Warsaw, Poland

Data Engineering and Analysis

Inżynieria i analiza danych

Bachelor's - engineer
Table of contents

Data Engineering and Analysis at PW Warszawa

Language: PolishStudies in Polish
Subject area: computer science
Kind of studies: full-time studies
University website: www.pw.edu.pl/engpw

Test: check whether Data Engineering and Analysis is the right major for you!

Inżynieria i analiza danych test

1. Do you enjoy working with large datasets and extracting meaningful insights from raw information?

2. Are you interested in learning programming (e.g., Python, SQL) to manipulate, clean, and transform data?

3. Do you enjoy solving structured problems and designing pipelines or systems that process information reliably?

4. Are you curious about how databases work and want to learn how to model, store, and query data efficiently?

5. Do you want to understand and apply statistical methods to validate insights and support data-driven decisions?

6. Are you interested in the infrastructure side—building scalable data pipelines, handling real-time streams, or working with cloud platforms?

7. Do you care about data quality, cleaning, and ensuring that the information others use is accurate and trustworthy?

8. Are you interested in communicating findings—translating technical results into actionable recommendations for others?

9. Are you mindful of ethical issues around data privacy, bias, and responsible usage?

10. Do you enjoy continuous learning, adapting to new tools, languages, and evolving data technologies?

Definitions and quotes

Analysis
Analysis is the process of breaking a complex topic or substance into smaller parts in order to gain a better understanding of it. The technique has been applied in the study of mathematics and logic since before Aristotle (384–322 B.C.), though analysis as a formal concept is a relatively recent development.
Data
Data ( DAY-tə, DAT-ə, DAH-tə) is a set of values of qualitative or quantitative variables.
Engineering
Engineering is the creative application of science, mathematical methods, and empirical evidence to the innovation, design, construction, operation and maintenance of structures, machines, materials, devices, systems, processes, and organizations. The discipline of engineering encompasses a broad range of more specialized fields of engineering, each with a more specific emphasis on particular areas of applied mathematics, applied science, and types of application. See glossary of engineering.
Engineering
A good scientist is a person with original ideas. A good engineer is a person who makes a design that works with as few original ideas as possible. There are no prima donnas in engineering.
Freeman Dyson in Freeman J. Dyson. Disturbing the universe. Harper & Row. ISBN 978-0-06-090771-6. 
Analysis
Analysis and natural philosophy owe their most important discoveries to this fruitful means, which is called induction. Newton was indebted to it for his theorem of the binomial and the principle of universal gravity.
Laplace, A Philosophical Essay on Probabilities, [Truscott and Emory] (New York 1902), p. 176.
Analysis
The terms synthesis and analysis are used in mathematics in a more special sense than in logic. In ancient mathematics they had a different meaning from what they now have. The oldest definition of mathematical analysis as opposed to synthesis is that given in Euclid, XIII. 5, which in all probability was framed by Eudoxus: "Analysis is the obtaining of the thing sought by assuming it and so reasoning up to an admitted truth; synthesis is the obtaining of the thing sought by reasoning up to the inference and proof of it."
Florian Cajori, A History of Mathematics (1893). p. 30
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