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Coursera Certificates
1. €aurserqc0ursera.org
JUNH tE, 2014
Statement ef Accomplishment
HAS SUCCESSFULLY CONdPLETED THE ]OHNS HOPKIT{S UNIVERSITY'S CFFER"ING OF
DOM FERNAN DEZ
]EFFREY LEEK, PHD
DEPARTMENT OF tsIOSTATISTICS, JOHNS HOPKIIIS
BLOOMBERG SCFTOOL OF PUBLIC HEAI.TH
rq {;C#*F d^*'*^*
BRIAI$ CAFFO, PHD, IVtrS
D E PARTIIE I{T O T' BIOSTATISTIC S, JO F{ N S }.IO PKI T{S
BI.OOTIBER.G SCFIOOL OF PUBLIC HEAI.T'H
PLEASE NOTE: THE ONLINE OFFERING OF THIS CLASS DOES NOT REFLECT THE EMIRE CURRICULIIM OFFERED TO STUDENTS ENROLLED AT
THE
'OHNS
HOPKINS UNWERSITY. THIS STATEMENT DOES NOT AFFIRM THAT THIS STUDENT WAS ENROLLED AS A STUDENT AT THE ]OHNS
HOPKINS UNIVERSITY IN ANYWAY. lT DOES NOT CONFER A JoHNS HoPKINS UNMRSITY GRADE; IT DOES NoT CONFERTOHNS HOPKINS
UNITERSITY CREDIT; IT DOES NOT CONFER A TOHNS HoPKINS UNMPSITY DEGREE; AND IT DOES NOT VERIFY THE IDENTITY OF THE
STUDENT,
The Dqtq Scientist's Toolbox
Overview of the data, questions, & tools that data analysts &
scientists work with. Xt is a conceptual introduction to the ideas
behind turning data into knowledge as well as a practical
introduction to tools like version control, rnarkdown, git, GitHub,
R" and RStudio.
R,OGER, D. PENG, PHD
DE PARTA4ENT OF BI OSTATI STICS, J0 F{ t'ts HO PKI NS
ELOOI{EERG SCHOOL OF PUBLIC F{EAI,TH
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DOM FERNAN DHZ
dens <- density(dctn, n * npts)
dx <- dens$x
dy .- dens$y
if(odd ** TRIIE)
oloti'B Qg#%goi"
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dy2 *- (dx - ilttffiffiffix(arrt
V[1.] er 5---
sgqbe!-ow <- rep(y[l. ] , tength(dx)) 4, ,
tf(Fttt ** T) -= 5
confshcde(dxZ, seqbelow, dyZ J
HAS SUCCESSFULLY COfuTPLETED THE ]CIHNS HOPKIT{S UNIVERSITV'S CIFFER.ING OF
R Progromming
This course covers how to use & program in R for effective data
analysis" It covers practical issues in statisticai conrputing:
programming in R, reading data into R., accessing R packages,
writing R functions, debugging, profiling R code, & organizing and
commenting R code.
jUNH r8, a0ta
R.OGER D. PENIG, PF{D
DEPARTMENT OF BIOSTATISTICS,
'OHhTS
FIOPKINS
BLOOMBERG SCFIOOL OF PUBLIC HEAI"TFI
JEFFREY LEEK, PHD
D E PARTA4EI.IT CI F EIOSTATISTI CS, JOH NS I{OPKI NS
ELOOMBERG SCFNOOL OF PUBLIC I-IEAI"TH
{il-* r[dd*"
BRIAI{ CAFFO, PHD, futrS
DE PARTMEhIT O F' tsIOSTATI STtrCS, JOH N S FXOPKI NS
BI,OOftIBER"G SCX{OOL OF PUBLIC HEAI,TH
PLEASE NOTE: THE ONLINE OFFERING OF THIS CLASS DOES NOT REFLECT THE ENTIRX CURRICULUM OFFERED TO STUDENTS ENROLLED AT
THE JOHNS HOPKINS UNMRSITY. THIS STATEMENT DOES NOT AFFIRM THAT THIS STUDENT WAS ENROLLED AS A STUDENT AT THE
'OHNS
HOPKINS UNMRSITY IN ANY WAY. IT DOES NoT CONFER A ,OHNS HOPKINS UNMRSITY GRADE; IT DOES NOI CONFER JOHNS HOpKINS
UNIVERSITY CREDIT; IT DoEs NoT coNFER A JoHNs HoPKINS UNIVERSITY DECREE; AND IT DoEs NoT vERIFy THx IDENITTY oF THE
STUDENT.
