Examples of using Data analysis methods in English and their translations into Indonesian
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In this module you will cover a range of data analysis methods and concepts.
However, other data analysis methods and metrics, such as standard deviation and variance, are also available.
Approaches or procedures of study together with data analysis methods must be presented.
Data analysis methods are validity and reliability test, descriptive statistical analysis, Pearson correlation, and simple linear regression, using the help of SPSS 21 for window software(Pramesti, 2013: 37â66).
Have the data collection and data analysis methods been described in sufficient detail?
You can drown in disputes over t-statistics,dummy variables and‘Poisson' vs.‘least squares' data analysis methods.".
NOAA's Climate Data Record Program is applying modern data analysis methods to historical global satellite data. .
You will acquire in-depth technicalskills in scalable data collection techniques and data analysis methods.
Data Science is a blend of traditional data analysis methods with sophisticated algorithms for processing huge amount of sets.
You will acquire in-depth technicalskills in scalable data collection techniques and data analysis methods.
Data mining is a technology that blends traditional data analysis methods with sophisticated algorithms for processing large volumes of data. .
You will also be able to work on problems specific to a scientific discipline andto combine domain knowledge with the latest data analysis methods and tools.
Given this,the employment situation requires very well trained professionals in data analysis methods in health and with a global understanding of health systems.-.
In the Data Science master's programme, you will also be able to work on problems specific to a scientific discipline andto combine domain knowledge with the latest data analysis methods and tools.
The methodology module covers observational techniques, data analysis methods, detectors, and numerical methods. .
Exoplanet research is one of the most exciting new frontiers in astronomy, and direct imaging of planets is still a new field,greatly benefiting from recent improvements in instruments and data analysis methods.
We reexamined the existing data, added some new observations,and applied two different data analysis methods especially designed to deal with multi-planet signal detection.
Choose suitable data analysis methods for the analysis tasks at hand from a reasonably wide selection ofmethods, including methods that are necessary for integrating data from different data sources during data preprocessing and/or analysis. .
It relies heavily on game theory and quantitative and qualitative data analysis methods, which enable consistent and efficient examination of economic and political crossing points.
Data analysis methods used to process and analyze the data that has been obtained during the study is an analysis of the qualitative analysis is done by arranging the data that has been collected systematically, in order to get an idea of what is studied.
The Economics and Politics Programme relies heavily on game theory and quantitative and qualitative data analysis methods, which enable consistent and efficient examination of economic and political crossing points.
You will emerge with substantial vocabulary andpractical knowledge of how to apply business data analysis methods based on binary classification(module 2), information theory and entropy measures(module 3), and linear regression(module 4 and 5), all using no software tools more complex than Excel….
Non central data analysis method with artificial intelligence technology.
It is a data analysis method that further helps in automating the analytical model building.
Interpretative phenomenological analysis was used as the data analysis method.
(3) Verify the practical use in which the data analysis method is established and its efficacy is verified.
Thequalitative data analysis method is done by organizing data, elaborating it into small units, synthesizing it, arranging it into patterns, selecting and sorting out important and unimportant data, and finally concluding so that the conclusions are information that can be submitted to other people.
Data analysis method in this study used PLS-SEM.
Data analysis method used is panel data.
Big data analysis method is for a long time being applied to determine target audience, their interests, demand, and user activity.