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Lecture notes

Data Science DEP summary

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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 of Twente. The course is also followed by other studies.

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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

Connected book
 image
Christian S. Jensen, Torben Bach Pedersen Multidimensional Databases and Data Warehousing
Publisher: Unknown ISBN: 9781608455379 Edition: Unknown

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