Warszawa

NobleProg Warszawa, Złota 3/11, Warsaw, Poland, 00-019

NobleProg Tarining Classroom in Warsaw is located at Zlota 3/11 Street. Closest Metro Station is METRO CENTRUM.

Radom

Hotel Promenda, Bulwarowa 15, Radom, Poland, 26-600

The training room is located 5 kilometers from the city center and 8 kilometers from the Warsaw-Radom airport.

Explore Our Courses

Data Analysis with Python, Pandas and Numpy

 14 Hours

This instructor-led, live training in mazowieckie (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.

By the end of this training, participants will be able to:

  • Set up a development environment that includes Python, Pandas, and NumPy.
  • Create a data analysis application using Pandas and NumPy.
  • Perform advanced data wrangling, sorting, and filtering operations.
  • Conduct aggregate operations and analyze time series data.
  • Visualize data using Matplotlib and other visualization libraries.
  • Debug and optimize their data analysis code.
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Data Analysis in Python – NumPy, Pandas, and Visualization

 21 Hours

The training covers key tools used in analytical work and data science:
NumPy (array operations), Pandas (tabular data analysis), and visualization libraries.
Modules guide participants from the basics of data processing to creating charts
and exploratory data analysis (EDA).

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Accelerating Python Pandas Workflows with Modin

 14 Hours

This instructor-led, live training in mazowieckie (online or onsite) is aimed at data scientists and developers who wish to use Modin to build and implement parallel computations with Pandas for faster data analysis.

By the end of this training, participants will be able to:

  • Set up the necessary environment to start developing Pandas workflows at scale with Modin.
  • Understand the features, architecture, and advantages of Modin.
  • Know the differences between Modin, Dask, and Ray.
  • Perform Pandas operations faster with Modin.
  • Implement the entire Pandas API and functions.
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Testimonials (1)

Trainer develops training based on participant's pace

Farris Chua

Course - Data Analysis in Python using Pandas and Numpy

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