 उस्हथे लगनावाद के भी तना, वो ँत्ये कर वोयादम् of introduction to data science course, अपकोगना वो तुस्वाद है, इस्से मेखग के अठाग मुऽ करने, अगर आपकोगना झी आप आखर कसे श्थ मैंरेदे का अथ. तुस्वाद कै लगना औगना वान के नस्थ. osoby who are like the data scientists who is farmers, how does the day go, how does it work, how do employees do it? One of the most important things in all of them is ethics. Ethics should be of no interest to you. And if you are also going by companies, then they have their code of ethics. They have their dress code ethics, code of ethics, different policies are coming in that. Purchasing, employees, management, etc. So all that comes, you know. और फिर थी थी नहीं वकत के साच साच जब आप एक इसी इंटिस्टारी कोगी अग़नाजेशन को ज़झन करतें तो फिर आप चीक ते आप ती सोभी भी लिए व्योड़ रोग बारे रेप्टिकस. यो देटा सेंटिस ते उसके लिए प्रफेशनल आतिक्योन जुन देर लिटिल भी देमारंदें even in that company, even if you talk about any society, if you work in the healthcare industry or in life sciences or in banking or in telecom, if you work in telecom, the data of telecom is very sensitive in that you know who the person calls and when we will cover the analytics of telecom, some other lectures or some other courses, you will see that the data of telecom is there, there is a wealth of information there so how you have to use it or not now you have the whole calling history of people, who calls, how much time it takes, from where it is called, from which network it comes and even if you are from the same network or different networks, the subscribers you have, the information of them, you can find out their gender, their age group, if they are registered in their name, you can find out so you can guess from this, similarly there is information of someone's health, information of someone's insurance, information of someone's bank account all this information and the world is going through from the challenging time, this is the situation of COVID and there are many issues so this data security, privacy, access, all these things, they make your role more and more important and you have to understand and learn ethics about your role that how much ethical I am in my role and how much I can improve it now these ethics, there is a long history of them and apart from this we will discuss some other things along with the time ethics, their importance is there from day one and along with this time it will increase your ethics, the first thing I have discussed a while ago is that your ethics, the data you have, you have a view, you are not supposed to disclose it you are not supposed to go into a, you know, the sniffing around one, you know some people's habits are good, if you have bank data, then I will see who is the top 20% or top 20%'s account holder if you want to know who is the top 20%'s account holder, then you have to know who is the top 20%'s bank ABC, you know, that is unethical similarly you can see who has taken loans, whose credit card is not being paid in time, you know and sometime it may happen that there are some people who are going to die, you know so if there is nothing else, then at least the company in which you work, your colleagues, you will definitely know that because everyone's salary goes to a bank, everyone's health, the health insurance is at one place or you are taking the health services from one place, children are going to similar schools, you know so this is very important for you that you have to maintain your ethical values and that is what, you know, distinguish you from an ordinary person once you are ethical, now look at business, you know, there is always a risk in the business now risk is called residual risk, it is called risk, it is called inherited risk now everything has a risk, if God wants a person to leave the house alive, then there is a risk that if you are traveling on an aeroplane, you are traveling on a train, then there is an inherited risk that there is an inherited risk in it, but as a data scientist how you can help minimizing that risk because you have to minimize that risk, that it is an individual's data, an organization's data or anyone's data so you have to make sure that you minimize that risk so that the information of the private, that is not public because even in this, then there are different other angles of the data privacy and data security ISO has different standards that they manage, the compliance of the companies have different standards that help these things in managing so this is basically what I said, code of ethics for an organization basically that covers all these angles, what is the information, what is the data privacy, what is the public what can you buy, what can't you buy, what can you give, what can't you give basically this is part of code of ethics of a company and these are the things that you have to practice, you have to make sure that you are an ethical data scientist