Examples of using Data interpretation in English and their translations into Indonesian
{-}
-
Colloquial
-
Ecclesiastic
-
Computer
-
Ecclesiastic
Data Interpretation System.
EWS3 coding data interpretation.
Data interpretation isn't required here.
Assist with data interpretation.
Data interpretation problems usually require two basic steps.
People also translate
The other half is data interpretation.
Reserve data interpretation for the discussion.
Economics degrees will teach you critical thinking, problem-solving, data interpretation, and more.
Data interpretation covers the basics of x-rays, ECGs and other key areas.
Sophisticated high-throughput techniquespose new challenges for data integration and data interpretation.
Expertise in analytical techniques, scientific methods of investigation and data interpretation for the recovery and conservation of cultural heritage;
With the MS in Data Visualization, students obtain the diverse skill setneeded for success in a range of careers related to data interpretation.
The four sessions on sensors, calibration, data interpretation and visualization, and applications respectively will cover the entire spectrum of laser scanning technology.
Statistics is basically a science that involves data collection, data interpretation and finally, data validation.
Here, Verbal Ability, Data Interpretation& Logical Reasoning and Quantitative Ability would be the three basic segments that implemented in these examinations to inspect only the eligible candidates.
Have responsibility and contribution in planning, drafting, data collection,data analysis, data interpretation, revision, and integrity of writing.
Students acquire training in experimental design, data interpretation, ecological fieldwork and theoretical modeling, both in a classroom setting and during hands-on field work.
The workshop heard that, in terms of challenges of new technologies in the research and societal environment, for researchers these lie mainly in the area of bio informatics solutions,benchmarking technologies and data interpretation.
Students acquire training in practical areas such as experiment design, data interpretation, ecological fieldwork and theoretical modelling, both in a classroom setting and through fieldwork.
However, the ability to make quick estimates is a useful skill to have even if you are sitting a graduate orprofessional level test as it will enable you to roughly check your answers to data interpretation questions.
Recently, an increasing number ofcompanies have entered the area of genomic data interpretation, many of them small startups such as Genformatic, a Bioinformatics company based in Austin.
Qualitative data interpretation occurred throughout the interviews and was led by the first two authors who constantly met to discuss the data, and to add new questions to the interview schedule as new ideas, experiences, and opinions emerged from participants' interviews.
Students have the opportunity todevelop skills in practical laboratory techniques, data interpretation, critical analysis, computational skills allied to biochemistry, and scientific writing.
The main objectives of the Master studies of“Pharmaceutical and Cosmetic Products” are related to the formation of highly trained personnel for fine organic synthesis(designing and performing laboratory experiments, synthesis optimization,scientific data interpretation etc.) with emphasis on the study of chemicals related to pharmaceutical and cosmetic industries.
Economics degrees will teach you critical thinking, problem-solving, data interpretation, and more, which will prepare you for careers where analysis, forecasting, and statistics are paramount.
WOW is a complete package containing two sets of curricula, data from many lakes and rivers nationwide,extensive online primers, data interpretation and Geographic Information System Tools, and additional supporting materials.
Economics degrees will teach you critical thinking, problem-solving, data interpretation, and more, which will prepare you for careers where analysis, forecasting, and statistics are paramount.
Objectivity Strive to avoid bias in experimental design, data analysis, data interpretation, peer review, personnel decisions, grant writing, expert testimony, and other aspects of research where objectivity is expected or required.