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Transcript

Note: Transcripts are generated using speech recognition software and may contain errors.
Be big presents a new audio book on statistics for a data scientist. So the main motto and the reason to create this audio book is only for a single reason. We don't want to go for some hours of chapters here. So each and every chapter would be for a duration of five to hardly 10 minutes. So that while you are driving or while you were doing any sort of work, you can listen to this statistical concept. So why we are doing the statistical concepts and why you need to learn or why you need to listen to them a couple of times is so when you are listening to this statistical stuff, every time you're going to find the new things and you are able to identify the new concepts out of it. That's one of the main motto. Why we started up with this audio book? And there are some bunch of chapters in this audio book and each and every chapter. So we deliver it in a storytelling way. We don't just uh explain you the statistical concepts just by means of OK, come on, we are discussing today on statistical analysis. This is that this is that. So if I do it in this way, for sure you would get bored and you, you for sure you want to call me friends. So you want to say who this uh blood guy whose this voice is and you would be too angry and you want to kick me out, right? So I don't want to make you to feel like that. So whatever the audio things we are listening or what are the statistical concepts you are listening in this entire audio book, I try to deliver you without any boring kind of thing. And I make you to just create some curiosity, learn and to listen to this audio book. I know the pain to listen to the things. So for sure, I'm planning to deliver it well. So this is my basic introductory stuff. So now we would be getting started with our chapter one on what is statistical analysis and why I need to learn as a data scientist or a person who are planning to pursue their career into data science, why they want to learn about the statistical analysis? So let me start with a very storytelling way. Statistics without the statistics. There is nothing in this world, the day you born and the day you die, everything is a statistic. So when you born people, when you are in your mother's womb, people want to identify how many months it's gonna take in order to come outside of your mother womb, right? And when you born, they want to weigh you. So when you are out of the mother, um and when you are growing up, they want to weigh you, they want to test your knowledge, they want to measure your skills, they want to just to see how much thing you are earning while you are growing up, right? So they want to see what are the years of experience you are having up with how many skills you learn. So everything in this universe without the statistics, there's nothing happening in this universe, right? So statistics is one of the main thing and one of the utmost important thing, we need to give high priority. So and even we are giving the same high priority to each and everything we are doing. So if you want to buy a product, you use statistics in order to uh listen to this podcast or in order to listen to this audio book, even you just uh go for the statistics you compare between the audio books or you compare between uh the teaching skills or the teaching styles and you want to make a decision, you don't just go in a blind way. So in order to buy an apartment or in order to buy a house, you want the statistics, you go, you go and visit multiple plots or you visit multiple areas and you try to understand which one is better and which one is best. So always, statistics is important in order to go and in order to make a right decision, I always make the statement in a single line why statistical analysis used in order to make a right statement or in order to make a right decision, statistics is required. So in order to say whether the rice is cooked or not, you want to take some Granules of and you want to taste it only, then you can make a statement again, you want the statistics. In order to say whether the person can be hired or not, you want to just call them, you want to test them based on that. You want to make a statement as whether this person is good or bad for my company or not. In order to buy a dress, you want to wear it and you want to see whether this is good or bad. Again, you want the statistics. So without statistics, it's simple, you can't make any proper decision and you can't make uh I mean, you can't collect any proper amount of right data. So when you are a data scientist, so as you know, data scientist is all about, he is a problem solver. So when he's a problem solver, so you want to collect the right data, he want to collect the right information. So without collecting the right data or the right information, so how can we solve the problems? Right. So in order to collect the right data. So without the statistic, how can you collect the right data? It's impossible. So for that reason, so in order to collect the right data, whatever you are capturing, in order to solve a problem, just to ensure that yes, this data is sufficient for me or this data is exactly sufficient for me. In order to make this statement or in order to solve this problem for that you want statistics. So without these statistics or without the statistical analysis, you can't do anything over here, right? The main purpose why you are going for statistical analysis is just to make a right statement or to collect the right data or the right information. So when you collect the right data or the right information, you can solve the problem in the right way. So always there is a saying, ask me the right question so that I can solve the right problem, I can solve the problem in the right way. So in similar lines, so in order to solve the problem or in order to solve any sort of issue first, I want the right data, I want the right information and I have the right information or the right data, I can solve it. Just imagine I have the right question and even you are ready to give me the right answer, but there is no proper amount of reference in order to give the answer, it's impossible, right? So always stat the stakes is helping me. Come on, I'm gonna help you to collect the right data. So when you are able to collect the right data, whatever the questions a client can ask you, whatever the questions that people may ask you, you are able to deliver with the right answer. Only because of the right information, I can get it only with the help of statistics. That's the main reason why we are going for statistical analysis. Thank you.