Podcast
Questions and Answers
According to the lecture, what analogy is used to emphasize the value and importance of data in the modern era?
According to the lecture, what analogy is used to emphasize the value and importance of data in the modern era?
- Data is the new gold
- Data is the new electricity
- Data is the new water
- Data is the new oil (correct)
Which of the following is NOT explicitly mentioned as a source where large amounts of data are being collected and warehoused?
Which of the following is NOT explicitly mentioned as a source where large amounts of data are being collected and warehoused?
- Online trading and purchasing activities
- Government surveillance systems (correct)
- Web data and e-commerce platforms
- Financial and credit transactions
What is typically expected of cognitive computing systems in terms of their interaction with humans?
What is typically expected of cognitive computing systems in terms of their interaction with humans?
- To minimize data processing to conserve energy
- To operate strictly based on pre-programmed rules
- To replace human interaction entirely for efficiency
- To mimic human behavior and interact seamlessly (correct)
In the context of cognitive computing, which attribute enables systems to learn from new information and adjust to changing objectives?
In the context of cognitive computing, which attribute enables systems to learn from new information and adjust to changing objectives?
What is the significance of the 'contextual' aspect of cognitive computing?
What is the significance of the 'contextual' aspect of cognitive computing?
According to the lecture, what is the relationship between cognitive computing and data science?
According to the lecture, what is the relationship between cognitive computing and data science?
What is Online Analytical Processing (OLAP) used for in the realm of data analysis?
What is Online Analytical Processing (OLAP) used for in the realm of data analysis?
Which of the following exemplifies 'operational or transactional' data?
Which of the following exemplifies 'operational or transactional' data?
What is the primary characteristic of 'non-operational' data as it relates to organizational data?
What is the primary characteristic of 'non-operational' data as it relates to organizational data?
What is considered to be 'meta data'?
What is considered to be 'meta data'?
How can 'information' be derived from data, according to the lecture?
How can 'information' be derived from data, according to the lecture?
Based on the lecture, what enables the conversion of information into knowledge?
Based on the lecture, what enables the conversion of information into knowledge?
According to the lecture, what practical application does knowledge discovery have in the retail sector?
According to the lecture, what practical application does knowledge discovery have in the retail sector?
Which of the following is a direct application of extracting 'information' from the analysis of retail point of sale transaction data?
Which of the following is a direct application of extracting 'information' from the analysis of retail point of sale transaction data?
What action can a retailer take, based on knowledge derived from analyzing supermarket sales in relation to promotional efforts?
What action can a retailer take, based on knowledge derived from analyzing supermarket sales in relation to promotional efforts?
What is required when processing large amounts of uncertain data with cognitive computing?
What is required when processing large amounts of uncertain data with cognitive computing?
How do cognitive and data science facilitate the behavior of smarter people's personal devices and systems?
How do cognitive and data science facilitate the behavior of smarter people's personal devices and systems?
Based on the context, what is indexing used for?
Based on the context, what is indexing used for?
In the context of the lecture, which is considered information?
In the context of the lecture, which is considered information?
What can information be converted into?
What can information be converted into?
Flashcards
What is Data?
What is Data?
Facts, numbers, or text that can be processed by a computer. Organizations accumulate vast amounts in different formats/databases.
Operational/Transactional Data
Operational/Transactional Data
Data related to the operation of a business, such as sales, cost, inventory, payroll, and accounting data.
Nonoperational Data
Nonoperational Data
Data that is not directly related to the daily operations of a business, such as industry sales, forecast data, and macroeconomic data.
Meta Data
Meta Data
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What is Information?
What is Information?
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What is Knowledge?
What is Knowledge?
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Data Mining
Data Mining
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Cognitive Computing
Cognitive Computing
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Study Notes
- Data Science Introduction
Course Assessment Breakdown:
- Assignment 1 is due in Week 4 and is worth 2.5 points.
- Quiz 1 is in Week 6 and accounts for 2.5 points.
- The Midterm exam takes place in Week 8 and is worth 20 points.
- Assignment 2 is scheduled for Week 11 and is also worth 2.5 points.
- Quiz 2 will be in Week 12, contributing 2.5 points to the grade.
- The Practical exam is in Week 14 and is worth 10 points.
- The Final Project is due in Week 14 and is worth 10 points.
- The Final exam is scheduled for Weeks 15-16 and is worth 50 points.
- The total points for the course add up to 100.
The Value of Data:
- Data is considered the new "oil".
Data Sources:
- Web data and e-commerce platforms are sources of data.
- Financial, banking, and credit transactions generate substantial data.
- Online trading and purchasing activities contribute to the data pool.
- Social networks are significant sources of data.
- A lot of data is actively being collected and warehoused.
Data Utility:
- Data can be used for aggregation and statistical analysis.
- Data warehousing and OLAP (Online Analytical Processing) are applications of data.
- Indexing, searching, and querying are performed on data.
- Data enables keyword-based searches.
- Pattern matching, like XML/RDF, can be performed on data.
- Knowledge discovery is a capability derived from data.
- Data facilitates data mining processes.
- Statistical modeling is conducted using data.
Data Defined:
- Data consists of facts, numbers, or text processable by a computer.
- Organizations accumulate vast amounts of data in different formats and in different databases.
- Operational or transactional data includes sales, cost, inventory, payroll, and accounting information.
- Nonoperational data includes industry sales, forecast data, and macro-economic data.
- Meta data defines data about the data itself, like logical database design or data dictionary definitions.
Information Defined:
- Information surfaces from the patterns, associations, or relationships found in data.
- Analyzing retail point of sale transaction data provides information on which products sell, and when.
Knowledge Defined:
- Knowledge comes from the conversion of information, revealing historical patterns and future trends.
- Analyzing retail supermarket sales data, in relation to promotional efforts, gives insight into consumer buying behavior.
- Manufacturers or retailers can use that determination to identify items susceptible to promotional efforts.
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