry we will see how the day of data scientist passes in any industry what is the important work of a data scientist what is the routine work of it the purpose of this is that when you go to industry this training I would call it more of a training than normal courses in this we are preparing you for how to perform in industry the whole day of a data scientist is about data the most important thing in his life is data the work in industry is that how to gather data how to perform different analytics on data how to present the data so basically you are doing it for years but after that the work of data scientist is that he has to work on the morning and evening data in any industry you have to see that I have different data sources what is the data source, what is the data I need, what can I get what is the problem of the industry how can the data scientist help the business the whole day of a data scientist is that he has to collect the data he has to organize the data he has to do meetings with the different co-workers he has to listen to their problems he has to solve the problem he can do a data scientist any other department, any other staff members or team members it is very difficult to do this because of that he understands the whole industry in any industry he knows how to produce data how to process it, where to store it how to get results from the data how to present the data whereas the rest of the people they work in different silos if a person is in finance then he is working in finance if a person is in marketing then he is working in marketing similarly for the store people you name it manufacturing people so every person is in their own domain and their access to the data is only up to that point so they cannot envision that they cannot force that thing that a data scientist does that is why the role of a data scientist that is very very critical and very very important and the whole day I reiterate that the data scientist who has spent the whole day data, data, data his life is around data the next role of a data scientist an important thing that is teamwork as I have just told that a data scientist has a complete overview I have taken the names of different departments that are functional departments finance, marketing, stores, sales but at the same time data scientist has to work with IT department as well because IT department they are custodian of data all the systems that are being used in any industry they manage them, they handle them the application in which you enter the data basically that application then everything is managed by IT it is hosted by the cloud it is hosted by the data center but they are managed by IT the team work of the data scientist the team mates he is working with almost every corner every quarter of any organization he has to work with IT he has to work with admin he has to work with finance the team work as a data scientist you will see that this is a very very great skill to be part of a team as per your personality type every human being is different in nature but being a team player it is a great technique it is a learning and it helps you throughout your career to grow in your industry the different stakeholders have different expectations because you are a very very valuable asset for the company because your insight is towards each and every area when the company purchases, sells, stores you have everything's insight so the different team members they have certain expectations towards you because you have to meet their expectations and this is your value addition as a data scientist you have their expectations first of all you will understand their problems then you will look for their solution because when they have any problem they have certain expectations they think that the data scientist he is our company doctor he will help us but this is your success because you will meet their expectations and you will tell them the solution to their problem for data scientist there are many other things because what we know being in IT, being in computer science being in data science there are many new things there are different discussions new programming languages new devices new industries different industries depending upon which industry you will work in every industry every day new things are coming there are things happening around the world as a data scientist you have to keep up yourself with the pace of the industry in this industry, with the pace of IT that is why you have to be a member of different blogs you have to be a member of different groups different platforms like the dotnet platforms your memberships you have to be a member of different societies around the world where you get opportunities to sell and learn and whatever you learn from outside you will get an opportunity to implement those things in your industry to do all this for that research is also necessary and today's research is very easy you don't have to go to the libraries and go through the books and the manuals and stuff in today's day you have to have access to the right websites and being students I believe you have access to so many things you get free membership as a student you get free software licenses I mean you have as a professional we have to pay but as students you get almost free access to almost everything you get free software version so you have to do research there is a GitHub and there are some other platforms where you get code basically you get software codes which you can use for your data modeling for your software if you get your preferred language python you will get developed code you will get statistical models of different regression and correlation you will get sample data so research and then adopting that research is one of the key factors for your success thank you