3. jULV cE, 2or4
trouffierqc0u.rsera.org
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F{AS SUCCESSFULLY COMPLETED TF{E JOHNS HOPKINS UNIVER.SIT'Y'S CIFFERiNG OF
DOM FERNAN DHZ
]EFFREY LEEK, PHD
DEPARTMENT OF BIOSTATISTICS, ]OHNS HOPKI}.{S
tsLOOMBERG SCFIOOL OF PUBLIC HEALTH
d#^*^- {;f,F'-
BRIAN CAFFO, PHD, MS
D E PARTN{,EITT O F BI OSTATI STIC S, JO H I{ S H O PKI NIS
BI,OOMEERG SCI{OOL OF PUBLIC HEALTH
PLEASE NOTE: THE ONUNE OFFERINO OF THIS CLASS DOES NOT REFLECT THE EMIRE CURRICULUM OFFERID TO STUDEMS ENROLLED AT
THE JOHNS HOPKINS UNIVERSITY. THIS STATEMENT DOES NOT AFFIRM THAT THIS STUDENT WAS ENROLLED AS A STUDENT AT THE JOHNS
HOPKINS UNMERSITY IN ANYWAY. IT DOES NOT CONFERAIOIINS HOPKINS UNMRSITY GRADE; IT DOES NOT CONFER TOHNS HOPKINS
UNIYERSITY CREDIT; IT DOES NOT CONFER A JOHNS HOPKINS IJNIVERSITY DEGREE; AND IT DOES NOT VERIFY THE IDENTTY oF THE
STUDENT.
Getting qnd Cleqning Dqtq
This course covers obtaining data from the web, Apls, databases,
and colleagues in various forrnats, as well as the basics of
cleaning and "tidying" data" It also covers the connponents of a
complete data seil raw data, processing instructions, codebooks, &
processed data.
ROGER D" PEbtrG, PHD
DEPARTN4ENT OF EIOSTATISTICS,
'OHNS
FXOPKINS
BX"OOMBERG SCF{OOL OF PUBLIC HEAI.TH
4. JULY oE, zor4
c/Jurserqcoursera.org
Statement of Accomplishment
HAS SUCCESSFULLY COMPLETED THE JOHNS F{OPKII{S UNIVERSTTY'S OFFERING OF
DOM FERNAN DEZ
ROGER D. PEI{G, PHD
D E PARTMET'IT OF tsl OSTATISTICS, JOH N S HOPKI t tS
BLOOI{BERG SCHOOL OF PUBLIC FIEAI.TH
*-##*
Explorqtory Dotq Anolysis
covers exploratory data surnmarization techr"liques that are
applied before modeling to inform development of complex
modetrs" Topics incxude plotting in R, principles of constructing
graphics, and common multivariate techniques used for high-
dimensional data visualization"
JEFFREY LEEK, PHD
DEPARTMENT OF BIOSTATISTICS, JOHNS HOPKINS
BLOOMBERG SCHOOL OF PUBLIC FIEALTH
BRIAN CAFFO, PFID, MS
DEPARTMENT OF BXOSTATISTICS, JOHNS I-IOPKINS
BLOOMBER.G SCFIOOL OF PUBLIC HEALTH
PLEASE NOTE: THE ONLINE OFFERING OF THIS CI.ASS DOES NOT REFLECT THE ENTIRE CURRICULUM oFFERED To STUDENTS ENRoLLED AT
THE
'OHNS
HOPKINS UNIVERSITY. THIS STATEMENT DOES NOT ATFIRM THAT THIS STUDENT WAS ENROLLED AS A STUDENT AT THE ]OHNS
HOPKINS UNIVERSITY lN ANY WAY IT DOES NOT CONFER A TOHNS HOPKINS UNMRSITY GMDE; IT DOES NOT CONFER IOHNS HOPKINS
UNIVERSITY CREDIT; IT DOES NOT CONFER A IOHNS HOPKINS UNMRSITY DEGREEi AND IT DOES NOT VERIFY THE IDENflTY OF THE
STUDENT.
