Sentences with phrase «focus on data analysis»

Any degree that has a focus on data analysis and statistical evaluations will have a huge advantage that law students may have to develop themselves.

His main focus is providing team development strategies with a focus on data analysis, curriculum alignment, and strategic planning.

There can be an increased focus on data analysis of student performance, but, ultimately, teachers must produce the results (Stronge, 2011).

This initial planning will free up time for teachers to focus on data analysis and personalize the course for real - time adaptive adjustments based on students» learning path.

In addition to technology, many schools that focus on data analysis are seeing great benefits.

«s Vision to Reality Awards and Colin shares the company's innovation efforts around a new product focused on data analysis from hundreds of thousands of vehicles across the globe.

Geotab is also a finalist for PwC Canada «s Vision to Reality Awards and Colin shares the company's innovation efforts around a new product focused on data analysis from hundreds of thousands of vehicles across the globe.

Gayle has worked with Instructional Leadership Teams in many schools and districts throughout the country focusing on data analysis using both formative and summative assessment; and differentiating instruction based on readiness, learning profiles, and interests.

Not exact matches

By focusing on the various skills — everything from observation and data gathering to analysis and reflection — Newnham and his colleagues developed a framework for teachers to use in their science classes, beginning as early as kindergarten.

Part of the uproar over the Cambridge Analytica scandal has focused on the fact that the analysis firm was able to get data on so many millions of Facebook users even though only 270,000 actually installed the app that harvested the information.

Taught by Kevin Hartman, Head of Industry at Google, this free marketing course on «Digital Analytics» focuses on the specific data collection, analysis and visualization techniques used by the world's top brands.

Heavily focus the first month of your campaign on data analysis.

The second component, data analysis, focuses on answering a question.

One company focusing on that area is Tableau Software, which specializes in building tools that let people without background in specialized data analysis search for big data trends.

The analysis of the Task Force is based on 1992 tax data and focuses on the subset of the population that has: made C / QPP contributions that year; relies on earnings from employment and self - employment as its major source of income; is between ages 25 and 65; and has annual income between $ 20,000 and $ 80,000.

Orcadex is a business intelligence platform focused on the blockchain and cryptocurrency verticals, collecting data via machine learning and natural language processing to offer analysis and insights to customers.

«From our optics, if you define cyber as data collection, storage, security, analysis, threat intelligence, operations and dissemination, then the $ 1 trillion market forecast from Cybersecurity Ventures barely scratches the surface» says Jeremy King, President at Benchmark Executive Search, a boutique executive search firm focused on cyber, national, and corporate security.

The decision to focus on Michigan and Wisconsin in the final weeks of the campaign was made on the basis of data analysis.

«Not only did Millennial Branding help us decide on which areas to focus our data analysis, they also were able to add a level of additional insight as to the «whys» behind what the PayScale data revealed.

Other ETF analyses only focus on comparing backward - looking and widely - available data, offering little assistance to the forward - looking portfolio construction process.

For sector analysis — the area that Brad focuses on — determining trends means incorporating macro-economic data points and other factors that might impact a particular industry.

In trying to provide investors with information that «is not in the current stock price» and therefore giving them an «edge», many Wall Street, and independent investment research providers have begun focusing on such areas as «forensic» accounting, «channel checking», public policy analysis, «lie detection» on conference calls, data mining and «expert» networking.

Instead, you minimize risk by focusing on a data - and audience - analysis driven site launch or re-design intending to make changes based on your ongoing analysis of visitors» needs and your lead conversions.

In addition to efficient process control as well as functions and algorithms for the intelligent filtering and analysis of data, the focus is also on apps and IT platforms in particular.

Although data were gathered at 4 points, in part to ensure subject contact was maintained to the best of our ability, our analysis reports 12 - week data because our focus was on duration.

Based on data derived from the most recent NARM job analysis, midwife members who self - identified as «of color» will be invited to participate in focus groups to explore facilitators and barriers that they have experienced with respect to access to midwifery education, and as practitioners.

We differentiated between computational approaches (either based on volume data, such as the number of mentions related to a party or candidate or the occurrence of particular hashtags; or endorsement data, such as the number of Twitter followers, Facebook friends or the number of «likes» received on Facebook walls), sentiment analysis approaches, that pay attention to the language and try to attach a qualitative meaning to the comments (posts, tweets) published by social media users employing automated tools for sentiment analysis (i.e., via natural language processing models or the employment of pre-defined ontological dictionaries), and finally what we call supervised and aggregated sentiment analysis (SASA), that is, techniques that exploit the human codification in their process and focus on the estimation of the aggregated distribution of the opinions, rather than on individual classification of each single text (Ceron et al. 2016).

One of the analyses that Erlich and his team performed using the data focuses on the heritability of longer lifespans.

To accurately test the hypothesis of a lower risk of recurrence with HRT, a new study led by investigators at Brigham and Women's Hospital published in European Urology Focus, performed a systematic review and meta - analysis, pooling available data, to assess whether an improved risk of recurrence could be demonstrated using HRT compared with CRT, in addition to assessing the relative impact of these two treatments on bladder and rectal function.

The new analysis, based on data assembled primarily by graduate student Yan - Jie Feng at Sun Yat - Sen University in Guangzhou, China, focused on the sequences of 95 genes located on chromosomes in the nucleus and how they changed over time.

