نشرت التدريسية م.م هديل طالب منجي مقالا بعنوان( Statistics' Vital Role in Information Technology and Data Science: A Relationship Analysis ) وذلك يوم الاحد المصادف 28/1/2024 <br /> <br /> Statistics' Vital Role in Information Technology and Data Science: A Relationship Analysis.<br />Witten by : Assist Lect. Hadeel Talib Mangi <br />Al_Mustaqbal University <br />College of Arts and Human Sciences <br />[email protected]<br /><br />The progress that the world has witnessed in the field of computer science in the last decade has had a clear impact on various sciences due to the need of these sciences for computer technologies, and this progress in computer science has been accompanied by technology. Methods of dealing with data produced by various sciences in large quantities, and this is reflected in the use of more modern techniques in computer science, which are artificial intelligence algorithms. These algorithms produced a new term for business data from the terminology of trading in the continuous period, which is considered data science, and it beautifully combines statistics and computer science, as it is now considered the modern market, which in the near future will be the most in-demand work in the market, since most of the labor market is first reserved and needs analysis. He predicted the future so that he could create his future project with the results that suit him. Hence the need for a new science, which is data science, and now here is the most important part of this new science, which is the need for its owner to be an expert in dealing with data, since the document is data. Therefore, statistics is considered the main driver and basis for data science. In order for a person to be within this field, he must know the basic concepts of statistics and how to deal with data. In addition, he has programming experience so that a person can enter this new science. We think it's part of machine learning, which is part of artificial intelligence (AI), which is part of computer science.<br />2 - Data Science intersects with all of the above, and their complement is statistics. Statistics have become the primary and main driver of deep machine learning and machine learning, and thus we say that not everything in artificial intelligence (AI) is machine learning...but all machine learning is artificial intelligence. In order for a person to be able to deal with everything mentioned previously, he would like to know the programs, comprehensive packages, and programming languages that can help in this work, part of which can be mentioned, and it is the most important at the time. It provides what is related to the programs designated for analysis, which are: 1- spss & Amos 2- Minitab 3- SmartPLS 4- State and other innovative programs for analysis. As for the programming languages, they are: 1- MATLAB 2- Python 3-R In general, statistics can be the liberation with which data science pulsates, in order to use data science. Basic concepts and concepts of statistics in building modern concepts<br /><br /><br /><br />