Examples of using Data analysis techniques in English and their translations into Greek
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Financial
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Official/political
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Computer
It also includes courses on research methodology and data analysis techniques.
Using advanced data analysis techniques, the team determined that indeed, the waveform signaled a gravitational wave.
Then we built this pen system with these different sensors and data analysis techniques.
Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results.
Explain the difference between machine anddeep learning versus traditional statistical data analysis techniques.
Moreo-ver, students are expected to apply analytical processing and data analysis techniques in practical problems related to modern data management.
Additionally, the company offers a complete spectrum of data-analysis related consulting services,as well as training seminars in advanced data analysis techniques.
Including fundamental and advanced statistical andmathematical principles upon which advanced data analysis techniques are built(machine learning, pattern recognition, data mining, etc.).
Adding a broader level of analysis, i.e. culture,to the study of individual behaviour requires the development of appropriate measures and data analysis techniques.
For the civil engineering sector,we can utilize data analysis techniques(such as time series and data fusion) to extract useful information utilized for model creation, performance analysis and more.
You will dive into the fundamentals of probability and statistics, as well as learn, implement,and experiment with data analysis techniques and machine learning algorithms.
In addition, we will present several qualitative methods and data analysis techniques applied in research on communication and the media(eg, narrative analysis, discourse and image analysis, syntax analysis, in-depth interviews, etc.) and a comparative assessment of the analytical range.
The program is designed with input from logistics and supply chain professionals andfocuses on the integration of data analysis techniques related to this field of business.
The Signal and Image Processing(SIP) program address the theory andthe practice of advanced data analysis techniques, from computational statistics, applied mathematics, scientific computing, and numerical imaging, to their practical implementation in several fields such as biomedical engineering, imaging science, audio processing, and information technology.-.
His academic interests include marine biology and ecology, Taxonomy of tropical andMediterranean fish as well as sample and data analysis techniques in a laboratory and Computer environment.
In order to strengthen the control of the data by the Commission, the Directorate-General for Fisheries and Maritime Affairs has askedthe Joint Research Centre(JRC) to improve the possibilities to detect anomalies in data through more sophisticated data analysis techniques.
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.
For example, engineering graduates will need to demonstrate an aptitude for applying their knowledge and skills to addressing biological questions, andlife science graduates will need to demonstrate an understanding of complex data analysis techniques and/or imaging methods.
Calls on the Commission to develop a wide variety of monitoring systems in the EU garment sector using key performance indicators- encompassing data collection using surveys,audits and data analysis techniques that can effectively measure performance and address the impact of the garment sector on development, labour rights and human rights in the entire garment supply chain;
It covers the IRHR literature that is considered to be the foundation upon which the student's career and future research are based,as well as the research methods and data analysis techniques that are relevant to the student's chosen area of specialty.
Upon completion of the learning process the student will be able To know how to plan a survey To identify andchoose the sampling techniques To identify data analysis techniques To process data by using modern statistical software To present the results of data analysis and To interpret the results of data analysis. .
Data mining is a particular data analysis technique that focuses on modelling and discovery of knowledge to forecast.
Gain in-depth technical skills in scalable data collection techniques and data analysis methods.
The programme provides direct experience of laboratory and computer calculation techniques and data analysis.-.
The research and development on innovative computing systems. The development of novel techniques in Data Analysis.
Finally, the program provides direct experience of the laboratory techniques and computer calculation techniques and data analysis.
Improve or optimize the current process based upon data analysis using techniques such as design of experiments, poka yoke or mistake proofing, and standard work to create a new, future state process.
This online medical course will give an introduction to survival analysis andcover many of the types of survival data and analysis techniques regularly encountered in epidemiologic research.