Introduction to data analysis

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Introduction to data analysis

Code: 252468
ECTS: 5.0
Lecturers in charge: prof. dr. sc. Nikola Sandrić
Take exam: Studomat
Load:

1. komponenta

Lecture typeTotal
Lectures 45
* Load is given in academic hour (1 academic hour = 45 minutes)
Description:
Literature:
  1. Data wrangling with Pandas, NumPy, and IPython. 3rd edition, McKinney, Wes, O'Reilly Media, Inc.,, 2022.
  2. Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow, Géron, Aurélien, O'Reilly Media, Inc., 2022.
  3. An introduction to statistical learning. Vol. 112, James, Gareth, New York: Springer, 2013.
Prerequisit for:
Enrollment :
Passed : Computer programming 1
Passed : Mathematical analysis 1
3. semester Not active
Izborni modul Računarstvo - Regular study - Mathematics

4. semester
Izborni modul Računarstvo - Regular study - Mathematics

5. semester Not active
Izborni predmet 1, 2 - Regular study - Mathematics

6. semester
Izborni predmet 1, 2 - Regular study - Mathematics
Consultations schedule:
  • prof. dr. sc. Nikola Sandrić:

    Wednesdays from 12:00 to 14:00.

    Location: 303