Quantitative research
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The concept Quantitative research represents the subject, aboutness, idea or notion of resources found in University of Missouri Libraries.
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Quantitative research
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The concept Quantitative research represents the subject, aboutness, idea or notion of resources found in University of Missouri Libraries.
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- Quantitative research
103 Items that share the Concept Quantitative research
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- A data-driven approach to customer relationships : a case study of Nedbank's data practices in South Africa
- Advanced Splunk : master the art of getting the maximum out of your machine data using Splunk
- Advanced statistics and data mining for data science
- An introduction to machine learning models in production : how to transition from one-off models to reproducible pipelines
- Analyzing data in the Internet of Things : a collection of talks from Strata + Hadoop World 2015
- Analyzing qualitative data : systematic approaches
- Analyzing quantitative data : an introduction for social researchers
- Applied Data Science Workshop - Second Edition
- Applying quantitative methods to e-book collections
- Avoiding data pitfalls : how to steer clear of common blunders when working with data and presenting analysis and visualizations
- BI & Analytics in der Cloud : Architektur, Vorgehen und Praxis
- Basic statistics and data mining for data science
- Become a Python data analyst
- Become a Python data analyst : perform exploratory data analysis and gain insight into scientific computing using Python
- Beginning data science in R : data analysis, visualization, and modelling for the data scientist
- Beginning interpretative inquiry : a step-by-step approach to research and evaluation
- Best practices in data cleaning : a complete guide to everything you need to do before and after collecting your data
- Challenging the qualitative-quantitative divide : explorations in case-focused causal analysis
- Data Analysis and Applications 1
- Data Analysis and Applications 2
- Data Analysis in the Cloud : Models, Techniques and Applications
- Data analysis and applications 3 : computational, classification, financial, statistical and stochastic methods
- Data analysis in business research : a step-by-step nonparametric approach
- Data analytics and machine learning fundamentals : LiveLessons
- Data collection
- Data science and big data analytics : discovering, analyzing, visualizing and presenting data
- Data science and big data analytics in smart environments
- Data science with Python : unleash the power of Python and its robust data science capabilities : a course in four modules
- Data-driven analytics for the geological storage of CO2
- Data-driven public relations research : 21st century practices and applications
- Datenvisualisierung - Grundlagen und Praxis : wie Sie aussagekräftige Diagramme und Grafiken gestalten
- Deep learning for health tech : neural network applications in healthcare using Python and TensorFlow
- Designing quantitative experiments : prediction analysis
- Determination of alkalies in Portland cement by the dropping mercury electrode method
- Econometrics and data science : apply data science techniques to model complex problems and implement solutions for economic problems
- Educational research : the interrelationship of questions, sampling, design, and analysis
- Educational research and inquiry : qualitative and quantitative approaches
- Essentials of applied quantitative methods for health services managers
- Ethics and data science
- Finding profit in your organization's data : three examples from the frontlines of IoT
- Foundations of data science
- Handbook of quantitative methods for educational research
- Handbook of research methods and applications in empirical finance
- Handbook of research methods in tourism : quantitative and qualitative approaches
- How do I choose the correct predictive model for my organizational questions?
- How to be a quantitative ecologist : the 'A to R' of green mathematics and statistics
- How to use your data science team : becoming a data-driven organization
- Improving analytics capabilities through crowdsourcing : Syngenta developed an award-winning suite of analytics tools by tapping into expertise outside the organization, including talent available through open-innovation platforms
- Improving the user experience through practical data analytics : gain meaningful insight and increase your bottom line
- Interpretable predictive models in the healthcare domain
- Introduction to data analytics with KNIME : a data science approach to analytics
- Learning Bayesian models with R : become an expert in Bayesian machine learning methods using R and apply them to solve real-world big data problems
- Linear methods for optimization and prediction in healthcare : make causal inferences in health data using R and Python
- Literate statistical programming is not just about reproducibility
- Machine learning in production : developing and optimizing data science workflows and applications
- Making predictions with data and Python
- Managing the data lake : moving to big data analysis
- Mastering Spark for structured streaming : building end-to-end structured streaming applications with Spark 2.0
- Mastering pandas : a complete guide to pandas, from installation to advanced data analysis techniques
- Mastering pandas for finance : master pandas, an open source Python data analysis library, for financial data analysis
- Methods matter : improving causal inference in educational and social science research
- Mining social media : finding stories in Internet data
- Mixed method design : principles and procedures
- Mixed methods research for nursing and the health sciences
- Model identification and data analysis
- Now you see it : simple visualization techniques for quantitative analysis
- Precipitation modeling and quantitative analysis
- Python : data analytics and visualization : understand, evaluate, visualize data
- Python : end-to-end data analysis : leverage the power of Python to clean, scrape, analyze, and visualize your data : a course in three modules
- Quantified storytelling : a narrative analysis of metrics on social media
- Quantifying approaches to discourse for social scientists
- Quantitative analysis in archaeology
- Quantitative data analysis using SPSS : an introduction for health & social science
- Quantitative geography : the basics
- Quantitative intelligence analysis : applied analytic models, simulations, and games
- Quantitative research for the qualitative researcher
- Quantitative research for the qualitative researcher
- Quantitative research in education : a primer
- Quantitative research methods in communication : the power of numbers for social justice
- Quantitative social science
- Quantitative techniques : theory and problems
- Quantitative value : a practitioner's guide to automating intelligent investment and eliminating behavioral errors + website
- R : predictive analysis : master the art of predictive modeling
- Raising the bar with analytics
- Reporting, predictive analytics, and everything in between : a guide to selecting the right analytics for you
- Research assessment in the humanities : towards criteria and procedures
- Selecting the right analyses for your data : quantitative, qualitative, and mixed methods
- Seven rules for social research
- Strategic analytics
- Teaching quantitative methods : getting the basics right
- The analytical marketer : how to transform your marketing organization
- The fitness of information : quantitative assessments of critical evidence
- The underground culinary tour : how the new metrics of today's top restaurants are transforming how America eats
- The unsupervised learning workshop : get started with unsupervised learning and simplify unorganized data to make predictions
- This is service design methods : a companion to this is Service design doing
- Understanding Azure Data Factory : operationalizing big data and advanced analytics solutions
- Understanding anomaly detection: : an exploration of anomaly detection's history, applications, and state-of-the-art techniques
- Unsupervised learning for exploration and classification of health data : advanced analysis using Python and R
- Using quantitative data to answer critical questions
- Valuing businesses using regression analysis : a quantitative approach to the guideline company transaction method
- Wet-bulb--globe temperature data report
- Who's bigger? : where historical figures really rank
- Why your company needs data translators : In many organizations, there remains a consistent disconnect between data scientists and the executive decision makers they support. That’s why it’s time for a new role: the data translator
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/gRwwPsP1jvc/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/gRwwPsP1jvc/">Quantitative research</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
