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The phrase "skills in data analysis" is grammatically correct and can be used in written English
It refers to someone's abilities or proficiency in the field of analyzing data. Example: "The job description explicitly stated that the candidate must possess strong skills in data analysis, as it was a crucial aspect of the role."
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Competencies include skills in data analysis, interpretation, synthesis, and presentation, and the development of data-informed programmatic recommendations.
The most important challenges at work identified by the alumni were insufficient skills in: data analysis, decision making, inter-sectoral cooperation development, English language and training.
In addition to teaching concepts of gene expression and regulation in response to changes in environmental conditions, this laboratory series aimed to increase student skills in data analysis.
Students reported perceived learning gains higher or comparable with learning gains reported by all CURE participants in all 21 categories, with the largest gains in categories related to understanding the scientific process and skills in data analysis (Table 5).
Incorporating RNA-seq analysis in a biology curriculum provides unique opportunities to involve students in real biological research, improving students' skills in data analysis, data visualization, and science communication.
According to Head, three enabling factors underpin evidence-based policy: " high-quality information based on relevant topic areas, cohorts of professionals with skills in data analysis and policy evaluation, and political incentives for utilising evidence-based analysis and advice in governmental decision-making processes" [ 27].
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As measured by the Survey of Undergraduate Research Experiences and the CURE survey, authentic undergraduate research experiences provide significantly higher gains in data analysis skills, as well as in many other areas, including knowledge and understanding of science and the research process, problem solving, communication skills, and critical thinking (Lopatto et al., 2008, 2014).
This is not new, but in light of the increased demand for analytical skills, even the best training and experiences in data analysis can only get the epidemiologist to a certain point.
Our objective assessment data (relevant questions in the test and the quality of figures and data interpretation in the students' reports) and subjective assessment data (the CURE survey) suggest that engaging in the RNA-seq analysis laboratory experience led to learning gains in data analysis and interpretation skills.
Also, the latter will gain experience in research and acquire specific skills in qualitative data analysis because they will be trained by researchers in data analysis and will be involved in that process.
The students had no experience base enough in ICCN and therefore in data analysis only three bases of four were analysed knowledge, skill, and attitude and value bases.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com