5. troum$erqcoursera.org
JWtV 0E, zos4
---
BRIANI CAFFO, PHD, MS
DEP, ARTMENT OF BIOSTATiSTICS, ]OHNS HOPKINS
BIOOft{BERG SCFIOOL OF PUBLIC HEALTH
}EFFREY I,EEK, PHD
DEPARTMENT OF BiOSTATISTICS, IOHI'{S HOPKINS
BI.OOIVIBERG SCHOOL OF PUBLIC HEALTFI
R.OGER D. PEbtrG, PHD
DEPARTMENT OF BIOSTATISTICS, JOHNS HOPKINS
BLOOMBERG SCHOOL OF PUBLIC HEAI,TH
PLEASE NOTE: THE ONLINE OFFERING OF THIS CLASS DOES NOT REFLESI THE ENTIRE CURRICULUM OrFERED TO STUDEMS ENROLLED AT
THE JOHNS HOPKINS UNIVERSITY. THIS STATEMENT DOES NOT AFFIRM THAT THIS STUDENT WAS ENROLLED AS A STUDENT AT THE JOHNS
HOPKINS UNMRSITY IN ANYWAY. IT DOES NoT coNFER A TOHNS HOPKINS UNMRSITY GRADE; IT DOES NOT CONFERJOHNS HOPKNS
UNIVERSITY CREDIT; lT DOES NOT CONFER A JOHNS HOPKINS UNMRSITY DEGREE; AND IT DoES NOT VERIFY THE IDENTITY OF THE
STUDENT.
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HAS SUCCESSFULLY CON4PLETED THE ]OHNS HOPKINS UNIVERSITY'S CIFFERiNG OF
DOM FERNAN DEZ
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Developing Dqtq Products
This course covers the basics of creating data products using
Shiny, R packages, and interactive graphics. The course focuses on
the statistical fundamentals of creating a data product that can be
used to tell a story about data to a mass audience.
6. uJurserqcoursera.org
JULY 08, zal4
Statement of Accomplishment
HAS SUCCESSFULLY COMPLETED THE ]OF{NS HOPKII{S UITIVERSITY'S OFFERING OF
DOM FERNAN DEZ
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IEFFREY LEEK, PHD
DE PARTI{ENT O F BI OSTATISTICS, IOH N S FIO PKI NS
BLOOMBERG SCFIOOL OF PUBLIC HEALTH
Procticql Mochine Leqrning
Upon cornpletion of this course students understand the
components of a machine learning algorithm and how to
"pply
multiple basic machine learning tools. Students ako nearn to
apply these tools to br.rild and evaluate predictors on real data.
##*
BRIAN CAFFO, PI{D, MS
DEPARTMENT OF BIOSTATISTICS, ]OFINS FIOPKINS
BI.OOMBERG SCFTOOL OF PUBLIC HEALTH
ROGER D. PENG, PHD
DEPARTMENT OF BIOSTATISTICS, TOHNS FIOPKII{S
BLOOMBERG SCFTOOL OF PUBLIC HEALT'H
PLEASE NOT!: THE ONLINE OFFERING OF THIS CIASS DOES NO|r REFLECT THE ENTIRE CURRICULUM OFFERED TO STUDEMS ENROLLED AT
THE JOHNS HOPKINS UNIVERSITY. TTIIS STATEMENT DOES NOT AFFIRM THAT THIS STUDEM WAS ENROLLED AS A STUDENT AT THE
'OHNSHOPKINS UNIVERSITY INANYWAY. tT DOES NOT CONFERATOHNS HOPKINSUNMRSITY GMDE; IT DOES NOTCONFERjOHNS HOPruNS
UNTVERSITY CREDTT; IT DOES NOT CONFER A IOHNS HoPKINS UMVERSITY DEGREEi AND IT DOES NoT VERIFY THE IDENTITY OF THE
STUDENT.
7. ffa/urserqcoir.rsera"org
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BRIAN CAFFO, PHD, MS
DEPARTMENT OF BIOSTATISTICS, JOHNS FIOPKI}TS
BLOOMBERG SCHOOL OF PUBLIC HEALTH
ROGER D, PENG, PHD
DEPARTMENT OF BIOSTATISTICS, JOHNS FIOPKINS
BLOOMBERG SCHOOL OF PUBLIC HEAI,TH
PLEASE NOTE: THE ONLINE OFFERING OF THIS CLASS DOES NOT REFLECT THE ENTIRE CURRICULUM OFFERED TO STUDENTS ENROLLED AT
THE ,IOHNS HOPKINS UNIVEPSITY. THIS STATEMENT DOES NOT AFFIRM THAT THIS STUDENT WAS ENROLLED AS A STUDENT AT THE JOHNS
HOPKINS UNMRSITY IN ANY WAY IT DOES NOT CONFER A IOHNS HoPKNS UNMRSITY GMDE; IT DOES NOT CONFER IOHNS HOPKNS
UNIVERSTTY CREDIT; IT DOES NOT CONFER A JOHNS HoPKINS UNMRSITY DEGREE; AND IT DOES NoT VERIFY THE IDENTITY OF THE
STUDENT.
