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Presented by:
Doaa Mohey Eldin
PhD researcher in information Systems
Faculty of Computers and Artifical intelligence – Cairo University
IEEE Society Member
d.mohey2020@gmail.com
Agenda
• Introduction of Data Science
• Data Science in Industry.
• Data Science in Industry fields.
• Data Science Career Opportunities
• How Benefit Data Science in Business?
• Data science in Industry Fields.
• Data Science in applications
– IBM - smart health - Facebook - TripAdvisor
– Google - smart Traffic - Netflix
• Conclusion Data_Science_lecture2_by_Doaa_Mohey 2
Introduction of Data Science
• Data Science is the field of study which involves
extracting insights from big amounts of data
• The main scientific methods, algorithms, and
concepts for Data Science are:
– Statistics,
– Visualization,
– Deep Learning,
– Machine Learning.
• Data Science Process goes through Discovery, Data
Preparation, Model Planning, Model Building,
Operationalize, Communicate Results.
Data_Science_lecture2_by_Doaa_Mohey 3
Data Science in Industry
• Every industry is looking for smart solutions to
real world challenges using data science.
• Data Science can present answers for
problems in various domains.
• Data science becomes a twin solution for user
and customer in meet their needs.
Data_Science_lecture2_by_Doaa_Mohey 4
Data Science in Industry
• Industry requires deep experience in interpreting
data to improve decision making.
• It requires using many techniques for understanding
business or people behavior and the structure of
the data.
• It support opening job opportunities for data
scientists, data analyst, data architect, or data
engineer.
Data_Science_lecture2_by_Doaa_Mohey 5
Data Science Career Opportunities
Data_Science_lecture2_by_Doaa_Mohey 6
How benefit Data science in business?
Data_Science_lecture2_by_Doaa_Mohey 7
Data Science in Industry Fields
Data_Science_lecture2_by_Doaa_Mohey
Data science in
Industry Fields
Companies
Various
domains
Finance
Economic
IBM
Google
Movies Netflix
Tourism TripAdvisor
Social
networks
Facebook
Twitter
Smart
Environments
Smart health
Smart Traffic
Smart Home
8
DATA SCIENCE APPLICATIONS
Data_Science_lecture2_by_Doaa_Mohey 9
Applications
Requirements
Objects
One or more
users
Data science
Data Science in IBM
Data_Science_lecture2_by_Doaa_Mohey
• Predictive finance analysis, courses,
products
• Classify users
• Optimize decisions in buying and
selling
IBM
10
Data Science in Google
Data_Science_lecture2_by_Doaa_Mohey
Data
Science
Recommen
dation
system
Advertising
finance
analysis
system
Classifying
data
Classifying
objects
11
Data Science in Smart Healthcare
Smart
Health
Surgical
application
Monitoring
patients
Predicting
diseases
Data_Science_lecture2_by_Doaa_Mohey 12
Data Science in Smart Traffic
Managing
light
Managing parking
or congestion
points
Managing
Traffic roads
or outliers
Data_Science_lecture2_by_Doaa_Mohey 13
Data Science in Facebook
Data_Science_lecture2_by_Doaa_Mohey
Predicting
profit
Classifying
users
Making ads
& search
systems
Detecting
community
14
Data Science in Netflix
Data_Science_lecture2_by_Doaa_Mohey
Predicting
profit
Classifying
movies
NetFLIX
Predicting
rates
15
Data Science in TripAdvisor
Data_Science_lecture2_by_Doaa_Mohey
Trip
Advisor
Classifying
best
places
Sentiment
reviews
analysis
Predicting
Trips &
places
16
Conclusion
• Data science can interpret data and recognize
behavioral of data.
• The essential applications of Data science are:
1. Internet Search
2. Recommendation Systems
3. Image & Speech Recognition
4. Gaming world
5. Online Price Comparison.
• The biggest problem of Data Science technology
is big data and high variety it.
