Warsaw, Poland

Big Data Analytics
(field of studies: Informatics and Econometrics)

Master's
Table of contents

⇑Big Data Analytics at SGGW

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

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

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

Big-Data-Analytics-Masters-test-two-stock-brokers-is-working-together-in-the-office-with-fin

10 questions · two minutes

1. During an internship you’re handed a dataset so large that your spreadsheet grinds to a halt. What do you do?

2. How would you rate your programming skills, say in Python or SQL, after your Bachelor’s?

3. Your model performs brilliantly on the test data but poorly on new data. How do you respond?

4. You’re working on a joint project with people from several countries – the documentation, code reviews and meetings are all in English. How do you find it?

5. A manager asks you for “a dashboard with all the data”. What do you do?

6. The data comes from many sources, in different formats and with plenty of gaps. How do you feel about cleaning it?

7. The data you’re analysing contains information about customers. What’s the first thing on your mind?

8. In a huge dataset you spot a strong correlation between two variables. What do you conclude?

9. How do you learn new data processing tools?

10. What motivates you most to pursue a Master’s degree in Big Data Analytics?

⇑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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