Warsaw, Poland

Data Analytics, Big Data and Coding
(field of studies: Management)

Bachelor's
Table of contents
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⇑Data Analytics, Big Data and Coding at Civitas

Field of studies: Management
Language: EnglishStudies in English
Subject area: computer science
Kind of studies: full-time studies
  • Description:

  • pl
University website: www.civitas.edu.pl/en/

⇑Test: Is Data Analytics, Big Data and Coding the right fit for you?

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10 questions · two minutes

1. You download a year of your music listening history as a spreadsheet. What do you do with it?

2. Have you ever tried writing code, for example in Python?

3. You have millions of records – far too many for a spreadsheet. How do you feel?

4. Your code gives the wrong total and you can’t see why. What do you do?

5. A friend shares a viral chart that supposedly proves something surprising. How do you react?

6. The programme is taught in English, and you’ll code and analyse data in teams with students from many countries. How do you feel about that?

7. How do you feel about maths, especially probability and statistics?

8. A student club asks you to build a dashboard showing attendance at its events. Would you do it?

9. A streaming service recommends exactly the kind of series you like. Do you wonder how it works?

10. What motivates you most to study Data Analytics, Big Data and Coding?

⇑Definitions and quotes

Analytics
Analytics is the discovery, interpretation, and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance.
Big Data
Big data is data sets that are so voluminous and complex that traditional data-processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. There are a number of concepts associated with big data: originally there were 3 concepts volume, variety, velocity. Other concepts later attributed with big data are veracity (i.e., how much noise is in the data) and value.
Data
Data ( DAY-tə, DAT-ə, DAH-tə) is a set of values of qualitative or quantitative variables.

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