Data Science course - lecture 2

Data science course for beginner

Transcript

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
18. Data_Science_lecture2_by_Doaa_Mohey 18