Podcast
Questions and Answers
What percentage of the total grade is allocated to the final exam?
What percentage of the total grade is allocated to the final exam?
Which of the following elements is not categorized as operational data?
Which of the following elements is not categorized as operational data?
What is the purpose of data mining?
What is the purpose of data mining?
Which of the following is considered metadata?
Which of the following is considered metadata?
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What is the primary distinction between data and information?
What is the primary distinction between data and information?
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In the context of data warehouses, what does OLAP stand for?
In the context of data warehouses, what does OLAP stand for?
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Which of the following is an example of pattern matching?
Which of the following is an example of pattern matching?
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What can information analysis of retail sales data help determine?
What can information analysis of retail sales data help determine?
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Study Notes
Course Information
- Course: Data Science
- University: Alexandria University
- Lecture: 1
Grading Breakdown
- Assignment 1: 2.5 points, Week 4
- Quiz 1: 2.5 points, Week 6
- Midterm Exam: 20 points, Week 8
- Assignment 2: 2.5 points, Week 11
- Quiz 2: 2.5 points, Week 12
- Practical Exam: 10 points, Week 14
- Final Project: 10 points, Week 14
- Final Exam: 50 points, Week 15-16
- Total Points: 100
Data in the Modern Era
- Data is abundant, organizations collect vast amounts of data
- Data exists in varied formats and databases
Data Types
- Operational/Transactional Data: Sales, costs, inventory, payroll, accounting
- Non-Operational Data: Industry sales, forecasts, macroeconomic data
- Meta Data: Data about the data itself, like database design, data dictionary definitions
Data Analysis and Processing
- Data warehouse and OLAP
- Indexing, Searching, and Querying
- Keyword-based searches
- Pattern matching (e.g., XML/RDF)
- Knowledge discovery
- Data mining
- Statistical modeling
Data and its Transformation
- Data is the new oil, signifying its crucial role
- The vast quantity of data, combined with advances in technology, is revolutionizing many aspects of modern life
Cognitive Computing
- Humans expect systems to emulate human behavior
- Systems should adapt to changes in information and goals
- Systems need to be interactive, smoothly engaging with other systems and humans
- Systems need to understand context to extract deeper meaning and use multiple information sources
More Data About Cognitive Computing
- Processing large uncertain data sets (text, speech, sensors, images)
Examples of Data Usage
- Streaming an episode of Game of Thrones (2.8 GB of data)
- Listening to music (40 MB)
- Using Instagram (100 MB)
- Keeping up with a television show (1.4 GB)
Studying That Suits You
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Description
Test your knowledge on the fundamentals of Data Science as covered in Lecture 1. This quiz focuses on data types, data analysis, and processing methods essential for understanding data in the modern era. Perfect for students at Alexandria University.
