Białystok

NobleProg Classroom, Białystok, poland, 15-440

Subcategories (1)

Mathematica

Mathematica

Explore Our Courses

Mathematica - Introduction, Visualization, and Data Presentation

 14 Hours
The "Mathematica - introduction, visualization and presentation of data" training is aimed at participants with basic mathematical knowledge. Mathematica, as a powerful mathematical engine, enables effective calculations, creating text documents, building charts and presenting data. Participants will gain practical skills in working with Mathematica, used, among others, in mathematics, physics, biology, financial analysis and other fields.
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Mathematica for Machine Learning

 14 Hours
This instructor-led, live training in Białystok (online or onsite) is aimed at data scientists who wish to use machine learning in Mathematica for data analysis. By the end of this training, participants will be able to:
  • Build and train machine learning models.
  • Import and prepare data for machine learning.
  • Separate training data from test data.
  • Explore deep learning and neural network applications in data analysis.
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Testimonials (1)

Open-mindedness, positive atmosphere, collaboration with the instructor

PAA

Course - Mathematica - wprowadzenie, wizualizacja i prezentacja danych

Machine Translated

Provisional Courses

Mathematica - Introduction, Visualization, and Data Presentation

2025-06-10 09:00
14 hours
Białystok
2580 PLN (Online)
2680 PLN (Classroom)

Mathematica - Introduction, Visualization, and Data Presentation

2025-06-24 09:00
14 hours
Białystok
2580 PLN (Online)
2680 PLN (Classroom)

Mathematica for Machine Learning

2025-07-08 09:00
14 hours
Białystok
2580 PLN (Online)
2680 PLN (Classroom)

Mathematica - Introduction, Visualization, and Data Presentation

2025-07-22 09:00
14 hours
Białystok
2580 PLN (Online)
2680 PLN (Classroom)

Mathematica for Machine Learning

2025-08-05 09:00
14 hours
Białystok
2580 PLN (Online)
2680 PLN (Classroom)

Other regions in Poland

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These courses are also available in other countries

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