Design & Interpretation of Clinical Trials by Johns Hopkins University. Garkaviy P.
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Pavel Garkavi successfully completed the Coursera course "Design and Interpretation of Clinical Trials" from Johns Hopkins University with distinction. The course covered basic principles of designing randomized clinical trials including terminology, common trial designs, randomization, masking, ethics, and analyzing results. It was taught by Dr. Janet Holbrook and Dr. Lea Drye from the Department of Epidemiology at the Johns Hopkins Bloomberg School of Public Health.
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This document discusses opportunities in the growing fintech sector. It notes that fintech is experiencing strong growth globally, driven by shifts to mobile banking and the rising millennial generation. New entrants in payments, lending, investments and other areas are achieving scale, while traditional banks and insurers are also increasingly investing in technology. The document argues this presents opportunities for strategic investors to capitalize on trends in digital payments, alternative lending, wealth management technologies, and more.Similar to Design & Interpretation of Clinical Trials by Johns Hopkins University. Garkaviy P. (20)
Regression Models_CSD
Regression Models_CSDCHANDRA SHEKHER DOOT
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Chandra Shekher Doot completed an online course through Coursera titled "Regression Models" offered by Johns Hopkins University. The course taught students how to fit and interpret regression models, investigate residuals and variability, and use techniques like dummy variables, multivariable adjustment, and extensions to generalized linear models including Poisson and logistic regression. The certificate was signed by Brian Caffo, Roger D. Peng, and Jeffrey Leek of Johns Hopkins Bloomberg School of Public Health and notes that the online course does not reflect the entire on-campus curriculum.Coursera regmods 2015
Coursera regmods 2015Harsheet Gandhi
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Harsheet Gandhi successfully completed an online course through Coursera titled "Regression Models" offered by Johns Hopkins University. The course taught students how to fit and interpret regression models, investigate residuals and variability, and use techniques like dummy variables, multivariable adjustment, and extensions to generalized linear models including Poisson and logistic regression. The certificate confirms completion of the online course but does not reflect the entire on-campus curriculum or confer a grade, credit, or degree from Johns Hopkins University.Coursera exdata 2015
Coursera exdata 2015Khan Safayet Hossin
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Khan Safayet Hossin completed an online Coursera course in Exploratory Data Analysis from Johns Hopkins University with distinction in June 2015. The course covered exploratory data summarization techniques and plotting in R for high-dimensional data visualization before modeling. It was taught by Roger D. Peng, Jeffrey Leek, and Brian Caffo of Johns Hopkins Bloomberg School of Public Health.Coursera regmods 2015
Coursera regmods 2015Isabelle Valette
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Isabelle Claire Valette successfully completed the Johns Hopkins University course "Regression Models" on Coursera with distinction. The course taught students how to fit and interpret regression models, investigate residuals and variability, and use techniques like dummy variables, multivariable adjustment, and extensions to Poisson and logistic regression. The course was offered online through Coursera and did not reflect the entire on-campus curriculum at Johns Hopkins University.Coursera statinference 2015
Coursera statinference 2015Isabelle Valette
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Isabelle Claire Valette successfully completed the Johns Hopkins University course "Statistical Inference" on Coursera with distinction on February 11, 2015. The course provided an overview of statistical inference goals, assumptions, and modes, and students who successfully completed the course developed skills to perform inferential tasks and apply them to more complex challenges. The statement does not reflect the entire university curriculum or confer a Johns Hopkins grade, credit, degree, or verify the student's identity.Coursera statinference 2015
Coursera statinference 2015Paul Phelps
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Paul Rosson Phelps successfully completed the Johns Hopkins University course "Statistical Inference" on Coursera with distinction on June 29, 2015. The course provided an overview of statistical inference goals, assumptions, and modes, and students who successfully completed the course demonstrated the ability to perform inferential tasks and apply skills to more complex challenges. The statement was signed by three professors from the Johns Hopkins Bloomberg School of Public Health.Coursera exdata 2015
Coursera exdata 2015Asela Dassanyake
