Łódź, Poland

Mathematical Methods in Data Analysis

Bachelor's - engineer
Table of contents
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⇑Mathematical Methods in Data Analysis at PŁ

Language: EnglishStudies in English
Subject area: mathematics and statistics
Kind of studies: full-time studies
University website: www.p.lodz.pl/en

⇑Test: Is Mathematical Methods in Data Analysis the right fit for you?

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10 questions · two minutes

1. You receive a dataset full of missing values and strange outliers. What’s your first step?

2. How do you feel about the theory behind data methods – linear algebra, probability and proofs?

3. How do you feel about programming in Python or R to analyse data?

4. A medical test is described as very accurate, but the disease is rare. Does a positive result mean you’re ill?

5. You need to show your findings to people who don’t like numbers. What do you do?

6. How would you feel about building a model that predicts, for example, energy demand from weather and calendar data?

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

8. You spot a chart in the news with a misleading scale. How do you react?

9. How do you feel about optimisation problems – finding the best route, schedule or allocation?

10. What motivates you most to study Mathematical Methods in Data Analysis?

⇑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.
Data Analysis
Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.
Analysis
Fortunately analysis is not the only way to resolve inner conflicts. Life itself still remains a very effective therapist... The therapy effected by life itself is not, however, within one's control. Neither hardships nor friendships nor religious experience can be arranged to meet the needs of the particular individual. Life as a therapist is ruthless; circumstances that are helpful to one neurotic may entirely crush another.
Karen Horney Our Inner Conflicts (1945)
Analysis
Now analysis is of two kinds, the one directed to searching for the truth and called theoretical, the other directed to finding what we are told to find and called problematical. (1) In the theoretical kind we assume what is sought as if it were existent and true, after which we pass through its successive consequences, as if they too were true and established by virtue of our hypothesis, to something admitted: then (a), if that something admitted is true, that which is sought will also be true and the proof will correspond in the reverse order to the analysis, but (b), if we come upon something admittedly false, that which is sought will also be false. (2) In the problematical kind we assume that which is propounded as if it were known, after which we pass through its successive consequences, taking them as true, up to something admitted: if then (a) what is admitted is possible and obtainable, that is, what mathematicians call given, what was originally proposed will also be possible, and the proof will again correspond in reverse order to the analysis, but if (b) we come upon something admittedly impossible, the problem will also be impossible.
Pappus, (c. 330 AD) as quoted by Thomas Little Heath, The Thirteen Books of Euclid's Elements (1908) Vol. 1, Ch. IX. §6.
Analysis
The investigation of difficult things by the method of analysis ought ever to precede the method of composition.
Isaac Newton, reported in Austin Allibone ed. Prose Quotations from Socrates to Macaulay. (1903), p. 34
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