Mathematical biostatistics boot camp 1
1 like552 views
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.
1 of 1
Download to read offline
Recommended
Coursera biostats 2015
Coursera biostats 2015Sivarat Malapet
Ìý
Sivarat Malapet has successfully completed the Johns Hopkins University online course "Mathematical Biostatistics Boot Camp 1" on April 23, 2014. This course covered key mathematical and statistical topics to help students better understand biostatistics. Successful students gained a basic understanding of the goals, assumptions, benefits and limitations of probability modeling in medical sciences. The certificate was signed by Brian Caffo of the Johns Hopkins Bloomberg School of Public Health Department of Biostatistics.Coursera biostats 2014
Coursera biostats 2014Sayan Datta
Ìý
Sayan Datta successfully completed the Mathematical Biostatistics Boot Camp 1 course from Johns Hopkins University on Coursera with distinction on April 23, 2014. The course covered key mathematical and statistical topics to help students better understand biostatistics. Successful students gained a basic understanding of probability modeling in medical sciences, including its goals, assumptions, benefits and limitations. The certificate was signed by Brian Caffo, PhD, MS from the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.Coursera statinference 2015
Coursera statinference 2015Sanjay Bhatikar Ph.D., PMP
Ìý
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.Case based introduction to biostatistics
Case based introduction to biostatisticsYevgeniy Ivanchenko
Ìý
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 biostats 2015 Cartificate
Coursera biostats 2015 CartificateMattia Manica
Ìý
Mattia Manica successfully completed the Coursera course Mathematical Biostatistics Boot Camp 1 from Johns Hopkins University with distinction in January 2015. The course covered key mathematical and statistical topics to help students better understand biostatistics. Successful students gained a basic understanding of the goals, assumptions, benefits and negatives of probability modeling in medical sciences. The certificate was signed by Brian Caffo, PhD, MS from the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.Coursera statinference 2015
Coursera statinference 2015Paul Phelps
Ìý
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.Bobby Ballescas - Certificate of Accomplishment
Bobby Ballescas - Certificate of AccomplishmentBobby Ballescas
Ìý
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.Statistical_Inference_100_perCent
Statistical_Inference_100_perCent✪C´Ç³¾±è³Ü³Ù²¹²Ô³Ù²õ✪Iµþ²Ñ³åµþ±Ê
Ìý
Broad overview of the goals, assumptions, and modes of statistical inference. Can perform inferential tasks in highly targeted settings and are able to use the skills developed for more complex inferential challenges.Statement of Accomplishment: Data Analysis
Statement of Accomplishment: Data AnalysisFolco Bombardieri
Ìý
Statement of Accomplishment for the "Data Analysis" Course from Coursera (offered by Johns Hopkins University)
Duration: 8 weeks
This course is an applied statistics course focusing on data analysis. The course will begin with an overview of how to organize, perform, and write-up data analyses. Then we will cover some of the most popular and widely used statistical methods like linear regression, principal components analysis, cross-validation, and p-values. Instead of focusing on mathematical details, the lectures will be designed to help you apply these techniques to real data using the R statistical programming language, interpret the results, and diagnose potential problems in your analysis. You will also have the opportunity to critique and assist your fellow classmates with their data analyses.Coursera diabetes 2015
Coursera diabetes 2015Ehsaun Hamediseresht
Ìý
This document is a Statement of Accomplishment from Coursera.org stating that Ehsaun Hamediseresh successfully completed an online course on Diabetes - a Global Challenge offered by the University of Copenhagen on July 02, 2015. The course provided cutting-edge diabetes research including biological, genetic, clinical, prevention, treatment, and epidemiology aspects. It was overseen by Professor Jens Juul Holst and Assistant Professor Signe Torekov of the University of Copenhagen.Coursera statreasoning 2015
Coursera statreasoning 2015Ikechukwu Ukeje (BTECH, MPH)
Ìý
Ikechukwu Ukeje successfully completed an 8-week online course on statistical reasoning for public health through Coursera. The course covered estimation, inference, and interpretation and was authorized by Johns Hopkins University's Department of Biostatistics. Coursera verified Ukeje's identity and participation in the course, although the certificate does not confer academic credit or official university status.Certificate_InferenceStats
Certificate_InferenceStatsShekhar Pandey
