Mustafy, Tanvir. creator author. aut http://id.loc.gov/vocabulary/relators/aut Rahman, Md. Tauhid Ur. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access IX, 180 p. 259 illus., 230 illus. in color. online resource. This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs—Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses,and apply them to their research or professional fields. The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world. . General Overview -- Introduction to MATLAB -- The Fundamentals of Microsoft Excel -- Introduction to SPSS. by Tanvir Mustafy, Md. Tauhid Ur Rahman. Computational intelligence Quantitative research Mathematical statistics Data processing Engineering Data processing Computational Intelligence Data Analysis and Big Data Statistics and Computing Data Engineering Q342 9789819946617 https://doi.org/10.1007/978-981-99-4661-7 https://doi.org/10.1007/978-981-99-4661-7 240110 20251030110918.0 978-981-99-4661-7