Statement of Accomplishment
DOM FERNAN DEZ
I{AS SUCCESSFULLY COMPLETED THE ]OHNS HOPKINS UNIVERSIT'Y'S OFFERING OF
Developing Dstq Products
This course covers the basics of creating data products using
Shiny, R packages, and interactive graphics. The course focuses on
the statistical fundamentals of creating a data product that can be
used to teii a story about data to a mass audience.
}EFFREY LEEK, PHD
DEPARTMENT OF BIOSTATISTICS, JOHNS HOPKINS
BLOOMBERG SCF{OOL OF PUBLIC HEALTH
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8. q)urserq
coursera.org
JUtV 08, aot4
BRIAN CAFFO, PHD, MS
DEPARTMENT OF BIOSTATISTICS, JOHNS HOPKINS
BI.OOMBERG SCFIOOL OF PUBLIC HEALTH
Stqtistical Inference
Students receive a broad overview of the goals, assumptions, and
modes of statistical infenence. Successful students can perform
inferentia1 tasks in highly targeted settings and are able to use the
skills developed for rnore complex inferential challenges.
JEFFREY LEEK, PHD
DE PARTI4E NIT O F' BIOSTATI STI CS, JO FI N S HO PKI h{S
BLOOMBERG SCF{OOL OF PUBLIC HEAI"TF{
R.OGER. D. PENG, PHD
DEPARTMENT OF BIOSTATISTICS, JOHNS HOPKINS
BLOOMBERG SCHOOL OF PUBLIC HEALTH
PLEASE NOTE: THE ONLINE OFFERING OF THIS CI.ASS DOES NOT REFLECT THE ENTIRE CURRICULUM OFFERED TO STUDENTS ENRoLLED AT
THE JOHNS HOPKINS UNIVERSITT. THIS STATEMENT DOES NOT ATFIRM THAT THIS STUDENT WAS ENROLLTD AS A STUDENT AT ]]IE
'OHNSHOPKINS UNIVERSITY IN ANYWAY. IT DOES NOT CONFER ATOHNS HoPKNS UNMRSITY GRADE; IT DOES NOT CONFERjOHNS HOPIQNS
UNMRSITY CREDIT; IT DOES NOT CONFER A JOHNS HOPKINS IJNMPSITY DEGREE; AND IT DOES NOT VERIFY THE IDENTITY OF THE
STUDENT.
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HAS SUCCESSFULLY COMPLETED THE ]OHNS HOPKINS UI{IVERSITY'S OFFERING OF
DOM FERNAN DEZ
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9. JWtV oE, z0s4
g)urserq
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HAS SUCCESSFUI,LY COAAPLETED T'F{E JOHNIS HOPKIb{S UNIVERSITY'S OFFER.ING OF
DOM FERNAN DEZ
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JEFFREY LEEK, PHD
DE PARTME NT O T' tsIOSTATISTI C S, JO FI NS FI OPKI h[S
BLOOMBERG SCFIOOL OF PUBLIC FIEAI,TH
PLEASE NOTE: THE ONLINE OFFERING OF THIS CLASS DOES NOT REFLECT THE ENTIRE CURRICULUM OFFERED TO STUDENTS ENROLLED AT
THE ]OHNS HOPKINS UNIVERSITY. THIS STATEMENT DOES NOT AFFIRM THAT THIS STUDEM WAS XNROLLED AS A STUDENT AT THE ]OHNS
HOPKINS UNIVERSITY rN ANY WAY IT DOES NOT CONFER A TOHNS HOPKINS UNIVERSITY CRADE; IT DOES NOT CoNFER JOHNS HOpKINS
UNMRSITY CREDIT; IT DoES NOT CONFER A ,OHNS IIOPKINS UNMRSITy DXGREE; AND IT DOES NOT VEzuFy THn IDENTITY of THE
STUDENT,
-*{-CW*"
BRIAN CAFFO, PHD, IVtrS
DE PARTME I,lT OF B[ OSTATISTICS, iO H NS FIOPKI hts
BI.OOIVIBERG SCFIOOL OF PUBLIC HEAI,TFI
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Regression Models
Students learn how to fit regnession models, interpret coefficients,