Ìý
An online certificate from Coursera confirms that Shekhar Pandey successfully completed a non-credit course in Statistical Inference authorized by Johns Hopkins University. The course was offered through Coursera and was taught by Jeff Leek, Roger Peng, and Brian Caffo of the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. The certificate can be verified on the Coursera website.vaccine
vaccineShuja Tahir
Ìý
Shuja Tahir completed an online course through Coursera titled "Vaccine Trials: Methods and Best Practices" offered by Johns Hopkins University. The course explored the process of evaluating investigational vaccines in clinical trials, including informed consent, recruitment, enrollment, safety evaluation, and quality data collection. The statement of accomplishment does not reflect the entire curriculum offered to students enrolled at Johns Hopkins University.Coursera NPBWRUG63YUX
Coursera NPBWRUG63YUXShan Dutt
Ìý
Santanu Dutta successfully completed the online non-credit course "Statistical Inference" offered through Coursera and authorized by Johns Hopkins University. The course certificate, signed by three professors from the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health, verifies that Santanu Dutta completed the course on May 24, 2016 and Coursera confirmed his identity and participation.Coursera 8EGQLS8ERV86
Coursera 8EGQLS8ERV86Nitish Bhushan
Ìý
An online learner named Nitish Bhushan received a course certificate from Johns Hopkins University for successfully completing an online non-credit course in R Programming offered through Coursera. The certificate was issued on 10/15/2016 and authorized by three professors from the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.STEP-UP Flyer 2016
STEP-UP Flyer 2016Gail Matters
Ìý
The STEP-UP program provides a 10-week summer research internship for under-represented college students, including a $4,500 stipend and travel expenses to present findings at an NIH symposium. Eligible students must be US citizens or legal residents studying a STEM field with a 3.0 GPA or higher who come from under-represented racial, ethnic groups, have a disability, or disadvantaged background. The internship experience involves biomedical research in diabetes, digestive, or kidney disease areas.COVID-19 Training for Healthcare Workers
COVID-19 Training for Healthcare WorkersNemeshWeerawarna
Ìý
Nemesh Heshan Weerawarna has successfully completed an online COVID-19 training course for healthcare workers offered through Coursera and authorized by Stanford University. The course was taught by SV Mahadevan and Matthew Strehlow. While some online courses may relate to on-campus courses, this online course does not confer a Stanford grade, credit, or degree, and only verifies the participant's identity and participation, not enrollment as a Stanford student.Coursera HRHL5RH3AXJ2
Coursera HRHL5RH3AXJ2Cole Frankel
Ìý
Cole G Frankel completed an online R Programming course through Coursera authorized by Johns Hopkins University. The course was non-credit bearing but offered a certificate signed by three professors from the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health. Coursera verified Frankel's identity and participation in the course.Coursera rprog 2016
Coursera rprog 2016Sudheer Jaisawal
Ìý
Sudheer Jaisawal completed a 4-week online R Programming course through Coursera authorized by Johns Hopkins University. The course certificate, dated 12/02/2015, confirms Sudheer successfully finished the course taught by Jeff Leek, Roger Peng, and Brian Caffo of Johns Hopkins Bloomberg School of Public Health's Department of Biostatistics. While Coursera verified Sudheer's identity and participation, the certificate does not confer academic credit or official university status.Practical machine learning
Practical machine learningDan Kjeldstrøm Hansen
Ìý
Dan Kjeldstrøm Hansen successfully completed the online Coursera course "Practical Machine Learning", authorized by Johns Hopkins University and offered through Coursera. The certificate confirms Dan's identity and participation in the course, taught by Jeff Leek, Roger Peng, and Brian Caffo of the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. The certificate does not confer academic credit or official university status.Mathematical Biostatistics Bootcamp
Mathematical Biostatistics BootcampBryan Balajadia
Ìý
Bryan Balajadia successfully completed the Coursera course Mathematical Biostatistics Boot Camp from Johns Hopkins University with distinction in June 2013. The course covered key mathematical and statistical topics to help students better understand biostatistics. Students learned about the goals, assumptions, benefits and limitations of probability modeling in medical sciences.Statement of Accomplishment: Data Science Specialization VI - Statistical Inf...
