SlideShare a Scribd company logo
1 of 1
Download to read offline
coursera.org

JUNE 29, 2013

Statement of Accomplishment
WITH DISTINCTION

YEVGENIY IVANCHENKO
HAS SUCCESSFULLY COMPLETED THE ONLINE OFFERING OF

Introduction to Data Science
This course covered a broad set of topics critical to practical data
science: relational databases, MapReduce, NoSQL, statistical
modeling, basic machine learning, and visualization, and a
variety of algorithmic topics.

BILL HOWE, PH.D
DIRECTOR OF RESEARCH, SCALABLE DATA ANALYTICS
ESCIENCE INSTITUTE
AFFILIATE ASSISTANT PROFESSOR
COMPUTER SCIENCE & ENGINEERING
UNIVERSITY OF WASHINGTON
PLEASE NOTE: THIS STATEMENT DOES NOT AFFIRM THAT THIS STUDENT WAS ENROLLED AS A STUDENT AT AN ACADEMIC INSTITUTION IN
ANY WAY. IT DOES NOT CONFER A GRADE; IT DOES NOT CONFER ACADEMIC CREDIT; IT DOES NOT CONFER A DEGREE; AND IT DOES NOT
VERIFY THE IDENTITY OF THE STUDENT.

More Related Content

Similar to Coursera Data Science Certificate

Coursera datasci 2014
Coursera datasci 2014Coursera datasci 2014
Coursera datasci 2014Haoran Wang
 
Coursera datasci 2014 (Statement of Accomplishment)
Coursera datasci 2014 (Statement of Accomplishment)Coursera datasci 2014 (Statement of Accomplishment)
Coursera datasci 2014 (Statement of Accomplishment)Alexander Iskuskov
 
Dan's ResearchPoster FL Innovation Summit.pptx
Dan's ResearchPoster FL Innovation Summit.pptxDan's ResearchPoster FL Innovation Summit.pptx
Dan's ResearchPoster FL Innovation Summit.pptxDr. Daniel Eadens
 
MKE Internship_Hora Slides_2020
MKE Internship_Hora Slides_2020MKE Internship_Hora Slides_2020
MKE Internship_Hora Slides_2020Matthew Hora
 
Organizational Implications of Data Science Environments in Education, Resear...
Organizational Implications of Data Science Environments in Education, Resear...Organizational Implications of Data Science Environments in Education, Resear...
Organizational Implications of Data Science Environments in Education, Resear...Victoria Steeves
 
RESUME-XYANG-update15
RESUME-XYANG-update15RESUME-XYANG-update15
RESUME-XYANG-update15Xuguang Yang
 
Keynote Presentation: Implementing learning analytics and learning design at ...
Keynote Presentation: Implementing learning analytics and learning design at ...Keynote Presentation: Implementing learning analytics and learning design at ...
Keynote Presentation: Implementing learning analytics and learning design at ...Bart Rienties
 
Coursera hci 2016 (2)
Coursera hci 2016 (2)Coursera hci 2016 (2)
Coursera hci 2016 (2)Michal Uherek
 
IGNIS 2018 Webinar To Lock or Not to Lock: Using Respondus for.Secure Assessm...
IGNIS 2018 Webinar To Lock or Not to Lock: Using Respondus for.Secure Assessm...IGNIS 2018 Webinar To Lock or Not to Lock: Using Respondus for.Secure Assessm...
IGNIS 2018 Webinar To Lock or Not to Lock: Using Respondus for.Secure Assessm...SBCTCProfessionalLearning
 
Ai planning University of Edinburgh
Ai planning   University of EdinburghAi planning   University of Edinburgh
Ai planning University of EdinburghHarinath Palavalli
 
Macfadyen usc tlt keynote 2015.pptx
Macfadyen usc tlt keynote 2015.pptxMacfadyen usc tlt keynote 2015.pptx
Macfadyen usc tlt keynote 2015.pptxLeah Macfadyen
 
Social and Economic Networks: Models and Analysis
Social and Economic Networks: Models and AnalysisSocial and Economic Networks: Models and Analysis
Social and Economic Networks: Models and AnalysisVassilios Rendoumis
 
Understanding, predicting and optimizing learning with Learning Analytics
Understanding, predicting and optimizing learning with Learning AnalyticsUnderstanding, predicting and optimizing learning with Learning Analytics
Understanding, predicting and optimizing learning with Learning AnalyticsCITE
 

Similar to Coursera Data Science Certificate (20)

Coursera datasci 2014
Coursera datasci 2014Coursera datasci 2014
Coursera datasci 2014
 
Coursera datasci 2014 (Statement of Accomplishment)
Coursera datasci 2014 (Statement of Accomplishment)Coursera datasci 2014 (Statement of Accomplishment)
Coursera datasci 2014 (Statement of Accomplishment)
 
Coursera_MachineLearning
Coursera_MachineLearningCoursera_MachineLearning
Coursera_MachineLearning
 
Mooc records
Mooc recordsMooc records
Mooc records
 
Dan's ResearchPoster FL Innovation Summit.pptx
Dan's ResearchPoster FL Innovation Summit.pptxDan's ResearchPoster FL Innovation Summit.pptx
Dan's ResearchPoster FL Innovation Summit.pptx
 
MKE Internship_Hora Slides_2020
MKE Internship_Hora Slides_2020MKE Internship_Hora Slides_2020
MKE Internship_Hora Slides_2020
 
Coursera ml 2016
Coursera ml 2016Coursera ml 2016
Coursera ml 2016
 
Organizational Implications of Data Science Environments in Education, Resear...
Organizational Implications of Data Science Environments in Education, Resear...Organizational Implications of Data Science Environments in Education, Resear...
Organizational Implications of Data Science Environments in Education, Resear...
 
