Statistics

• What is the definition of data science?

  No exact definition exists
• At what intersection does data science lie?

  Statistical and computational sciences
• What is the concept shared by data mining and big data?

  Use of powerful hardware and algorithms
• What does data science synthesize according to Cao (2017)?


  Statistics, informatics, computing, communication, management, sociology
• What is the primary use of data science?

  To make decisions and predictions
• What is the center of data science?

  Data, especially Big Data
• What is the purpose of data science?

  To obtain knowledge for better decisions
• How is data science described as a field?

  Multidisciplinary with applied theories
• How do some view the distinction between data science and statistics?

  Many see no distinction
• Who believes data science is statistics?

  Karl Broman
• What does Nate Silver think about the term "data scientist"?

  It is an attractive term for a statistician
• What does Andrew Gelman emphasize about data science?

  Statistics is not the most important part
• How does Vasant Dhar view data science?

  It seeks actionable patterns for predictions
• What are the components of a data scientist's role?

  Mathematician, computer scientist, trend-spotter
• Why are data scientists sought after by businesses?

  They can manipulate raw data into useful information
• What tasks must a data scientist be able to perform?

  • Collect and transform messy data
  • Solve business-related problems
  • Work with programming languages (SAS, R, Python)
  • Grasp statistics, tests, and distributions
  • Learn analytical techniques (machine learning, deep learning)
  • Spot trends and patterns in data
  • Communicate with IT and business
• What is R used for?

  Statistical computing and graphics
• What are the features of R?

  Free, extensible, runs on various OS
• Who developed Python?

  Guido van Rossum
• What are the characteristics of Python?

  Object-oriented, interpreted, interactive
• What is SAS used for?

  Statistical analysis tool
• What is a key feature of SAS?

  Leading tool in commercial analytics
• What is a drawback of SAS?

  It is the most expensive language
• What are the differences between R, Python, and SAS?

  • R: Statistical computing and graphics, free, extensible
  • Python: Object-oriented, interpreted, interactive, clear syntax
  • SAS: Statistical analysis tool, leading in commercial analytics, expensive
• Statistics is the collecting, organizing, presenting, analyzing, and interpreting of data