Statement of Accomplishment: Data Science Specialization VI - Statistical Inf...Folco Bombardieri
Ìý
Statement of Accomplishment for the "Statistical Inference" Course from Coursera - 6th Course of the Data Science Specialization series (offered by Johns Hopkins University)
Duration: 4 weeks
Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference. A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance. This course presents the fundamentals of inference in a practical approach for getting things done. After taking this course, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data.Statistical Inference
Statistical Inferencestefanzvonar
Ìý
Stefan Zvonar successfully completed the Coursera course Statistical Inference from Johns Hopkins University with distinction on July 08, 2014. 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 problems. The statement was signed by Brian Caffo, Jeffrey Leek, and Roger Peng from Johns Hopkins Bloomberg School of Public Health.Coursera statinference 2015
Coursera statinference 2015Isabelle Valette
Ìý
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 2015Prahlad Modi
Ìý
Prahlad Modi successfully completed the Coursera course Statistical Inference offered by Johns Hopkins University on June 18, 2014. The course provided an overview of statistical inference goals, assumptions, and modes, enabling students to perform inferential tasks and use the skills for more complex analysis. The statement was signed by Brian Caffo, Roger Peng, and Jeffrey Leek of Johns Hopkins Bloomberg School of Public Health.Coursera Statement (Data Analysis, Mar 2013)
Coursera Statement (Data Analysis, Mar 2013)Jo-fai Chow
Ìý
Jo-Fai Chow successfully completed the Coursera course "Data Analysis" from Johns Hopkins University with distinction. The course teaches effective data analysis methods to solve problems and gain insight. The certificate was issued by Jeffrey Leek, Assistant Professor of Biostatistics at Johns Hopkins Bloomberg School of Public Health.Certificate - Data Analysis
Certificate - Data AnalysisFeng Guo
Ìý
Feng Guo successfully completed the Coursera course "Data Analysis" offered by Johns Hopkins University with distinction. The course taught effective data analysis methods for solving problems and gaining insight. It was led by Jeffrey Leek, Assistant Professor of Biostatistics at Johns Hopkins Bloomberg School of Public Health. The statement does not confer academic credit from Johns Hopkins University.get_certificate
get_certificateSara Bassiouny
Ìý
Sara Bassiouny completed the Coursera course "Design and Interpretation of Clinical Trials" from Johns Hopkins University with distinction. The course taught the basic principles of designing randomized clinical trials, including terminology, common trial designs, randomization, masking, ethics, and analyzing results. It was taught by Janet Holbrook and Lea Drye from the Department of Epidemiology at the Johns Hopkins Bloomberg School of Public Health.Coursera regmods 2015 Certificate
Coursera regmods 2015 CertificateMattia Manica
Ìý
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.Coursera regmods 2015
Coursera regmods 2015Harsheet Gandhi
Ìý
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.More Related Content
What's hot (12)
Statement of Accomplishment: Data Analysis
Statement of Accomplishment: Data AnalysisFolco Bombardieri
Ìý
Statement of Accomplishment for the "Data Analysis" Course from Coursera (offered by Johns Hopkins University)
Duration: 8 weeks
This course is an applied statistics course focusing on data analysis. The course will begin with an overview of how to organize, perform, and write-up data analyses. Then we will cover some of the most popular and widely used statistical methods like linear regression, principal components analysis, cross-validation, and p-values. Instead of focusing on mathematical details, the lectures will be designed to help you apply these techniques to real data using the R statistical programming language, interpret the results, and diagnose potential problems in your analysis. You will also have the opportunity to critique and assist your fellow classmates with their data analyses.Coursera diabetes 2015
Coursera diabetes 2015Ehsaun Hamediseresht
