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The business landscape has undergone significant change as a result of the globalisation and information technology industries' steady growth. In addition to changing the employer-employee relationship, it has transformed the way that business is approached and the expectations and attitudes of employees while they are at work. Due to the diverse workforce and demanding climate of today, the responsibility of running a successful and profitable business falls primarily on the management. In today's competitive and demanding workplace, maintaining a healthy work-life balance is almost a necessity. In order to achieve work-life balance, employees' personal and professional lives must be in a state of equilibrium. 140 female workers in the IT and ITES sectors were used as the sample to examine how women employees perceive work-life balance and how that affects job satisfaction. In the investigation, a quantitative approach was used. 200 respondents completed a structured questionnaire that was given out in order to collect data. This data was then analysed using the proper statistical software. The data is found to be quantitative in the quantitative technique and can be divided into three categories: inferential, experimental, and simulation. An inferentially constructed database could be used to infer the characteristics or relationships of the targeted population. Because some of the variables are changed to see how they affect the other variables, the experimental form has a feature that offers a lot of flexibility in the study environment. One of the most important aspects of the simulation aspect is creating a synthetic environment where useful data and information can be produced. The results of the study show that an effective work-life balance will increase employee job satisfaction, which will improve organisational performance and give IT enterprises a competitive advantage. [ABSTRACT FROM AUTHOR]

For any corporate and financial organization, data science is the most reliable tool for assisting their leaders in making choices based on current events and facts. It was created using a variety of technologies and academic fields. The most significant field that contributes to the deep and basic workings of data science is statistics. In order to conduct essential mechanisms, functions, processes, and procedures to analyze and quantify uncertainty, statistics is assisting the most common tools and approaches in data science. The importance of statistics in delivering essential capabilities such as data gathering and refinement, data processing, data analysis, modeling, model selection, and model validation, as well as visualization for decision-making, is presented in this work. This research article elucidated the essential features of data science using various statistical tools and techniques. [ABSTRACT FROM AUTHOR]

Mathematics education for engineers is a wide-open field for research and development. A key objective of engineering mathematics education is to provide students with the tools they'll need to use a variety of mathematical methods and concepts in their coursework and careers. But only little efforts are made to show the practical relevance of the many mathematical concepts covered in engineering curricula. The inability to grasp engineering mathematics topics might impede learning in other engineering topics. The goals of teaching mathematics to engineers can only be met by striking a balance between teaching by example and teaching the underlying concepts. This article discusses several practical (informal) methods of developing mathematics-teaching applications for engineering students. An effort is made to comprehend the current situation of mathematics education in engineering institutions. The present teaching approach's flaws and virtues are discussed. [ABSTRACT FROM AUTHOR]

Mathematics education for engineers is a wide-open field for research and development. A key objective of engineering mathematics education is to provide students with the tools they'll need to use a variety of mathematical methods and concepts in their coursework and careers. But only little efforts are made to show the practical relevance of the many mathematical concepts covered in engineering curricula. The inability to grasp engineering mathematics topics might impede learning in other engineering topics. The goals of teaching mathematics to engineers can only be met by striking a balance between teaching by example and teaching the underlying concepts. This article discusses several practical (informal) methods of developing mathematics-teaching applications for engineering students. An effort is made to comprehend the current situation of mathematics education in engineering institutions. The present teaching approach's flaws and virtues are discussed. [ABSTRACT FROM AUTHOR]