Introduction Lecture 01 Data Science.pdf

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1. INTRODUCTION TO DATA SCIENCE
Dr. Amal Fouad
Senior Data Scientist

2. WhyshouldstudyDataScience?
HowDoesDataScienceImpactOrganizations?
ApplicationandCompetitive
Advantage
Importance of Data Science
What We’ll Discuss
Agenda

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DS vs AI vs ML vs DL?

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DS vs AI vs ML vs DL?

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Why Data Science?

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Why Data Science?

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Why Data Science?

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Dataisacollectionofdetailsordataremainingin
theformofeitherfigure'stexts,symbols,
descriptions,ormoreobservationsofentities.
Datahasvariousformslikeletters,numbers,
images,orcharacters.Computerdataforinstance
isrepresentedintheformof0’sand1’s–thatcan
beinterpretedtoformafactorvalue.
Informationisdatacollatedtoderivemeaningful
inferencesaccordingtoitscontextual
requirement.
Data Definition

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Databases

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Databases are logical structures that are based on
set theory that have relationships based on unique
primary and foreign keys. These links allow
processing of data between tables while holding
the integrity of the data.
Data Science is the study and analysis of data
using methods, processes, and insights that
corresponds to structured or unstructured data.
The difference is that databases are actual objects
and data science are methods, processes that
corresponds to structured or unstructured data.
Data Definition

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Datascienceisaninterdisciplinaryfieldthatuses
scientificmethods,processes,algorithmsand
systemstoextractknowledgeandinsightsfrom
structuredandunstructureddata,andapply
knowledgeandactionableinsightsfromdata
acrossabroadrangeofapplicationdomains.
Data Science Definition

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a"concepttounifystatistics,dataanalysis,
machinelearningandtheirrelatedmethods"in
orderto"understandandanalyzeactual
phenomena"withdata.
Data Science Definition
employstechniquesandtheoriesdrawnfrom
manyfieldswithinthecontextofmathematics,
statistics,computerscience,andinformation
science.

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Data Science

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14
Data Science Definition

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DataScienceandothers
•Statistics
•BigDataAnalytics
•BusinessAnalytics
•BusinessIntelligence
•Data(base)Management
•Visualization
•MachineLearning
•DataMining
•ArtificialIntelligence
•PredictiveModelling
Data Science Definition

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AI Tasks in YouTube:
•Automatically RemovesObjectionable
Content.
•Recommend videos Based On User
Choice.
•Organizing The Content.
How YouTube uses AI:

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Facebook decided to use AI to solve
some of the biggest problems faced by
the company and its users, especially
across seven major categories:
•Hate Speech
•Terrorism
•Nudity
•Graphic Violence
•Spam
•Suicides
•Fake accounts
How Facebook uses AI:

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Facebook researchers develop many
tools to solve those problems:
•DeepText
•Machine Translation
•Automatic Image Recognition
•Chatbots
•Deepfake
•Targeted Ads
How Facebook uses AI(cont.):

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Google uses data science in all its
products:
•DeepText
•Gmail(smart replies-spam detection)
•Google Search (suggestion due to
past searches)
•Google maps(ETA based on analysis
of location ,day of week ,trip time,..)
•Google translate
•Speech Recognition
How Google uses AI:

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BigDataScienceTasks
•Facebooks
•Amazon
•Google
•Linkedln
•Netflix
•Youtube
•Microsoft
Companies Using Data Science

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Roles in Data Science
Data Analyst

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LearningDataSciencewithPython-Libraries
Data Scientist Starter Pack

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LearningDataSciencewithPython-Libraries
Data Scientist Starter Pack

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LearningDataSciencewithPython-Tools
Data Scientist Starter Pack

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1 in 10 Data Scientists has nothing to do with Computer
Science
Data Scientist -Stats

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Data Scientist -Stats

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Data Scientist -Applications

28. IMPACTOFDATASCIENCEONSOCIETY

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1.Datascience
customersin
manner.
helpsbrandstounderstandtheir
amuchenhancedandempowered
2.Itallowsbrandstocommunicatetheirstoryinsuch
a engagingandpowerfulmanner.
3.Big Data is a new field that is constantly growing
andevolving.
Data Science -Importance

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4.Its findings and results can be applied to almost
any sector like travel, healthcare and education
among others.
5.Datascienceisaccessibletoalmostallsectors.
Data Science -Importance

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32. THANK YOU