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Asela Dassanayake successfully completed the Coursera course "Exploratory Data Analysis" from Johns Hopkins University with distinction on June 29, 2015. The course covered exploratory data summarization techniques and principles for constructing graphics that are applied before modeling to inform the development of complex models, including topics like plotting in R and common techniques for visualizing high-dimensional data. The course was led by Roger D. Peng, Jeffrey Leek, and Brian Caffo of the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.Coursera regmods 2015 Certificate
Coursera regmods 2015 CertificateMattia Manica
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Mattia Manica successfully completed the Coursera course "Regression Models" offered by Johns Hopkins University with distinction on January 08, 2015. The course taught students how to fit and interpret regression models, investigate residuals and variability, and use techniques like dummy variables, multivariable adjustment, and extensions to Poisson and logistic regression models. The course was overseen by Brian Caffo, Roger Peng, and Jeffrey Leek of Johns Hopkins Bloomberg School of Public Health.Certificate exploratory analysis
Certificate exploratory analysisIsabelle Valette
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Isabelle Claire Valette successfully completed the Coursera course "Exploratory Data Analysis" from Johns Hopkins University with distinction in December 2014. The course covered exploratory data summarization techniques and principles for constructing graphics applied before modeling, including plotting in R and common techniques for visualizing high-dimensional data. The course was overseen by Roger D. Peng, Jeffrey Leek, and Brian Caffo from Johns Hopkins Bloomberg School of Public Health.Coursera statinference 2015
Coursera statinference 2015Sanjay Bhatikar Ph.D., PMP
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Sanjay Bhatikar successfully completed the Coursera course Statistical Inference from Johns Hopkins University with distinction on May 11, 2015. The course provided an overview of statistical inference goals, assumptions, and modes, and students who successfully completed the course would be able to perform inferential tasks and apply skills to more complex problems. The certificate was signed by three professors from the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.Coursera exdata 2015
Coursera exdata 2015nilam88
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Nilam Shete successfully completed the Coursera course "Exploratory Data Analysis" from Johns Hopkins University with distinction on March 06, 2015. The course covered exploratory data summarization techniques and plotting in R for informing complex modeling. It addressed principles of graphic construction and common multivariate techniques for visualizing high-dimensional data. The course was led by Roger D. Peng, Jeffrey Leek, and Brian Caffo from Johns Hopkins Bloomberg School of Public Health.Bobby Ballescas - Certificate of Accomplishment
Bobby Ballescas - Certificate of AccomplishmentBobby Ballescas
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Bobby Ballescas completed an 8-week online course through Coursera titled "Statistical Reasoning for Public Health 1: Estimation, Inference, & Interpretation" offered by Johns Hopkins University. The course provided a conceptual overview of commonly used statistical methods in medical and public health research, covering topics like study design and methods for comparing populations based on sample data. The statement of accomplishment was signed by John McGready, PhD, MS from the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.Mathematical biostatistics boot camp 1
Mathematical biostatistics boot camp 1Yevgeniy Ivanchenko
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Yevgeniy Ivanchenko successfully completed the Coursera course Mathematical Biostatistics Boot Camp 1 with distinction. The course covered key mathematical and statistical topics to help students better understand biostatistics. Students who completed the course successfully gained a basic understanding of probability modeling in medical sciences, including the goals, assumptions, benefits and limitations. The course was offered through Johns Hopkins University's Bloomberg School of Public Health.ExploratoryDataAnalysis
ExploratoryDataAnalysisShivee Gupta
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Shivee Pradeep Gupta completed the Coursera course "Exploratory Data Analysis" from Johns Hopkins University with distinction in June 2015. The course covered exploratory data summarization techniques and plotting in R for developing complex models, including principles of graphics construction and common techniques for visualizing high-dimensional data. The course was overseen by professors Roger D. Peng, Jeffrey Leek, and Brian Caffo from Johns Hopkins Bloomberg School of Public Health.Coursera predmachlearn 2015
Coursera predmachlearn 2015Isabelle Valette
