Warsaw, Poland

Advanced Analytics – Big Data

Bachelor's
Table of contents

⇑Advanced Analytics – Big Data at SGH

Language: EnglishStudies in English
Subject area: computer science
Kind of studies: full-time studies
University website: ssl-www.sgh.waw.pl/en

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

Advanced-Analytics-Big-Data-test-happy-successful-family-business-partners-cooperating-on-fin

10 questions · two minutes

1. Your favourite music app keeps suggesting songs that are spot on. What do you make of it?

2. How do you get on with maths, especially statistics and probability?

3. You’re given a file with a million rows of data on purchases from an online shop. What do you do?

4. Have you tried coding – writing simple scripts or solving puzzles on coding challenge sites?

5. You’ll read documentation and articles in English and work on analytics projects with people from different countries. How do you feel about that?

6. You read that on days when more ice cream is sold, more people drown. What do you conclude?

7. You need to present survey results to your class. How do you do it?

8. Some of the answers in your data are blank and others look wrong. What do you do?

9. Should business decisions rely more on data or on gut feeling?

10. What motivates you most to study Advanced Analytics – Big Data?

⇑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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