Ìý
This document is a Statement of Accomplishment from Coursera.org stating that Ehsaun Hamediseresh successfully completed an online course on Diabetes - a Global Challenge offered by the University of Copenhagen on July 02, 2015. The course provided cutting-edge diabetes research including biological, genetic, clinical, prevention, treatment, and epidemiology aspects. It was overseen by Professor Jens Juul Holst and Assistant Professor Signe Torekov of the University of Copenhagen.Coursera statreasoning 2015
Coursera statreasoning 2015Ikechukwu Ukeje (BTECH, MPH)
Ìý
Ikechukwu Ukeje successfully completed an 8-week online course on statistical reasoning for public health through Coursera. The course covered estimation, inference, and interpretation and was authorized by Johns Hopkins University's Department of Biostatistics. Coursera verified Ukeje's identity and participation in the course, although the certificate does not confer academic credit or official university status.Certificate_InferenceStats
Certificate_InferenceStatsShekhar Pandey
Ìý
An online certificate from Coursera confirms that Shekhar Pandey successfully completed a non-credit course in Statistical Inference authorized by Johns Hopkins University. The course was offered through Coursera and was taught by Jeff Leek, Roger Peng, and Brian Caffo of the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. The certificate can be verified on the Coursera website.vaccine
vaccineShuja Tahir
Ìý
Shuja Tahir completed an online course through Coursera titled "Vaccine Trials: Methods and Best Practices" offered by Johns Hopkins University. The course explored the process of evaluating investigational vaccines in clinical trials, including informed consent, recruitment, enrollment, safety evaluation, and quality data collection. The statement of accomplishment does not reflect the entire curriculum offered to students enrolled at Johns Hopkins University.Coursera NPBWRUG63YUX
Coursera NPBWRUG63YUXShan Dutt
Ìý
Santanu Dutta successfully completed the online non-credit course "Statistical Inference" offered through Coursera and authorized by Johns Hopkins University. The course certificate, signed by three professors from the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health, verifies that Santanu Dutta completed the course on May 24, 2016 and Coursera confirmed his identity and participation.Coursera 8EGQLS8ERV86
Coursera 8EGQLS8ERV86Nitish Bhushan
Ìý
An online learner named Nitish Bhushan received a course certificate from Johns Hopkins University for successfully completing an online non-credit course in R Programming offered through Coursera. The certificate was issued on 10/15/2016 and authorized by three professors from the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.STEP-UP Flyer 2016
STEP-UP Flyer 2016Gail Matters
Ìý
The STEP-UP program provides a 10-week summer research internship for under-represented college students, including a $4,500 stipend and travel expenses to present findings at an NIH symposium. Eligible students must be US citizens or legal residents studying a STEM field with a 3.0 GPA or higher who come from under-represented racial, ethnic groups, have a disability, or disadvantaged background. The internship experience involves biomedical research in diabetes, digestive, or kidney disease areas.COVID-19 Training for Healthcare Workers
COVID-19 Training for Healthcare WorkersNemeshWeerawarna
Ìý
Nemesh Heshan Weerawarna has successfully completed an online COVID-19 training course for healthcare workers offered through Coursera and authorized by Stanford University. The course was taught by SV Mahadevan and Matthew Strehlow. While some online courses may relate to on-campus courses, this online course does not confer a Stanford grade, credit, or degree, and only verifies the participant's identity and participation, not enrollment as a Stanford student.Coursera HRHL5RH3AXJ2
Coursera HRHL5RH3AXJ2Cole Frankel
Ìý
Cole G Frankel completed an online R Programming course through Coursera authorized by Johns Hopkins University. The course was non-credit bearing but offered a certificate signed by three professors from the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health. Coursera verified Frankel's identity and participation in the course.Coursera rprog 2016
