24 Questions
What type of analytics provides insight from historical data with reporting, score cards, clustering, etc.?
Descriptive analytics
What is the primary goal of data science in the context of natural science?
To investigate the characteristics of data to benefit society
What is the fundamental difference between data and information?
Data is meaningless, while information is meaningful
What is an example of an application that needs data science in the government sector?
Government policies
What is the focus of information science?
Understanding different contexts and circumstances related to data
What is the advantage of studying data science in information schools or iSchools?
Gaining a more nuanced understanding of individual, community, and society-wide phenomena
What is the primary goal of prescriptive analytics?
To recommend decisions using optimization and simulation
What type of analytics involves predictive modeling using statistical and machine learning techniques?
Predictive analytics
What is a primary focus of data science in the twenty-first century?
Accessing information from large databases
What is a key skill required for data scientists?
The ability to visualize and express data
What is the primary goal of business analytics?
To gain insight and be strategic
What is the relationship between data science and computer science?
They are complementary and mutually supportive
How has engineering contributed to data science?
By developing new hardware, such as CPUs and GPUs
What is the primary focus of data visualization?
To express data in a way that is meaningful to others
What is the relationship between data science and engineering?
Engineering has contributed to data science
What is the role of statistics in data science?
To provide a strong foundation for data analysis
What is data science according to Frank Lo?
A multidisciplinary blend of data inference, algorithm development, and technology
What is the main goal of data science?
To solve analytically complex problems
What is the '3V model' in data science?
A model that describes the characteristics of big data
What is the difference between data science and statistics?
Data science is more focused on modern computers, while statistics is more focused on pre-computer data problems
What is the primary activity of data analytics?
Exploring data using various tools and techniques
What is the significance of data science in today's world?
It is a field that is virtually everywhere and has a wide range of applications
Which of the following is an example of a data-driven company?
Amazon
What is the primary focus of data science?
Deriving insights from data to make better decisions
Study Notes
Types of Analytics
- Decision analytics: supports decision-making with visual analytics that reflect reasoning
- Descriptive analytics: provides insight from historical data with reporting, scorecards, clustering, etc.
- Predictive analytics: employs predictive modeling using statistical and machine learning techniques
- Prescriptive analytics: recommends decisions using optimization, simulation, etc.
Data Science, Social Science, and Computational Social Science
- Data science is used in government policies, people's mandates in elections, and hiring strategies in the private sector
- Information science involves understanding information in different contexts and circumstances related to data creation, generation, and sharing
Information vs. Data
- Data is something raw and meaningless, while information is data with meaning and purpose
- An example of data vs. information is the number "480,000" being a data point, but when explained as the number of deaths per year in the USA from cigarette smoking, it becomes information
Data Science and Statistics
- Data scientists should have at least three basic skills: knowledge of statistics, computer science skills, and data visualization skills
- The difference between data science and statistics lies in the invention and advancements of modern computers
Data Science and Computer Science
- Data science and computer science overlap and are mutually supportive
- Computer science algorithms and techniques, such as machine learning and data visualization, have contributed to the data science discipline
Data Science and Engineering
- Engineering in various fields has created demand for data scientists and data science methods
- Data science has benefitted from new software and hardware developed via engineering, such as CPU and GPU
Data Science and Business Analytics
- Business analytics (BA) refers to the skills, technologies, and practices for continuous iterative exploration and investigation of past and current business performance
- BA focuses on developing new perspectives and making sense of performance based on data and statistics
- There are four types of analytics: descriptive, predictive, prescriptive, and decision analytics
Data Science Definition and Importance
- Data science is a multidisciplinary blend of data inference, algorithm development, and technology to solve analytically complex problems
- Data science is a field of study and practice that involves the collection, storage, and processing of data to derive important insights and make better, fact-based decisions
- The "3V model" describes the characteristics of big data: velocity, volume, and variety
- Data science is important now because it is virtually everywhere, and its applications are numerous, including finance, public policy, politics, healthcare, urban planning, education, and libraries
This quiz covers the different types of analytics, including decision, descriptive, predictive, and prescriptive analytics, as well as their applications in data science and social science.
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