Essentials of Data Science With R Software - 1: Probability and Statistical Inference

[Music] [Music] hello friends welcome to the course essentials of data science with r software one and in this course we are going to handle the topics of probability theory and statistical inference which are useful in data sciences now the first question comes what are we really going to do in this course and what are we really going to learn in this course well we know that data science is one of the most popular name nowadays among all the subjects now what is data science data science depends on several aspects statistics computer science etcetera and each of this subject plays a very important role in creating the foundation for the data sciences now what is the role of statistics what are the different tools which are going to be used in data sciences from the statistical point of view or what are the tools which helps in data sciences in taking out the correct statistical inference and correct judgment these are the tools what we are going to learn in this course well there can be enormous number of statistical tool which are used in data sciences but in this case we are going to learn the foundations of data sciences that means those topics which are going to create the foundations for the learning of data sciences definitely without learning these courses you cannot learn data sciences so we are essentially going to deal with the topic of probability theory and statistical inferences and the main thing is this when we are trying to study these topics from the statistics point of view possibly we can read them we can study them in a small sample also but usually in data sciences the sample size is very large so you have to be very confident before applying any statistical tool that when you are going to apply it on a much bigger data set that is ultimately give you the correct answer correct statistical outcome or the correct interpretation of the results in data sensor you will not have an opportunity to look into the data and then decide what your data is trying to to make you learn you have to learn yourself on the basis of statistical tool so by learning these topics you will gain confidence that whatever tool you are going to use in the data sciences they are appropriate they are worthy and they are going to give you the correct statistical inference based on that you can take a correct judgment so that is the basic motive in this course which i am going to deal with now when you are trying to deal with bigger data sets definitely if you want to implement any statistical tool you need the help of a software so there are various software which can be used but in this course i am going to concentrate on the r software r is a free software and i expect that you have a basic knowledge of the r software although i will be giving you an idea that what type of tool i am going to use in this course which are from the r software but surely i expect that in case if you know the r software better that will help you so now we are ready to venture into the learning of the topics of data sciences and with this motive i welcome you in this course and i will see you in the next lecture whenever we start the course till then good bye