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Isabelle Claire Valette successfully completed the Coursera course Practical Machine Learning from Johns Hopkins University with distinction on April 04, 2015. The course taught students the components of machine learning algorithms and how to apply basic machine learning tools to build and evaluate predictors using real data. The course was instructed by Jeffrey Leek, Roger Peng, and Brian Caffo from the Johns Hopkins Bloomberg School of Public Health.Regression Models
Regression ModelsC看馨沿顎岳温稼岳壊I京珂喝京永
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Fit regression models, interpret coefficients, and investigate residuals and variability. Students also learn to use dummy variables, multi-variable adjustment, and extensions to generalized linear models, especially Poisson and logistic
regression.Practical Machine Learning_CSD
Practical Machine Learning_CSDCHANDRA SHEKHER DOOT
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Chandra Shekher Doot completed Coursera's Practical Machine Learning course offered by Johns Hopkins University on April 04, 2015. The course taught students about machine learning algorithms, tools, and how to apply them to build and evaluate predictors using real data. The certificate acknowledges completion of the online course but does not reflect the entire university curriculum or confer a Johns Hopkins grade, credit, or degree.Case based introduction to biostatistics
Case based introduction to biostatisticsYevgeniy Ivanchenko
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Yevgeniy Ivanchenko completed an online course in Case-Based Introduction to Biostatistics through Coursera.org offered by Johns Hopkins University. The course aimed to enhance students' quantitative scientific reasoning skills for addressing health problems through biostatistical ideas and approaches. The statement acknowledges Ivanchenko's completion but notes the online course did not reflect the full curriculum of students enrolled at Johns Hopkins University.Coursera clinicalpsych 2015
Coursera clinicalpsych 2015Robert Walton
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Robert Walton completed an online course from the University of Edinburgh titled "The Clinical Psychology of Children and Young People". The course covered basic principles of clinical psychology as applied to children and young people within societal and cultural contexts. It was signed by the head of clinical psychology at the University of Edinburgh and three other clinical psychology professors. The certificate notes that the online course does not reflect the full on-campus curriculum or confer a University of Edinburgh degree.Certificate reproducible research 2015
Certificate reproducible research 2015Isabelle Valette
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Isabelle Claire Valette successfully completed the Coursera course "Reproducible Research" offered by Johns Hopkins University with distinction. The course taught how to write documents using R markdown by integrating live R code, compile documents using knitr, and organize analyses to be reproducible. It was overseen by Roger D. Peng, Jeffrey Leek, and Brian Caffo of Johns Hopkins Bloomberg School of Public Health.More from Pavel Garkaviy (8)
Garkaviy_Eu2P_PV and Pharmaepidemiology_Intro to Quantitative Benefit-Risk An...
Garkaviy_Eu2P_PV and Pharmaepidemiology_Intro to Quantitative Benefit-Risk An...Pavel Garkaviy
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This document certifies that Pavlo Garkaviy passed a final exam on September 27, 2016 with a score of 86.67% and is being awarded a Certificate of Training Achievement in Pharmacovigilance and Pharmacoepidemiology Introduction to Quantitative Benefit-Risk Analyses Methods. The certificate is being issued in accordance with an agreement signed on February 11, 2010 between Pavlo Garkaviy and the European Programme of Pharmacovigilance and Pharmacoepidemiology consortium.Clinical Epidemiology Utrecht University
Clinical Epidemiology Utrecht UniversityPavel Garkaviy
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Pavlo Garkaviy received a course certificate from Utrecht University and Coursera for completing an online non-credit clinical epidemiology course. The certificate confirms Pavlo's identity and participation in the course, which was authorized by Utrecht University and offered through the online learning platform Coursera.The University of Northern Carolina at Chapel Hill Pavlo Garkaviy - Epidemiol...
The University of Northern Carolina at Chapel Hill Pavlo Garkaviy - Epidemiol...Pavel Garkaviy
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Pavlo Garkaviy has received a course certificate from The University of North Carolina at Chapel Hill for successfully completing the online non-credit course "Epidemiology: The Basic Science of Public Health" offered through Coursera. The certificate is signed by the course instructor, Research Assistant Professor Pavlo Garkaviy from the Department of Epidemiology at the University's Gillings School of Global Public Health, and Clinical Associate Professor and Director of Distance Learning and Online Graduate Certificate at the same department.Duke University Pavlo Garkaviy - Data Analysis and Statistical Inference_2015...
