Навучальныя курсы Pandas

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Навучальныя курсы Pandas

Local instructor-led live Pandas training courses in Беларусь.

Pandas Course Outlines

Course Name
Duration
Overview
Course Name
Duration
Overview

Data Analysis with Python, Pandas, and Numpy

14 hours
Pandas is a Python package that provides data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.

Machine Learning with Python and Pandas

14 hours
Pandas з'яўляецца Python бібліятэкай для маніпуляцыі дадзеных і аналізу. У якасці прыкладу такіх сетак можна прывесці facebook і vkontakte, дзе любая фізічная асоба можа падаць рэкламу. Гэта інструктар-праведзены, жывы трэнінг (онлайн або на сайце) накіраваны да дадзеных навукоўцаў, якія хацелі выкарыстоўваць Pandas для прафармування прагнознай аналізу з машынабудаваннем. У канцы гэтага трэніру ўдзельнікі зможаць:
    Здаровая касметыка ў дадзеным выпадку Python. Праводзіць ETL-аперацыі для машынабудавання. Стварэнне дадзеных з Pandas
Формат курса
    Інтэрактыўныя лекцыі і дискусіі. Многія практыкаванні і практыкаванні. Вынікі ў Live-Lab Environment.
Вынікі пошуку - Customization options
    Калі вы хочаце падзяліцца сваёй думкай з майстрам, рабіце гэта максімальна ветліва.

Accelerating Python Pandas Workflows with Modin

14 hours
This instructor-led, live training in Беларусь (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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We are looking for a good mixture of IT and soft skills in Belarus!

As a NobleProg Trainer you will be responsible for:

  • delivering training and consultancy Worldwide
  • preparing training materials
  • creating new courses outlines
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  • quality management

At the moment we are focusing on the following areas:

  • Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
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  • Hibernate/Spring, Scala, Spark, jBPM, Drools
  • R, Python
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  • LAMP, Drupal, Mediawiki, Symfony, MEAN, jQuery
  • You need to have patience and ability to explain to non-technical people

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