Examples of using Data analysis techniques in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
Data Analysis Techniques.
Demonstrate mastery of data analysis techniques;
The study used data analysis techniques to smallest space analisys(ssa), descriptive statistics, correlation and analysis of variance.
Technical report/note: description of instruments, original research methods,new data analysis techniques.
Apply knowledge of data analysis techniques in different domains and new areas;
The curriculum focuses on different areas of project and Information Management,various Data Analysis techniques as well as HR and Marketing.
Data analysis techniques can be useful in decision-making processes, when patterns of interest can indicate trends in specific domains.
Instrument simulations and data analysis techniques in X-ray astronomy, BE.EP. PD.
Research Methodology Students will have an opportunity to examine research designs with methodology as well as data analysis techniques employed by researchers.
Demonstrate knowledge of statistical data analysis techniques utilized in business decision making.
Efficient and effective processing of such data for actionable knowledge might result in better performance of the organization by exploring mainly data analysis techniques.
Next, for each of this study's hypotheses, the data analysis techniques that were found to be most appropriate for testing the study's objectives are detailed.
Know how to recover data andextract knowledge from large volumes of data through the efficient application of data analysis techniques in different domains.
What kind of data analysis techniques can contribute to a radical critique or illuminate network regularities beyond human interpretation?
It required one of the largest andmost efficient telescopes in the world, the VLT, and accurate data analysis techniques to enhance the signal from such a faint star.
Application of application data analysis techniques to knowledge of biodiversity and its conservation. 30. Taxonomic techniques for biodiversity analysis. .
In this context, an ubiquitous problem inthe area deserves attention, the missing data, since most of the data analysis techniques can not deal satisfactorily with this problem, which negatively impacts the final results.
The use of data analysis techniques shows its importance as, after data collection, it requires accurate readings and interpretative and creative discussions.
The limitations also relateto the variables selected, as well as the data analysis techniques and information available on the BM&FBOVESPA website and the Bloomberg database.
Section 2 develops the hypotheses by reviewing the international and Brazilian literature referring to the role of deferred taxes as an instrument of earnings management and regulatory capital adequacy; section 3 presents the study's methodology, including descriptions of the sample collection,variables and data analysis techniques; and section 4 presents the conducted tests and results of this study.
In this aspectthere has been progress, both in sample theory and data analysis techniques, points that are dealt with in this seminar and approached in the articles presented in this number.
Business transactions within a single company and between companies in a supply chain, that include processes and the logistical flow of products, services and/or information,are studied thoroughly by data analysis techniques, conceptual or mathematical modeling techniques and techniques of decision making.
With the aim of contributing to this field, the current thematic issue presents studies on the validation of food frequency questionnaires FFQ,applications of new food intake data analysis techniques including comparisons between surveys on household food balance and availability, application of statistical techniques to food pattern analysis, and critical analysis of dietary guidelines for healthy eating, highlighting the proposal for a new food classification based on the extent and purpose of industrial processing.
You will be exposed to first-class specialist education in financial subjects, develop your quantitative skills, andhave the opportunity to learn the latest econometrics and data analysis techniques, which are becoming extremely important for a successful career in the financial industry.
The Master program is destined to(potential)decision-makers wishing to add value to their strategic capabilities by taking advantage of information decision support and data analysis techniques, as well as specialists in information processing wishing to participate in the development of computational systems for business intelligence and decision support.
This is not a new field, says Bobley, but rather a range of activities that can include the use of aerial photographs by archeologists to scan sites,the development of data analysis techniques that help linguists study old newspapers, and the study of the ethics of the technology by philosophers, to give just a few examples.
The data analysis technique used was the tdabc costing method and content analysis. .
To answer the question proposed by this research,we chose the panel data analysis technique.
In order to achieve this objective, the research is qualitative approach, features an exploratory character, andutilizes a focal group as a data analysis technique.