The bulk of the training focuses on experimental design and data analysis.

The findings are based on data collected through various methods including behavioural experiments with children in two countries (The Netherlands and Spain); focus groups with children and with parents in eight countries (UK, Spain, Italy, France, Poland, The Netherlands, Germany and Sweden); a survey with parents in the same eight countries; an in - depth analysis of the most popular games in the main online platforms; a literature review, and a regulatory review covering the 28 EU Member States, Norway and Iceland.

The researchers suggest, based on their analysis of the data, that screening compliance could be increased by focusing educational and outreach efforts on certain groups who were less likely to get their infants screened for congenital CMV: less educated mothers, babies not born in a hospital and infants who received hearing tests later than 14 days after birth.

Analyses focused on data collected from high school seniors (weighted N = 10,597) in years 2007 - 2011 (2011 was the last year recreational marijuana use was still illegal in all US states).

The nine guidelines are focused around three areas: a commitment to science - based communications (increasing access to scientific data and analyses), providing appropriate context about data (ensuring health professionals are informed about emerging data on the safety and effectiveness of treatments) and accurately representing data (communications should be clearly communicated and incorporated into the existing knowledge of the intended audience).

Recognizing the reality that genomics analysis is a big data / HPC (High Performance Computing) problem in a field where life scientists are focused on the biology and not computer science, Intel has been reshaping genomics software tools and cluster configurations for life sciences in the many - core era with Intel Scalable System Framework (includes many - core processors, new 3D memory, high - performance networking fabric, and Lustre storage).

His group in Mainz is focused primarily on the analysis of data from the XENON Experiment as well as the development of simulations and novel, innovative detector technologyies.

At Emory, the labs of Stephen Traynelis and Hongjie Yuan have published an analysis of ExAC data, focusing on the genes encoding two NMDA receptor subunits, GRIN2A and GRIN2B.

However, prevailing GWA data analysis methods are focusing on the association of individual SNP alleles with a complex disease, although multiple alleles are involved by definition.

The instructors will focus on a broad spectrum of flow cytometric topics, discuss examples from various research applications, provide technical protocols for flow cytometric sample preparation, as well as data analysis, trouble shooting and experimental design.

Data analyses can be focused on individual biomarkers, single metabolic pathways, or a comprehensive metabolic profile.

Our work combines computational analysis of high - throughput sequencing data, population genetics, and experimental work.We focus in particular on studying genetic effects on the transcriptome traits, which has further applications in other traits at the cellular and individual level.

The job will entail working on a team of 20 software engineers on next - gen sequence analysis pipelines, focusing on utilizing the information management capabilities of the analysis system to migrate data appropriately between different tiers of storage and eliminate data duplication.

His research interests include the effects of surface geology on seismic motion, strong - motion data analysis, source parameters, application of signal processing with focus on borehole data, early warning systems and multihazard and multirisk assessment.

As a member of the Numerical Algorithms group, he develops new methods for analysis of biological data, with particular focus on cryo - electron microscopy.

He has also been leading statistical data analysis for the Broad Institute's Proteome Characterization Center and Proteogenomic Data Analysis Center established under the National Cancer Institute Clinical Proteomics Tumor Analysis Consortium (CPTAC), focusing on proteogenomic analysis of proteomic, phosphoproteomic, and genomic data derived from cancer sampdata analysis for the Broad Institute's Proteome Characterization Center and Proteogenomic Data Analysis Center established under the National Cancer Institute Clinical Proteomics Tumor Analysis Consortium (CPTAC), focusing on proteogenomic analysis of proteomic, phosphoproteomic, and genomic data derived from cancer analysis for the Broad Institute's Proteome Characterization Center and Proteogenomic Data Analysis Center established under the National Cancer Institute Clinical Proteomics Tumor Analysis Consortium (CPTAC), focusing on proteogenomic analysis of proteomic, phosphoproteomic, and genomic data derived from cancer sampData Analysis Center established under the National Cancer Institute Clinical Proteomics Tumor Analysis Consortium (CPTAC), focusing on proteogenomic analysis of proteomic, phosphoproteomic, and genomic data derived from cancer Analysis Center established under the National Cancer Institute Clinical Proteomics Tumor Analysis Consortium (CPTAC), focusing on proteogenomic analysis of proteomic, phosphoproteomic, and genomic data derived from cancer Analysis Consortium (CPTAC), focusing on proteogenomic analysis of proteomic, phosphoproteomic, and genomic data derived from cancer analysis of proteomic, phosphoproteomic, and genomic data derived from cancer sampdata derived from cancer samples.

His recent research has focused on the design and implementation of innovative algorithms to enable proteogenomic data analysis, pattern - based discovery of proteomic biomarker candidates, evaluation of data quality, assessment of variability and reproducibility in mass spectrometry based assays, and data visualization.

In order to focus on these problematics, state - of - the - art lectures on innovative sampling methods and data analysis pipelines will be presented.

His work focuses on the application of computational methods to the analysis of proteomics data, ranging from proteogenomics and biomarker discovery to the targeted measurement and quantification of specific proteins.

She mainly focused on high - throughput sequencing data analysis using computational approaches.