Company Internship (Advanced Analitycs - Big Data)
Informacje ogólne
Kod przedmiotu: | 250061-D |
Kod Erasmus / ISCED: |
11.3
|
Nazwa przedmiotu: | Company Internship (Advanced Analitycs - Big Data) |
Jednostka: | Szkoła Główna Handlowa w Warszawie |
Grupy: |
Praktyki zawodowe - studia magisterskie Praktyki zawodowe - studia magisterskie stacjonarne |
Punkty ECTS i inne: |
3.00 (zmienne w czasie)
|
Język prowadzenia: | angielski |
Efekty uczenia się: |
Wiedza: Student should: 1. Know the operations of an entity/institution and its related sector, as well as the immediate surrounding and their operating conditions Student should: 2. Have the knowledge of identifying and obtaining data sources (structural and non-structural), depending on various business goals. Student should: 3. Know the rules of constructing and monitoring an analytical process and the quality of analytical models? implementation. Umiejętności: The student should 1. Be able to identify the data sources in the context of particular business goals The student should 2. Be able to obtain data from various sources (including large data sets), integrate them, and implement a process of data analysis using data visualization tools in a selected analytical environment The student should 3. Be able to independently build and implement an analytical model supporting the resolution of a business issue in a selected environment Kompetencje społeczne: The student should: 1. Be aware of the importance of team work and the responsibility for his work, as well as the work of other team members, in achieving success 2. Be able to successfully present (communicate) the results of their analyses to specialists and governing bodies The student should: 3. Have the ability to update the knowledge obtained during their studies with elements necessary to solve business problems of a given company/institution |
Zajęcia w cyklu "Semestr letni 2024/25" (w trakcie)
Okres: | 2025-02-15 - 2025-09-30 |
Przejdź do planu
PN WT ŚR CZ PT |
Typ zajęć: |
Praktyka, 90 godzin
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|
Koordynatorzy: | (brak danych) | |
Prowadzący grup: | (brak danych) | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Zaliczenie
Praktyka - Zaliczenie |
|
Skrócony opis: |
Developing the ability to utilize in practice the theoretical knowledge of data analysis and Big Data obtained in the course of studies. In particular identifying and reaching the institutions? data bases, evaluating their potential use for modeling and analysis of the institutions? business tasks and improving their teamwork skills. The internship program should allow the student to verify the usability of their theoretical knowledge (soft and hard skills) in practice. .. |
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Pełny opis: |
A. The main goal of internship is the developments of the student? ability to utilize the theoretical knowledge of data analysis and Big Data in practice. In particular the student should familiarize himself with the functioning of a given organization ? company or institution ? where their internship is taking place; be able to identify the data sources available in this institution, determine and evaluate their usefulness and viability in the context of the institution?s needs and business goals, improve his skills in data base analysis, modeling and diagnosing in order to solve sample analytical tasks (projects), as well as develop personality traits related to work, such as responsibility, work ethics and teamwork skills. |
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Literatura: |
Literatura podstawowa: ... Literatura uzupełniająca: ... |
|
Uwagi: |
Kryteria oceniania: inne: 100.00% |
Zajęcia w cyklu "Semestr zimowy 2024/25" (zakończony)
Okres: | 2024-10-01 - 2025-02-14 |
Przejdź do planu
PN WT ŚR CZ PT |
Typ zajęć: |
Praktyka, 90 godzin
|
|
Koordynatorzy: | (brak danych) | |
Prowadzący grup: | (brak danych) | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Zaliczenie
Praktyka - Zaliczenie |
|
Skrócony opis: |
Developing the ability to utilize in practice the theoretical knowledge of data analysis and Big Data obtained in the course of studies. In particular identifying and reaching the institutions? data bases, evaluating their potential use for modeling and analysis of the institutions? business tasks and improving their teamwork skills. The internship program should allow the student to verify the usability of their theoretical knowledge (soft and hard skills) in practice. .. |
|
Pełny opis: |
A. The main goal of internship is the developments of the student? ability to utilize the theoretical knowledge of data analysis and Big Data in practice. In particular the student should familiarize himself with the functioning of a given organization ? company or institution ? where their internship is taking place; be able to identify the data sources available in this institution, determine and evaluate their usefulness and viability in the context of the institution?s needs and business goals, improve his skills in data base analysis, modeling and diagnosing in order to solve sample analytical tasks (projects), as well as develop personality traits related to work, such as responsibility, work ethics and teamwork skills. |
|
Literatura: |
Literatura podstawowa: ... Literatura uzupełniająca: ... |
|
Uwagi: |
Kryteria oceniania: inne: 100.00% |
Zajęcia w cyklu "Semestr letni 2023/24" (zakończony)
Okres: | 2024-02-24 - 2024-09-30 |
Przejdź do planu
PN WT ŚR CZ PT |
Typ zajęć: |
Praktyka, 90 godzin
|
|
Koordynatorzy: | (brak danych) | |
Prowadzący grup: | (brak danych) | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Zaliczenie
Praktyka - Zaliczenie |
|
Skrócony opis: |
Developing the ability to utilize in practice the theoretical knowledge of data analysis and Big Data obtained in the course of studies. In particular identifying and reaching the institutions? data bases, evaluating their potential use for modeling and analysis of the institutions? business tasks and improving their teamwork skills. The internship program should allow the student to verify the usability of their theoretical knowledge (soft and hard skills) in practice. .. |
|
Pełny opis: |
A. The main goal of internship is the developments of the student? ability to utilize the theoretical knowledge of data analysis and Big Data in practice. In particular the student should familiarize himself with the functioning of a given organization ? company or institution ? where their internship is taking place; be able to identify the data sources available in this institution, determine and evaluate their usefulness and viability in the context of the institution?s needs and business goals, improve his skills in data base analysis, modeling and diagnosing in order to solve sample analytical tasks (projects), as well as develop personality traits related to work, such as responsibility, work ethics and teamwork skills. |
|
Literatura: |
Literatura podstawowa: ... Literatura uzupełniająca: ... |
|
Uwagi: |
Kryteria oceniania: inne: 100.00% |
Zajęcia w cyklu "Semestr zimowy 2023/24" (zakończony)
Okres: | 2023-10-01 - 2024-02-23 |
Przejdź do planu
PN WT ŚR CZ PT |
Typ zajęć: |
Praktyka, 90 godzin
|
|
Koordynatorzy: | (brak danych) | |
Prowadzący grup: | (brak danych) | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Zaliczenie
Praktyka - Zaliczenie |
|
Skrócony opis: |
Developing the ability to utilize in practice the theoretical knowledge of data analysis and Big Data obtained in the course of studies. In particular identifying and reaching the institutions? data bases, evaluating their potential use for modeling and analysis of the institutions? business tasks and improving their teamwork skills. The internship program should allow the student to verify the usability of their theoretical knowledge (soft and hard skills) in practice. .. |
|
Pełny opis: |
A. The main goal of internship is the developments of the student? ability to utilize the theoretical knowledge of data analysis and Big Data in practice. In particular the student should familiarize himself with the functioning of a given organization ? company or institution ? where their internship is taking place; be able to identify the data sources available in this institution, determine and evaluate their usefulness and viability in the context of the institution?s needs and business goals, improve his skills in data base analysis, modeling and diagnosing in order to solve sample analytical tasks (projects), as well as develop personality traits related to work, such as responsibility, work ethics and teamwork skills. |
|
Literatura: |
Literatura podstawowa: ... Literatura uzupełniająca: ... |
|
Uwagi: |
Kryteria oceniania: inne: 100.00% |
Właścicielem praw autorskich jest Szkoła Główna Handlowa w Warszawie.