Examples of using Statistical knowledge in English and their translations into Hungarian
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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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Programming
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Official/political
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Computer
Strong Statistical knowledge.
Have strong methodological and statistical knowledge;
Applying statistical knowledge and research methods.
Strong mathematical and statistical knowledge.
(h) upgrade the professional statistical knowledge and skills of Commission staff working in the field of Community statistics.
A proficiency at interpreting and using numerical and statistical knowledge.
Has basic statistical knowledge.
Conducting comparative economic analyses relying on the basic economic and statistical knowledge and world economic theories learnt.
Gain the deep statistical knowledge and technical savviness you need to advance to data scientist, engineer and analyst roles.
With the help of the statistical data, we gain statistical knowledge about how our Facebook page is used.
This online course provides the deep statistical knowledge and technical skills you need to become a data scientist, engineer, and analyst in just 18 months.
Enroll in the Master of Computer Science in Data Science(MCS-DS)and gain access to the computational and statistical knowledge needed to turn big data into meaningful insights.
George Mason University Online Gain the deep statistical knowledge and technical savviness you need to advance to data scientist, engineer and analyst roles.
You are trained to get an in-depth focus on the methodological and statistical knowledge and skills essential for scientific research;
This online degree provides the deep statistical knowledge and technical savviness you need to step into data scientist, engineer and analyst roles in just 18 months.
As a result,the role can require a great deal of statistical knowledge, computer skills, and a solid understanding of economics.
The online master's in DataAnalytics Engineering degree provides the deep statistical knowledge and technical savviness you need to step into a data scientist, engineer or analyst role in just 18 months.
Master of Science in Data AnalyticsEngineeringThis online degree provides the deep statistical knowledge and technical savviness you need to step into data scientist, engineer and analyst roles in just 18 months.
Enjoy using your quantitative skills to solve practical problems Are interested in using computer technology to analyze data to solve problems in a wide variety of fieldsWant to learn how to apply mathematical and statistical knowledge to social, economic, medical, political, or ecological problems Like to work individually and/ or as part of an interdisciplinary team to solve problems and communicate your results to others Are interested in advancing the frontiers of statistics and probability through education and research Why Statistics?
Knowledge of statistical techniques(such as 6-Sigma).
Basic knowledge of R statistical software.
Knowledge of Statistical Physics and/or stochastic processes would be advantageous.
Knowledge of statistical physics is expected, as well as basic programming skills.
Some knowledge of statistical methodologies in estimating uncertainties would be advantageous but training will be given by the supervisory team.
Wherever the application of logical thinking and statistical or strategic knowledge is called for, being one of our graduates will give you a head start.
Ability to analyze key events of different historicalperiods of world politics as well as knowledge of core statistical data;
On the other hand, in almost all the universities of the worldoffer degrees that include in their training plan knowledge of statistical techniques and optimization;
Organization, discipline, planning, calculation and statistical area, good knowledge of finance and accounting, entrepreneurship, creativity, flexibility, leadership skills and taste for teamwork.
Few people know that in experimental psychology the at least basic knowledge of computer programming andsolid statistical and methodological knowledge are essential requirements beyond the user knowledge. .