and investigate residuals and variability. students also learn to
use dummy variables, muitivariable adjustrnent, and extensions
to generalized linear rnodels, especially Poisson and trogistic
regression"
R,OGER D. PENG, PHD
DEPARTME}.IT OF BIOSTATISTICS, JOHNS HOPKINS
BLOOIVIBERG SCFXOOL OF PUBLIC FTEAI.TH
10. ca/urserqcorlrsera"org
JUI"Y eE, Por4
*
tsRI.ANI CAFFO, PHD, MS
DEPARTMENT OF BIOSTATISTICS, JOHNS HOPKINS
BLOOMBERG SCHOOL OF PUBLIC HEATTH
IEFFREY LEEK, PHD
D E pARTn4E NT OF EI OSTATISTIC S, tOF{ t{S H OPKI NS
BI.OOfuTBER.G SCFXOOL OF PUBTIC FIEALTH
ROGER D, PENG, PHD
DEPARTMENT OF BIOSTATISTICS, JOHNS HOPKINS
BLOOMBERG SCHOOL OF PUBLIC HEALTH
PLEASE NOTE: THE ONI,INE OFFERING OT THIS CI.A.SS DOES NOT REFLECT THE ENTIRE CIJRRICULUM OFFERED TO STUDENTS ENRoLLED AT
THE JOHNS HOPKINS UNIVERSITY. THIS STATEMENT DOES NOT AIFIRM THAT THIS STUDENT WAS ENROLLED AS A STUDENI AT THE JOHNS
HOPKINS UNMRSITY IN ANY WAY IT DOES NOT CONFER A IOHNS HOPKTNS UNMRSITY GRADE; IT DOES NOT CONFER IOHNS HOPKNS
UNMRSITY CREDIT; IT DOES NoT CONTER A IOHNS HOPKINS UNMISITY DECREE; AND IT DOES NOT VERIFY THE IDENTITY OF THE
STUDENT.
Statement of Accomplishment
HAS SUCCESSFULLY COMPLETED THE JOHNS HOPKINS UNIVER.SITY'S OFFER,ING OF
DOM FERNAN DEZ
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Stqtisticol Inference
Students receive a broad overview of the goals, assumptions, and
modes of statistical inference. Successful students can perform
inferentiaX tasks in highly targeted settings and are able to use the
skills developed for rnore connplex inferential challenges.
11. calurserqconrsera.org
JULV 08, zolq
ffiumuffi Rmffi ffiK ffi ff Amffi ffi ffipRf s&rumemt
F{AS SUCCESSFULLY COMPLETED THE JOHNS HOPKiNS UNIVER,SITY'S OFFERING OF
DOM FERNAN DEZ
Reproducible Reseqrch
This course covers how to write a document using R. rnarkdown,
integrate live R code into a literate statistical program, compile R
markdown d.ocurnents using knitr and related tools, and organize
a data analysis so that it is reproducible and accessible to others"
R,OGER D, PENG, PHD
DEPARTMENT OF BIOSTATISTICS, JOHNS HOPKINS
BLOOMBERG SCHOOL OF PUBLIC HEALTH
JEFFREY LEEK, PHD
DEPARTMEhIT OF BIOSTATISTICS, JOHNS HOPKINS
BLOOIVIBERG SCFXOOL OF PUBLIC F{EALTH
u***^- S#*
BRIAN CAFFO, PHD, NIS
DEPARTMENT OF BIOSTATISTICS, JOHNS HOPKINS
BLOOMBER.G SCFIOOL OF PUBLIC HEALTH
PLEASE NOTE: THE ONLINE oFFERING OF THIS CI.A.SS DOES NOT REFLECT THE ENTIRE CURNCULUM OFFERED To STUDENTS ENROLLED AT
THE JOHNS HOPKINS UNIVERSITY. THIS STATEMENT DOES NOT AFFIRM THAT THIS STUDENT WAS ENROLLED AS A STUDENT AT THE ]OHNS
HOPKINS UNIVERSITY IN AI{Y WAY. IT DOES NOT CONFER A JoflNS HOPKINS UNIVERSITY OMDE; lT DOES NoT CONFER IOHNS HOPKINS
UNMRSITY CR.EDIT; IT DoES NOT CONFER A .IOHNS HoPKINS UNIYERSITY DEGREE; AND Ir DOES NOT VERIFY THE IDENTITY OF THE
STUDENT.