Coursera rprog 2016Sudheer Jaisawal
Ìý
Sudheer Jaisawal completed a 4-week online R Programming course through Coursera authorized by Johns Hopkins University. The course certificate, dated 12/02/2015, confirms Sudheer successfully finished the course taught by Jeff Leek, Roger Peng, and Brian Caffo of Johns Hopkins Bloomberg School of Public Health's Department of Biostatistics. While Coursera verified Sudheer's identity and participation, the certificate does not confer academic credit or official university status.Practical machine learning
Practical machine learningDan Kjeldstrøm Hansen
Ìý
Dan Kjeldstrøm Hansen successfully completed the online Coursera course "Practical Machine Learning", authorized by Johns Hopkins University and offered through Coursera. The certificate confirms Dan's identity and participation in the course, taught by Jeff Leek, Roger Peng, and Brian Caffo of the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. The certificate does not confer academic credit or official university status.Similar to Mathematical biostatistics boot camp 1 (20)
Mathematical Biostatistics Bootcamp
Mathematical Biostatistics BootcampBryan Balajadia
Ìý
Bryan Balajadia successfully completed the Coursera course Mathematical Biostatistics Boot Camp from Johns Hopkins University with distinction in June 2013. The course covered key mathematical and statistical topics to help students better understand biostatistics. Students learned about the goals, assumptions, benefits and limitations of probability modeling in medical sciences.Statement of Accomplishment: Data Science Specialization VI - Statistical Inf...
Statement of Accomplishment: Data Science Specialization VI - Statistical Inf...Folco Bombardieri
Ìý
Statement of Accomplishment for the "Statistical Inference" Course from Coursera - 6th Course of the Data Science Specialization series (offered by Johns Hopkins University)
Duration: 4 weeks
Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference. A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance. This course presents the fundamentals of inference in a practical approach for getting things done. After taking this course, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data.Statistical Inference
Statistical Inferencestefanzvonar
Ìý
Stefan Zvonar successfully completed the Coursera course Statistical Inference from Johns Hopkins University with distinction on July 08, 2014. 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 problems. The statement was signed by Brian Caffo, Jeffrey Leek, and Roger Peng from Johns Hopkins Bloomberg School of Public Health.Coursera statinference 2015
Coursera statinference 2015Isabelle Valette
Ìý
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 2015Prahlad Modi
Ìý
Prahlad Modi successfully completed the Coursera course Statistical Inference offered by Johns Hopkins University on June 18, 2014. The course provided an overview of statistical inference goals, assumptions, and modes, enabling students to perform inferential tasks and use the skills for more complex analysis. The statement was signed by Brian Caffo, Roger Peng, and Jeffrey Leek of Johns Hopkins Bloomberg School of Public Health.Coursera Statement (Data Analysis, Mar 2013)
Coursera Statement (Data Analysis, Mar 2013)Jo-fai Chow
Ìý
Jo-Fai Chow successfully completed the Coursera course "Data Analysis" from Johns Hopkins University with distinction. The course teaches effective data analysis methods to solve problems and gain insight. The certificate was issued by Jeffrey Leek, Assistant Professor of Biostatistics at Johns Hopkins Bloomberg School of Public Health.Certificate - Data Analysis
Certificate - Data AnalysisFeng Guo
Ìý
Feng Guo successfully completed the Coursera course "Data Analysis" offered by Johns Hopkins University with distinction. The course taught effective data analysis methods for solving problems and gaining insight. It was led by Jeffrey Leek, Assistant Professor of Biostatistics at Johns Hopkins Bloomberg School of Public Health. The statement does not confer academic credit from Johns Hopkins University.get_certificate
