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Data Science DEP summary

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  • Course
  • Data Science (201400174)
  • Institution
  • Universiteit Twente (UT)
  • Book
  • Multidimensional Databases and Data Warehousing

Brief summary of Data Science lectures focusing on the Data Exploration and Preparation section and adding a few from chapter 2 of the book Multidimensional Databases and Data Warehousing. Can be used for the Data Science course, studied Business Administration and Health Sciences at the University...

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Document information

  • October 26, 2023
  • 8
  • 2023/2024
  • Class notes
  • Data science professors
  • All classes

Subjects

  • university of twente
  • university of twente
  • ut
  • business administration
  • ba
  • data science
  • ds
  • health sciences
  • health sciences

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  • Universiteit Twente (UT)
  • Business Administration
  • Data Science (201400174)
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Data Science DEP
Lecture notes and some additional info from the suggested book chapter

Suggested book chapter: C.S. Jensen, T.B. Pedersen, C. Thomsen, "Fundamental
Concepts". Chapter 2 in "Multidimensional Databases and Data Warehousing".
2010. Morgan & Claypool. ISBN 978-1608455379.

, How to get insights from data
1. Formulate “questions to data”
2. Imagine visualizations/reports
3. Design star schema(s) for cube(s) by analyzing (1) and (2) for fact(s) and dimensions
4. Create (empty) database with schema
5. Fill database by transforming sources
6. Use: Analytics or (Predictive) modeling by connecting to the database

How to go from sources to senses: Transform (re-shape) sources into cubes in a database
(DMBS, safe space) and access (connect) through visualization environment and analytical
applications

Data science process
1. Sources
2. Prepare
3. Analyze
4. Use

Sources
1. Information systems
2. Sensors
3. Internet
4. Social media

Prepare
1. Search
2. Harvest
3. Combine
4. Transform
5. Clean

Analyze
1. Machine learning
2. Mining
3. Visualize

Use
1. Interpret
2. Deploy
3. Decide
4. Monitor

* Data preparation and cleaning is 80% of scientists time

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