12. €f;}urserge0&xrsera"erg
SWISH sz, p0s4
Statement of Accomplishrnent
DOful FHRNAN DEZ
Web Appllcotion Arehltectu nes
This colnrse exploned the development of r,veb applicatiot"u
anchitectures front an engineering perspective" This involved
eonsidenation of uhe ft:.ndantentat design patterns in modenn web
apps, alorug with titej.r major comnponents, and. exposune to
modern software engineening pnactiee.
*n4&PRCFHSSCIR GRHGCRV L. FiHNtEfulAN, PF{"D.
DEPARTIVIENT AT{D ELECTRICAL & CON{PUTER
ET{GINEERIhic
UNNVHRSITV CF hJH!V fuTHXICC
13. DOM FERNAN DEZ
F{AS SUCC HSSFUTIV COIVIPLHTHN
Model Thinking
This course provided an intnoduction on how to think using
models. Specific topics included, among others, decision-rnaking,
tipping points, economic models, cnowd dynarnics, fuIarkov
processes, galrle theory and pnedictive thinking.
SCOTT PAGE
LEONID HUWICZ COTLEGIATE PROFESSOR OF COMPLEX
SYSTEMS, POLITICAL SCIENCE, AND ECONOMICS
UNIVERSITY OF MICHIGAN
PLEASE NOTE; THE ONLINE OFFERING OF THIS CLASS DOES NOT REFLECT THE ENTIRE CURRICULUM OFFERED TO STUDENTS ENROLLED AT
THE UNIVERSITY OF MICHIGAN, THIS STATEMENT DOES NOT AFFIRM THAT TTIIS STUDENT WAS ENROLLED AS A STUDENTAT THE UNIVERSITY
OF MICHIGAN IN ANY WAY. IT DOES NOT CONFERA UNMRSITY OF MICHIGAN GMDE; IT DOES NOT CONFER UNIVERSITY OF MICHIGAN
CREDIT: IT DOES NOT CONFER A UNIVERSITY OF MICHIGAN DEGREE: AND IT DOES NOT VERIFY THE IDENTITY OF THE STUDENT.
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Statement of Accomplishment
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Statement of Accomplishment
courserqcCIursetra"org
JUX"V mE, as14
HAS SUCCESSFULLY COMPLETED THE UNIVERSITY OF PENNSYLVANIA'S ONLINE OFFERING OF
DOM FERNAN DEZ
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work
home
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Better !-eoder; Richer Life
Success today requines Lrs to see leadership and }ife as pieces of
the sanne puzzle" This course teaches a method for ir^nproving
penformance in all domains of life *- worle, honne, community,
and self (rnind, body, spirir) -- by being neal, being whole, and
being innovative"
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PROF. STEWART'D. FRIHDNAAN, PFID
THE WHARTON SCHOCIL
UNIVER.SITY OF PENNSVI"VAI{IA
THIS STATEMENT OF ACCOMPLISHMENT IS NOTA UNMERSITY OF PENNSYLVANIA DEGREE; AND IT DOES NOT VERIFY THE IDENTITY OF THE
STUDENT; PLEASE NOTE: THIS ONLINE OFFERING DOES NOT REFLECT THE ENTIRE CURRICI,'LUM OFFERED TO STUDENTS ENROLLED AT THE
UNIVERSITY OF PENNSYLVANIA" THIS STATEMENT DOES NOT AFFIRM THAT THIS STUDENT WAS ENROLLED AS A STUDENT AT THE
UNIVERSITY OF PENNSYLVANI,A IN ANY WAY. IT DOES NOT CONFERA UNTVEPsITY OF PENNSYLVANIA GRADE; IT DOES NOT CONFER
uNIvEFslrY oF PENNSYLVANIA CREDIT; IT DOES Nor coNFERANy CREDENTTAL To rHE sruDENr.
