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 Indonesia or in NobleProg corporate training centers in Indonesia.
Pandas is also known as Python Pandas.
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Testimonials
I liked the customized, in-house file processing and data analysis.
Glycom A/S
Course: Data Analysis in Python using Pandas and Numpy
I enjoyed the that we have used our own data as examples.
Glycom A/S
Course: Data Analysis in Python using Pandas and Numpy
Trainer develops training based on participant's pace
Farris Chua
Course: Data Analysis in Python using Pandas and Numpy
The notebooks and examples were on point.
Course: Data Analysis in Python using Pandas and Numpy
The explanation provided is clear.
Course: Data Analysis in Python using Pandas and Numpy
The notebooks and examples were on point.
Course: Data Analysis in Python using Pandas and Numpy
The explanation provided is clear.
Course: Data Analysis in Python using Pandas and Numpy
Python Pandas Course Outlines in Indonesia
Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
Pandas is a Python package that provides data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.
14 hours
This instructor-led, live training in Indonesia (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:
- Perform data wrangling in Python.
- Conduct ETL operations for machine learning.
- Create data visualizations with Pandas
14 hours
This instructor-led, live training in Indonesia (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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