Like Us Thesis editor The role of statistics and research methods in the academic success of psychology majors: Do performance and enrollment timing matter?
These services are available to anybody conducting clinical experiments and randomized clinical trials. These materials are free and can be found herethe webinars are also available on OSF's YouTube channel. Courses on Statistics edX Course: Principles, Statistical and Computational Tools for Reproducible Science Learn skills and tools that support data science and reproducible research to ensure you can trust your research results, reproduce them yourself, and communicate them to others.
This free course covers fundamentals of reproducible science, case studies, data provenance, statistical methods for reproducible science, computational tools for reproducible science, and reproducible reporting science.
These concepts are intended to translate to fields throughout the data sciences: Consider this course a survey of best practices that will help you create an environment in which you can easily carry out reproducible research and integrate with similar situations for your collaborators and colleagues.
We currently have four active MOOC programs that you can enroll in at any time. Join over 8 million other students in taking a course produced by the Johns Hopkins Data Science Lab!
A series of 7 classes that teach R and statistics for health sciences applications, with a particular focus on genomic technologies.
The classes were built by Rafael Irizarry and Mike Love. You can find and sign up for all the classes on their web site. Genomic Data Science Specialization on Coursera: A 7 course sequence focused on teaching tools for analyzing genomic data.
You can find and sign up for all the classes on Coursera.DATA COLLECTION: THE BASIS FOR ALL NURSING INTERVENTIONS. Margot Phaneuf R.N., Ph.D. Introduction. The collection of data is a professional nursing act forming the basis for all caregiving.
Every element of nursing care flows from it.
It is considered to be at the core of quality health care and serves initially to determine the required treatment. Click on a course to see details about the course on top and compare it to others.
Discuss the fundamentals of sampling. Identify ways to obtain representative quality data for research. Quantitative Research Methodologies and Data Analysis. Evaluate the types of descriptive research designs. Describe the types of research designs that can determine cause-and-effect relationships. Discuss the use of descriptive statistics in research. Featuring a conversational, engaging, and student-friendly writing style, The Process of Social Research, Second Edition, introduces students to the fundamentals of research. It places a unique emphasis on process with flowcharts in every chapter that provide step-by-step guides for conducting social research and evaluating the research of others. Countries exceeded lending inflows, according to International Debt Statistics focused on improving policy through data collection and innovative survey methods. Objective of the two-term sequence in research methodology and statistics is for.
This Course List is meant to provide students with general . An Assistant Administrative Analyst assists in conducting research; surveys; and studies of work flow and simplification, methods and procedures, and staff organization. Graphic and tabular presentation of data Fundamentals of data processing Basic record keeping methods Modern office methods and procedures statistics, resear ch.
Metis offers data science training via week full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs in various US cities. Managerial accounting is designed to introduce the fundamentals of managerial accounting to both accounting and non-accounting majors.
It covers accounting and management decision making in both short-term and long-term strategic situations. Agricultural Education. AGRI Interdisciplinary Agricultural Science and Technology. This course is designed to develop competencies of agricultural science teachers to teach essential elements in agricultural business, agricultural mechanization, animal science, and horticulture and crop science.