RESUME-XYANG-update15
RESUME-XYANG-update15RESUME-XYANG-update15
RESUME-XYANG-update15
 
Keynote Presentation: Implementing learning analytics and learning design at ...
Keynote Presentation: Implementing learning analytics and learning design at ...Keynote Presentation: Implementing learning analytics and learning design at ...
Keynote Presentation: Implementing learning analytics and learning design at ...
 
Coursera mmds 2014
Coursera mmds 2014Coursera mmds 2014
Coursera mmds 2014
 
Coursera hci 2016 (2)
Coursera hci 2016 (2)Coursera hci 2016 (2)
Coursera hci 2016 (2)
 
IGNIS 2018 Webinar To Lock or Not to Lock: Using Respondus for.Secure Assessm...
IGNIS 2018 Webinar To Lock or Not to Lock: Using Respondus for.Secure Assessm...IGNIS 2018 Webinar To Lock or Not to Lock: Using Respondus for.Secure Assessm...
IGNIS 2018 Webinar To Lock or Not to Lock: Using Respondus for.Secure Assessm...
 
Ai planning University of Edinburgh
Ai planning   University of EdinburghAi planning   University of Edinburgh
Ai planning University of Edinburgh
 
Coursera ml 2016
Coursera ml 2016Coursera ml 2016
Coursera ml 2016
 
Learning Analytics BETT2013
Learning Analytics BETT2013Learning Analytics BETT2013
Learning Analytics BETT2013
 
Macfadyen usc tlt keynote 2015.pptx
Macfadyen usc tlt keynote 2015.pptxMacfadyen usc tlt keynote 2015.pptx
Macfadyen usc tlt keynote 2015.pptx
 
eli2012-learning-analytics
eli2012-learning-analyticseli2012-learning-analytics
eli2012-learning-analytics
 
Social and Economic Networks: Models and Analysis
Social and Economic Networks: Models and AnalysisSocial and Economic Networks: Models and Analysis
Social and Economic Networks: Models and Analysis
 
Understanding, predicting and optimizing learning with Learning Analytics
Understanding, predicting and optimizing learning with Learning AnalyticsUnderstanding, predicting and optimizing learning with Learning Analytics
Understanding, predicting and optimizing learning with Learning Analytics
 

More from Yevgeniy Ivanchenko

More from Yevgeniy Ivanchenko (9)

Web intelligence and big data
Web intelligence and big dataWeb intelligence and big data
Web intelligence and big data
 
Mathematical biostatistics boot camp 1
Mathematical biostatistics boot camp 1Mathematical biostatistics boot camp 1
Mathematical biostatistics boot camp 1
 
Introduction to statistics
Introduction to statisticsIntroduction to statistics
Introduction to statistics
 
Introduction to programming
Introduction to programmingIntroduction to programming
Introduction to programming
 
Introduction to artificial intelligence
Introduction to artificial intelligenceIntroduction to artificial intelligence
Introduction to artificial intelligence
 
Data mining with weka
Data mining with wekaData mining with weka
Data mining with weka
 
Case based introduction to biostatistics
Case based introduction to biostatisticsCase based introduction to biostatistics
Case based introduction to biostatistics
 
Big data for better performance
Big data for better performanceBig data for better performance
Big data for better performance
 
Mongo db for developers
Mongo db for developersMongo db for developers
Mongo db for developers
 

Coursera Data Science Certificate

  • 1. coursera.org JUNE 29, 2013 Statement of Accomplishment WITH DISTINCTION YEVGENIY IVANCHENKO HAS SUCCESSFULLY COMPLETED THE ONLINE OFFERING OF Introduction to Data Science This course covered a broad set of topics critical to practical data science: relational databases, MapReduce, NoSQL, statistical modeling, basic machine learning, and visualization, and a variety of algorithmic topics. BILL HOWE, PH.D DIRECTOR OF RESEARCH, SCALABLE DATA ANALYTICS ESCIENCE INSTITUTE AFFILIATE ASSISTANT PROFESSOR COMPUTER SCIENCE & ENGINEERING UNIVERSITY OF WASHINGTON PLEASE NOTE: THIS STATEMENT DOES NOT AFFIRM THAT THIS STUDENT WAS ENROLLED AS A STUDENT AT AN ACADEMIC INSTITUTION IN ANY WAY. IT DOES NOT CONFER A GRADE; IT DOES NOT CONFER ACADEMIC CREDIT; IT DOES NOT CONFER A DEGREE; AND IT DOES NOT VERIFY THE IDENTITY OF THE STUDENT.