Data_Science_lecture2_by_Doaa_Mohey 17
Data_Science_lecture2_by_Doaa_Mohey 18

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Data science lecture2_doaa_mohey

  • 1. Presented by: Doaa Mohey Eldin PhD researcher in information Systems Faculty of Computers and Artifical intelligence – Cairo University IEEE Society Member d.mohey2020@gmail.com
  • 2. Agenda • Introduction of Data Science • Data Science in Industry. • Data Science in Industry fields. • Data Science Career Opportunities • How Benefit Data Science in Business? • Data science in Industry Fields. • Data Science in applications – IBM - smart health - Facebook - TripAdvisor – Google - smart Traffic - Netflix • Conclusion Data_Science_lecture2_by_Doaa_Mohey 2
  • 3. Introduction of Data Science • Data Science is the field of study which involves extracting insights from big amounts of data • The main scientific methods, algorithms, and concepts for Data Science are: – Statistics, – Visualization, – Deep Learning, – Machine Learning. • Data Science Process goes through Discovery, Data Preparation, Model Planning, Model Building, Operationalize, Communicate Results. Data_Science_lecture2_by_Doaa_Mohey 3
  • 4. Data Science in Industry • Every industry is looking for smart solutions to real world challenges using data science. • Data Science can present answers for problems in various domains. • Data science becomes a twin solution for user and customer in meet their needs. Data_Science_lecture2_by_Doaa_Mohey 4
  • 5. Data Science in Industry • Industry requires deep experience in interpreting data to improve decision making. • It requires using many techniques for understanding business or people behavior and the structure of the data. • It support opening job opportunities for data scientists, data analyst, data architect, or data engineer. Data_Science_lecture2_by_Doaa_Mohey 5
  • 6. Data Science Career Opportunities Data_Science_lecture2_by_Doaa_Mohey 6
  • 7. How benefit Data science in business? Data_Science_lecture2_by_Doaa_Mohey 7
  • 8. Data Science in Industry Fields Data_Science_lecture2_by_Doaa_Mohey Data science in Industry Fields Companies Various domains Finance Economic IBM Google Movies Netflix Tourism TripAdvisor Social networks Facebook Twitter Smart Environments Smart health Smart Traffic Smart Home 8
  • 9. DATA SCIENCE APPLICATIONS Data_Science_lecture2_by_Doaa_Mohey 9 Applications Requirements Objects One or more users Data science
  • 10. Data Science in IBM Data_Science_lecture2_by_Doaa_Mohey • Predictive finance analysis, courses, products • Classify users • Optimize decisions in buying and selling IBM 10
  • 11. Data Science in Google Data_Science_lecture2_by_Doaa_Mohey Data Science Recommen dation system Advertising finance analysis system Classifying data Classifying objects 11
  • 12. Data Science in Smart Healthcare Smart Health Surgical application Monitoring patients Predicting diseases Data_Science_lecture2_by_Doaa_Mohey 12
  • 13. Data Science in Smart Traffic Managing light Managing parking or congestion points Managing Traffic roads or outliers Data_Science_lecture2_by_Doaa_Mohey 13
  • 14. Data Science in Facebook Data_Science_lecture2_by_Doaa_Mohey Predicting profit Classifying users Making ads & search systems Detecting community 14
  • 15. Data Science in Netflix Data_Science_lecture2_by_Doaa_Mohey Predicting profit Classifying movies NetFLIX Predicting rates 15
  • 16. Data Science in TripAdvisor Data_Science_lecture2_by_Doaa_Mohey Trip Advisor Classifying best places Sentiment reviews analysis Predicting Trips & places 16
  • 17. Conclusion • Data science can interpret data and recognize behavioral of data. • The essential applications of Data science are: 1. Internet Search 2. Recommendation Systems 3. Image & Speech Recognition 4. Gaming world 5. Online Price Comparison. • The biggest problem of Data Science technology is big data and high variety it. Data_Science_lecture2_by_Doaa_Mohey 17