get_certificateSara Bassiouny
Ìý
Sara Bassiouny completed the Coursera course "Design and Interpretation of Clinical Trials" from Johns Hopkins University with distinction. The course taught the basic principles of designing randomized clinical trials, including terminology, common trial designs, randomization, masking, ethics, and analyzing results. It was taught by Janet Holbrook and Lea Drye from the Department of Epidemiology at the Johns Hopkins Bloomberg School of Public Health.Coursera regmods 2015 Certificate
Coursera regmods 2015 CertificateMattia Manica
Ìý
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.Coursera regmods 2015
Coursera regmods 2015Harsheet Gandhi
Ìý
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 devdataprod 2016
Coursera devdataprod 2016Michal Uherek
Ìý
Michal Uherek completed the Coursera course "Developing Data Products" from Johns Hopkins University with distinction. The course covered creating interactive data products using Shiny, R packages, and graphics, with a focus on using data to tell stories to a mass audience. It was overseen by Brian Caffo, Jeffrey Leek, and Roger Peng from Johns Hopkins Bloomberg School of Public Health. The statement does not reflect the entire university curriculum or confer a Johns Hopkins grade, credit, or degree.EDA
EDASen, Vishwajit
Ìý
Vishwajit Sen successfully completed an online Coursera course titled "Exploratory Data Analysis" offered by Johns Hopkins University. The course covered exploratory data summarization techniques such as plotting in R and principles of constructing graphics. It also covered common multivariate techniques used for high-dimensional data visualization. The certificate does not reflect the entire on-campus curriculum and does not confer any credit or degree from Johns Hopkins University.Coursera develop dataproduct 2015
Coursera develop dataproduct 2015Isabelle Valette
Ìý
This document is a statement of accomplishment from Coursera.org certifying that Isabelle Claire Valette completed the course "Developing Data Products" from Johns Hopkins University with distinction on May 11, 2015. The course covered creating interactive data products using Shiny, R packages, and graphics with a focus on using data to tell stories to a mass audience. It was overseen by Brian Caffo, Jeffrey Leek, and Roger Peng from Johns Hopkins Bloomberg School of Public Health.Design & Interpretation of Clinical Trials by Johns Hopkins University. Garka...
Design & Interpretation of Clinical Trials by Johns Hopkins University. Garka...Pavel Garkaviy
Ìý
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.Coursera devdataprod 2015
Coursera devdataprod 2015Shivee Gupta
Ìý
This document is a statement of accomplishment from Coursera that Shivee Pradeep Gupta successfully completed the course "Developing Data Products" from Johns Hopkins University with distinction on February 11, 2015. The course covered creating interactive data products using Shiny, R packages, and graphics, with a focus on using data to tell stories to a mass audience. The statement was signed by Brian Caffo, Jeffrey Leek, and Roger Peng from Johns Hopkins Bloomberg School of Public Health.Regression Models
Regression Models✪C´Ç³¾±è³Ü³Ù²¹²Ô³Ù²õ✪Iµþ²Ñ³åµþ±Ê
Ìý
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.Coursera regmods 2015
Coursera regmods 2015Isabelle Valette
Ìý
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.Regression Models_CSD
Regression Models_CSDCHANDRA SHEKHER DOOT
Ìý
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 predmachlearn 2016
Coursera predmachlearn 2016Annette Taylor
Ìý
Annette Taylor completed the Coursera course "Practical Machine Learning" offered by Johns Hopkins University with distinction. 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 certificate was signed by Jeffrey Leek, Roger Peng, and Brian Caffo of Johns Hopkins Bloomberg School of Public Health.Coursera biostats2 2015
Coursera biostats2 2015Sayan Datta
Ìý
