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Certificate of Achievement
ROEL MORALES MAGDA
has completed the following course:
BIG DATA ANALYTICS: OPPORTUNITIES, CHALLENGES AND THE FUTURE
GRIFFITH UNIVERSITY
This course explored big data analytics and its applications. Topics covered included the key concepts
of big data analytics; the relationship between big data and social media; and practical ways big data
analytics can solve problems in a variety of industries.
2 weeks, 4 hours per week
Sebastian Binnewies
Lecturer, School of Information and Communication Technology
Griffith University
Issued
22nd
May
2020.
futurelearn.com/certificates/pwwnxgp
The person named on this certificate has completed the activities in the
attached transcript. For more information about Certificates of
Achievement and the effort required to become eligible, visit
futurelearn.com/proof-of-learning/certificate-of-achievement.
This learner has not verified their identity. The certificate and transcript
do not imply the award of credit or the conferment of a qualification
from Griffith University.
ROEL MORALES MAGDA
has completed the following course:
BIG DATA ANALYTICS: OPPORTUNITIES, CHALLENGES AND THE
FUTURE
GRIFFITH UNIVERSITY
70%
AVERAGE TEST
SCORE
This course explored big data analytics and its
applications. Topics covered included the key
concepts of big data; an introduction to the data
analytics cycle; the relationship between big
data and social media; the opportunities and
challenges presented by big data analytics; and
practical ways big data analytics can solve
problems in a variety of industries.
STUDY REQUIREMENT
2 weeks, 4 hours per week
LEARNING OUTCOMES
SYLLABUS
Explain the key concepts of big data analytics
•
Evaluate data from different sources
•
Identify implications of big data analytics
•
Describe how big data analytics can solve
problems across disciplines
•
Introduction to big data and where it comes
from
•
Overview of the data analytics cycle
•
Social media platforms and types of data
•
Applications of big data across different
industries
•
Opportunities and challenges for big data
analytics
•
This transcript should be read alongside the accompanying Certificate of Achievement.
For more information about transcripts visit futurelearn.com. Issued 22nd May 2020. futurelearn.com/certificates/pwwnxgp

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BIG DATA ANALYTICS-OPPORTUNITIES,CHALLENGES AND THE FUTURE:CERTIFICATE OF ACHIEVEMENT

  • 1. Certificate of Achievement ROEL MORALES MAGDA has completed the following course: BIG DATA ANALYTICS: OPPORTUNITIES, CHALLENGES AND THE FUTURE GRIFFITH UNIVERSITY This course explored big data analytics and its applications. Topics covered included the key concepts of big data analytics; the relationship between big data and social media; and practical ways big data analytics can solve problems in a variety of industries. 2 weeks, 4 hours per week Sebastian Binnewies Lecturer, School of Information and Communication Technology Griffith University Issued 22nd May 2020. futurelearn.com/certificates/pwwnxgp The person named on this certificate has completed the activities in the attached transcript. For more information about Certificates of Achievement and the effort required to become eligible, visit futurelearn.com/proof-of-learning/certificate-of-achievement. This learner has not verified their identity. The certificate and transcript do not imply the award of credit or the conferment of a qualification from Griffith University.
  • 2. ROEL MORALES MAGDA has completed the following course: BIG DATA ANALYTICS: OPPORTUNITIES, CHALLENGES AND THE FUTURE GRIFFITH UNIVERSITY 70% AVERAGE TEST SCORE This course explored big data analytics and its applications. Topics covered included the key concepts of big data; an introduction to the data analytics cycle; the relationship between big data and social media; the opportunities and challenges presented by big data analytics; and practical ways big data analytics can solve problems in a variety of industries. STUDY REQUIREMENT 2 weeks, 4 hours per week LEARNING OUTCOMES SYLLABUS Explain the key concepts of big data analytics • Evaluate data from different sources • Identify implications of big data analytics • Describe how big data analytics can solve problems across disciplines • Introduction to big data and where it comes from • Overview of the data analytics cycle • Social media platforms and types of data • Applications of big data across different industries • Opportunities and challenges for big data analytics • This transcript should be read alongside the accompanying Certificate of Achievement. For more information about transcripts visit futurelearn.com. Issued 22nd May 2020. futurelearn.com/certificates/pwwnxgp