15. DOM FERhI AN NHZ
F{AS SWCC HSSF'UtLV CSAAPLHTHM
Model Thinking
This coi;.rse provided an introduetion on how to think using
modens. Specific topics ineluded, am.ong others, decision-making,
tipping points, economic nnodels, cnowd dynamics, fuTarkov
processes, galrLe theory arud pnedlctive thinking.
SCOTT PAGE
LEONID HUWICZ COTTEGIATE PROFESSOR OF COMPLEX
SYSTEMS, POLITICAL SCIENCE, AND ECONOMICS
UNIVERSITY OF MICHIGAN
PLEASE NOTE: THE ONLINE OFFERING OF THIS CLASS DOES NOT REFLECT THE ENTIRE CURRICULUM OFFERED TO STUDENTS ENROLLED AT
THE UNIVERSITY OF MICHIGAN. THIS STATEMENT DOES NOT AFFIRM THAT THIS STUDENT WAS ENROLLED AS A STUDENTAT THE UNIVERSITY
OF MICHIGAN IN ANY WAY. IT DOES NOT CONFER A UNMRSITY OF MICHIGAN GMDE; IT DOES NOT CONFER UNMRSITY OF MICHIGAN
CREDIT; IT DOES NOT CONFER A UNIVERSITY OF MICHIGAN DEGREE: AND IT DOES NOT VERIFY THE IDENTITY OF THE STUDENT,
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Statem.ent of Accomplishment
16. DOh/t FHR NAN DEZ
FTAS SWCCHSSFUI"LV COfu[PtHTHM
Model Thinking
This course provided aru intnoduction on hcw to think using
ntodels" Specif,ic topics ineluded, am.ong othens, decision-making,
tippfng points, economic models, cnowd dynamics, futrarkov
processes, gasrte tlteory and pnedective thinking.
SCOTT PAGE
LEONID HUWICZ COLLEGIATE PROFESSOR OF COMPLEX
SYSTEMS, POLiTICAL SCIENCE, AND ECONOMICS
UNIVERSITY OF MICHIGAN
PLEASE NOTE: THE ONLINE OFFERING OF THIS CLASS DOES NOT REFLECT THE ENTIRE CURRICULUM OFFERED TO STUDENTS ENRoLLED AT
THE UNIVEPSITV OF MICHIGAN. THIS STATEMENT DOES NOT AFFIRM THAT THIS STUDENT WAS ENROLLED AS A STUDENT AT THE UNIVERSITY
OF MICHIGAN IN ANY WAY. IT DOES NOT CONFERA UNMRSITY OF MICHIGAN GMDE; IT DOES NOT CONFER UNMRSITY OF MICHIGAN
CREDIT; IT DOES NOT CONFER A UNIVERSITY OF MICHIGAN DEGREE; AND IT DOES NOT VERIFY THE IDENTITY OF THE STUDENT
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Statement of Accomplishment
17. €oursergcCI&nrsera.0rg
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Statement of Accomplishment
DOM FERNAN DEZ
I.{AS SUCCHSSFULLY COfuTPLNTHN THE IHSH ONLIXSH OFFHRIT{G OF
GLffiHHGt*balizatisn af Busines$ Hnt*rprise
M,sdMdrE
PROF. PANKAI GHEMAI^IAI
PROFESSOR OF STRATEGIC MANAGEMENT
ANSELMO RUBIRALTA PROFESSOR OF GLOBAL
STRATEGY
IESE BUSINESS SCHOOL
PLEASE NOTE: THE ONLINE OFFERING OF THIS CLASS DOES NOT REFLECT THE ENTIRE CURRICULUM OFFERED TO STUDENTS ENROLLED AT
IESE. THIS STATEMENT DOES NOT AFFIRM THAT THIS STUDENT WAS ENROLLED AS A STUDENTAT IESE IN ANY WAY. IT DOES NOT CONFERA
IESE GMDE; IT DOES NOT CONFER IESE CREDIT; IT DOES NOT CONFER A IESE DEGREE; AND IT DOES NOT VERIFY THE IDENTITY OF THE
STUOSI'IT.