Sayan Datta successfully completed the Coursera course Mathematical Biostatistics Boot Camp 2 from Johns Hopkins University with distinction on June 26, 2014. The course covered fundamental concepts in data analysis and statistical inference including one and two independent samples, summarizing samples, hypothesis tests, two sample comparisons, classical non-parametric methods, and discrete data analysis methods. The course was offered through Coursera and did not reflect the entire on-campus curriculum at Johns Hopkins University.More from Yevgeniy Ivanchenko (8)
Web intelligence and big data
Web intelligence and big dataYevgeniy Ivanchenko
Ìý
Yevgeniy Ivanchenko completed the Coursera course "Web Intelligence and Big Data" with distinction. The course taught machine learning and parallel programming techniques for analyzing large datasets from sources like social media and genomics. It was offered online by Tata Consultancy Services and did not provide grades or verify student identity.Introduction to statistics
Introduction to statisticsYevgeniy Ivanchenko
Ìý
Yevgeniy Ivanchenko successfully completed the Introduction to Statistics course Making Decisions Based on Data with Highest Distinction, as certified by Sebastian Thrun in a letter dated September 15, 2013. The certificate recognizes Ivanchenko's mastery of using data to make decisions through the statistics course.Introduction to programming
Introduction to programmingYevgeniy Ivanchenko
Ìý
Yevgeniy Ivanchenko successfully completed two courses, Introduction to Programming and Problem Solving with Java, with highest distinction according to a certificate from U DA CIT Y L EAR N. HINK. D O. N. .TIntroduction to data science
Introduction to data scienceYevgeniy Ivanchenko
Ìý
Yevgeniy Ivanchenko completed Coursera's online Introduction to Data Science course with distinction. The course covered relational databases, MapReduce, NoSQL, statistical modeling, basic machine learning, visualization, and algorithmic topics critical to practical data science. The statement was signed by Bill Howe, Director of Research at the Scalable Data Analytics eScience Institute and affiliate assistant professor of Computer Science and Engineering at the University of Washington.Introduction to artificial intelligence
Introduction to artificial intelligenceYevgeniy Ivanchenko
Ìý
Yevgeniy Ivanchenko successfully completed an Introduction to Artificial Intelligence class with high distinction, as certified by Sebastian Thrun and Peter Norvig of Udacity. The certificate recognizes Ivanchenko's achievement in the AI course.Data mining with weka
Data mining with wekaYevgeniy Ivanchenko
Ìý
Yevgeniy Ivanchenko completed the online, non-credit course "Data Mining with Weka" provided by the University of Waikato on October 20th, 2013. This statement of completion does not represent credit towards a University of Waikato qualification and does not verify the person's identity or enrollment as a student. The statement was signed by Professor Ian H. Witten of the University of Waikato's Department of Computer Science.Big data for better performance
Big data for better performanceYevgeniy Ivanchenko
Ìý
This certificate recognizes that Yevgeniy Ivanchenko successfully completed the course "Big Data for Better Performance" on July 30th, 2013, earning a final score of 90%. He scored 100% on the introductory module and the first two modules on big data and marketing, and 60% on the final module regarding predictive marketing with big data.Mongo db for developers
Mongo db for developersYevgeniy Ivanchenko
Ìý
This certificate confirms that Yevgeniy Ivanchenko successfully completed the M101P: MongoDB for Developers course offered by 10gen, The MongoDB Company. The certificate is dated August 8th, 2013 and is signed by Max Schireson, CEO of 10gen, and Andrew Erlichson, Vice President of Education at 10gen.Mathematical biostatistics boot camp 1
- 1. coursera.org JUNE 09, 2013 Statement of Accomplishment WITH DISTINCTION YEVGENIY IVANCHENKO HAS SUCCESSFULLY COMPLETED THE JOHNS HOPKINS UNIVERSITY'S OFFERING OF Mathematical Biostatistics Boot Camp 1 This course puts forward key mathematical and statistical topics to help students understand biostatistics at a deeper level. Successful students have a basic understanding of the goals, assumptions, benefits and negatives of probability modeling in the medical sciences. BRIAN CAFFO, PHD, MS DEPARTMENT OF BIOSTATISTICS 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.