Online or onsite, instructor-led live Pandas training courses demonstrate through interactive hands-on practice how to use Pandas to perform data analysis, predictive analysis, and machine learning.
Pandas training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Pandas training can be carried out locally on customer premises in Montevideo or in NobleProg corporate training centers in Montevideo.
Pandas is also known as Python Pandas.
NobleProg -- Your Local Training Provider
Montevideo - La Cumparsita
1282 Ituzaingo Street, Montevideo, uruguay
Uruguay's home of culture, politics and commerce now presents La Cumparsita. La Cumparsita is located in 'Ciudad Vieja', the ...
Uruguay's home of culture, politics and commerce now presents La Cumparsita. La Cumparsita is located in 'Ciudad Vieja', the oldest part of the capital city of Montevideo, near the main square of Plaza Independencia. In recent years, this neighborhood (which for several decades was the country's political and economic center of the city) has undergone an impressive regeneration. Renowned for its art deco buildings, colonial houses and landmarks, including the neoclassical Solis Theater, it is also Uruguay's main port and home to the 'Mercado del Puerto', a former market and venue for traditional Uruguayan food and drink.
More than just a contemporary glass facade, this building impresses from the start with its double-height ceiling lobby and rooftop terrace, ideal for lazy lunches or networking evenings. Every workspace is flooded with natural light, from private offices to elegant meeting rooms and bustling common areas. Connect with our thriving community of like-minded professionals and soak up the entrepreneurial spirit. Best of all, getting here couldn't be easier: the Buenos Aires bus stop, Estación Central train station and Montevideo ferry terminal are just steps away.
Montevideo, World Trade Center III
Av. Luís Alberto Herrera y Av. Veintiséis de Marzo, Montevideo, uruguay
With its stunning views and workspaces flooded with natural light, this center is certain to impress. It occupies the 19-stor...
With its stunning views and workspaces flooded with natural light, this center is certain to impress. It occupies the 19-story renovated World Trade Center third tower and is situated in the vibrant, growing Buceo area. The building, which is connected to the other towers by a lively inner square, is close to the government and embassy district, as well as being next to Montevideo's shopping hub. The square, known as Plaza las Torres, includes famous sculptures. More than 200 companies are established at WTC Montevideo, mostly global banks, airlines and multinationals, alongside telecoms, financial and legal firms. Uruguay's workforce is well educated and boasts a high literacy rate. The country's main industries include beef exports, wool and leather, and it has a strong IT sector. The center is 30 minutes from the international airport, 10 minutes from the bus station and 20 minutes from the harbor.
This instructor-led, live training in Montevideo (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.
This instructor-led, live training in Montevideo (online or onsite) is aimed at data scientists who wish to use Pandas to preform predictive analysis with machine learning.
By the end of this training, participants will be able to:
This instructor-led, live training in Montevideo (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.
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