Globoli zetion of Business Enterprise
This corirse debunks sCIme of the rnany myths that sunround
globalization, looks at its actual stnuctune, and discusses the
implications fon mankets, companies and the people who work in
them"
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Statement of Accomplishment
F{AS SUCCHSSFUI.LV CCIMPLHTEE TF{H COURSERA OI.$LINE COURSH
DOM FERNAN DEZ
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R EDWARD FREEMAN
UNIVERSITY PROFESSOR
ELIS AND SIGNE OLSSON PROFESSOR OF BUSINESS
ADMINISTRAT]ON
DARDEN SCHOOL OF BUSINESS
UNIVERSITY OF VIRCINIA
IMPORTANT NOTE: THE ONLINE OFFERING OF THIS CLASS IS NOT IDENTICAL TO ANY COURSE OFfERED AT THE UNTVERSITY OF VIRGINI.A
(.WA). THE COURSERA PARTICIPANT WHO HAS RECEIVED THIS STATEMENT OF ACCOMPLISHMENT IS NOT ENROLLED AS A STUDENTAT I'VA,
HAS NOT RECETVED CREDIT ORA GMDE FROM THE UNIVERSITY OF VIRCINIA NOR HAS THE PARTICIPANT'S IDENTITY BEEN VERIFIED BY WA
New Models of Business in Society
Thris coutrse explains and analyzes the new ernerging narratives of
br-lsiness and its largen irmpact on society. trt develops your ability
to think broadly and cnitieally about business, and your ability to
create business ideas that are protitable and make the wortrd
better.
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DOM FERNAN D EZ
HAS SUCCESSFULLY COMPLETED THE UNIVERSITY OF PENNSYLVANIA'S ONLINE OFFERING OF
An Introduction to Mqrketing
This is a gnaduate leveJ j.ntroduction to th.e ccncepts of &{arketing"
?he eourse focuses on bra.nding, eustsrner cent::icity and go-to-
rnarket strategi€s"
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DIRHCTOR OF THE }VHARTON CUS?CI4ER ANALYTICS
;NITIATIVE
DAVID R. Bf,LL, FROF;SSOR" CF i.IAR.KETING
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BARBARA g. KAH}T, PRCFESSCR CT N&{R.KTTJNG AI'j}
DIR.ECTCR, JAY H. BAK:R F.ETAILiNC CENTilR
THIS STATEMENTOFACCoMPLISHMENT IS NOT A UNMRSITV OF PENNSYLVANTA DECREE:AND IT DOES NOTVERIFYTHE IDENTITY OFTHE
STUDENTi PLEASE NOTE: THIS ONLTNE OFFERING DOES NOT REFLECTTHS ENTIRE CURRICULUMoFFERED To STUDENTS ENRoLLEDATT}TE
UNiVERSITY OF PENNSYLVANIA THIS STATEMENT DOES NOTAFFIRM THAT THIS STUDSNT WAS ENROLLED AS A STUDENT AT THE
UNftERSITY OF PENNSYLVANIA IN ANYWAT IT DOES NOTCONFERAUNMRSIfi OF PENNSYLVANIA GMDEr IT DOES NoT CONFER
UNIVERSITY OF PENNSYLVANIA CREDIT; IT DOES NoT CONFERANY CREDENTIAL To THE STUDTNT.
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Statement of Accomplishment
DOM FERNAN DEZ
HAS SUCCESSFULLY COMPLETED THE UNIVERSITY OF PENNSYLVANIA'S ONLINE OFFERING OF
Analyzing Globatr Tlnends
,1r)r" Business, t n, / $ociety
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An olyzing Globql Trends for
Business ond Society
Analyzing Global Trends provides students with an
understanding of how the wonld is changing"
PROFHSSOR, IVIAURO F. GUILTUru
THIS STATEMENT OF ACCOMPLISHMENT IS NOT A UNIVERSITY OF PENNSYLVANI,A DEGREE AND IT DOES NOT VERIFY THE IDENTITY OF THE
STUDENT; PLEASE NOTE: THIS ONLINE OFFERING DOES NOT REFLECT THE ENTIRE CURRICULUM OFFERED TO STUDENTS ENROLLED AT THE
UNIVERSITY OF PENNSYLVANI,A" THIS STATEMENT DOES NOT AFFIRM THAT THIS STUDENT WAs ENROLLED AS A STUDENT AT THE
UNMRSITY OF PENNSYLVANLA IN ANYWAY. IT DOES NOT CONTERA UNIVERSITY OF PENNSYLVANIA GRADE; IT DOES NOT CONFER
UNIVEPSITY OF PENNSYLVANI,A CREDIT; IT DOES NOT CONFERANY CREDENTIAL To THE STUDENT.