Duke University Pavlo Garkaviy - Data Analysis and Statistical Inference_2015...Pavel Garkaviy
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Pavlo Garkaviy successfully completed with distinction a 10-week online, non-credit course in Data Analysis and Statistical Inference offered through Coursera and authorized by Duke University. The course certificate, issued on November 27, 2015 and signed by the Assistant Professor of the Practice of Statistical Science at Duke University, verifies Pavlo Garkaviy's identity and participation in the course.Certificate of Completion_Data Analysis and Statistical Inference 2015_Data Camp
Certificate of Completion_Data Analysis and Statistical Inference 2015_Data CampPavel Garkaviy
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Pavel Garkaviy has completed a course in Data Analysis and Statistical Inference. He received a certificate with the id 4a9efd739c9c525484cbecb38388236788ce0a4f for completing this course. The certificate confirms Pavel Garkaviy's training in data analysis and statistical inference techniques.
Applied Project Management - P. Garkaviy
Applied Project Management - P. GarkaviyPavel Garkaviy
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Pavlo Garkaviy successfully completed a 4-day, 35-hour training programme in Applied Project Management. The training covered topics such as project history and AstraZeneca's project management framework, how to justify, initiate, organize, plan, execute, close, and realize benefits for projects. It provided instruction on strategic and operational planning, work breakdown structures, critical paths, risk analysis, communication, and leadership skills for managing projects. Upon completion, Pavlo received a certificate from the training organization wenell.com, dated June 8-11, 2015.Karolinska Certificate
Karolinska CertificatePavel Garkaviy
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This certificate verifies that Pavel Garkaviy successfully completed the online course "KIPractihx: Pragmatic Randomized Controlled Trials in Health Care" offered by KIx, an initiative of Karolinska Institutet through edX. The course covered pragmatic randomized controlled trials in healthcare. Professor Merrick Zwarenstein of Western University and Karolinska Institutet issued the certificate on April 28, 2015.Design & Interpretation of Clinical Trials by Johns Hopkins University. Garkaviy P.
- 1. coursera.org Statement of Accomplishment WITH DISTINCTION MAY 01, 2015 PAVEL GARKAVIY HAS SUCCESSFULLY COMPLETED THE JOHNS HOPKINS UNIVERSITY'S OFFERING OF Design and Interpretation of Clinical Trials This course? explains the basic principles for the design of randomized clinical trials and how they should be? reported. Students are introduced to terminology, common trial designs,? randomization, masking, ethics, and analysis of results??. JANET HOLBOOK, PHD, MPH DEPARTMENT OF EPIDEMIOLOGY BLOOMBERG SCHOOL OF PUBLIC HEALTH JOHNS HOPKINS UNIVERSITY LEA T. DRYE, PHD DEPARTMENT OF EPIDEMIOLOGY BLOOMBERG SCHOOL OF PUBLIC HEALTH JOHNS HOPKINS UNIVERSITY PLEASE NOTE: THE ONLINE OFFERING OF THIS CLASS DOES NOT REFLECT THE ENTIRE CURRICULUM OFFERED TO STUDENTS ENROLLED AT THE JOHNS HOPKINS UNIVERSITY. THIS STATEMENT DOES NOT AFFIRM THAT THIS STUDENT WAS ENROLLED AS A STUDENT AT THE JOHNS HOPKINS UNIVERSITY IN ANY WAY. IT DOES NOT CONFER A JOHNS HOPKINS UNIVERSITY GRADE; IT DOES NOT CONFER JOHNS HOPKINS UNIVERSITY CREDIT; IT DOES NOT CONFER A JOHNS HOPKINS UNIVERSITY DEGREE; AND IT DOES NOT VERIFY THE IDENTITY OF THE STUDENT.