Data analysis is crucial for understanding results from a survey, administrative sources and pilot studies. Without carefully analyzing the information collected, the researcher cannot link the sources and draw a final conclusion. Therefore, analysis of the data has to be done with
According to Kuhlthau (2008), as consequences information literacy is gaining a high profile as central to education. This dynamic concept extends basic reading, writing, and calculating skills for application in information and technologically rich environments. Hence, students need a good knowledge and experience from librarians for their education process by using library resources. This is because students must be able to use effectively information resources, regardless of formats. (Mohammad Fazli Baharuddin, Mohd Sharif Mohd Saad and Fuziah Mohd Nadzar, 2011) found that, from 200 questionnaires distributed, 157 questionnaires were returned and about 47.8% of the teachers were unsure about information literacy.
 Chandra, E. and Nandhini, K. (2010) Knowledge Mining from Student Data, European Journal of Scientic Research, vol. 47, no. 1  El-Halees, A. (2008) Mining Students Data to Analyze Learning Behavior: A Case Study, The 2008 international Arab Conference of Information Technology (ACIT2008) Conference Proceedings, University of Sfax, Tunisia.  Shannaq, B. , Rafael, Y. and Alexandro, V. (2010) Student Relationship in 24 Student Performance Analysis using Apriori Algorithm Higher Education Using Data Mining Techniques, Global Journal of Computer Science and Technology,  Shyamala K. and Rajagopalan S. P., Data Mining Model for a better Higher Educational System", Information Technology Journal, Vol.
Abstract Big data is everywhere. Big data revolution is creating paths to collect and analyze information of varying sizes, types and volume. It’s not only used in sectors like marketing, sales and product development. The potential use of big data is also spread to HR and Finance which help in finding new insights and strategic decision making. With big data, HR has exceptional opportunities to become more data driven analytical and strategic in the way it obtains talent.
Furthermore, there are some people that they see the ability of forsee future medical problems as positive, but Big Data can be seen as replacing doctors. At the moment, Big Data is not ready to be used on its own. Also, some experts believe this vast growth of Big Data will undermine doctors and the patients will turn into technology for solutions instead of a licensed
The data presented in the form of table, represents clear to understand data. In the market research process, data analysis is an important step. Information collected is disseminated and presented in an insightful manner to make a decision. The amount of data that can be collected in a market research study can be astronomical. Tabulation
Abstract The advent of social networking and Internet of Things has resulted in an exponential increase in the volume of data. Simultaneously, the need to process and analyze the large volumes of data for business decision making has also increased. Many business and scientific applications need to process petabytes of data in efficient manner on daily basis. This data is categorized as "Big Data" due to its sheer Volume, Variety and Velocity and has resulted in a problem for the industry due to the inability of conventional database systems and software tools to manage and to process the big data sets within tolerable time limits. The scale, diversity, and complexity of Big Data require new architecture, techniques and algorithms to manage
Below is the list of Interview Questions mostly asked in the area of Data Science 1. What is Data Science? A. Data Science is an inter disciplinary field of different scientific methods, techniques, processes and knowledge that is used to transform the data of different types such as structured, un structured and semi structured data into the required format or representation. Data Science concepts include different concepts such as statistics, regression, mathematics, computer science, algorithms, data structures and information science with also including some sub fields such as data mining, machine learning and databases etc., Data Science concept has recently evolved to greater extent in the area of computing technology in order
3.5 Data analysis Data analysis is very important and also can use to supports the decision making process through suggestions, opinions and ideas to solve the recent issues. When the data was collected from the questionnaire, the data will be analysed through Statistical Package for Social Sciences (SPSS) software. After that, the data will then interpret into charts to make sure the searcher will clearly understand the results from the questionnaire. For observation method, the data will be analysed from the pictures taken. The researcher will interpret the pictures into logical ideas and opinions on how to improve the public bus service in Bandar Seri Alam.