Features

Features
Certification:
  • TAK
Dedicated training:
Number of training hours:
  • 16
Producer:
Training language:
  • polski
Training level:
  • Podstawowy
Type of training:
  • stacjonarnie; online; warsztat

Description

Company Description

InfoShare Academy is a leading IT academy offering comprehensive educational programs in new technologies for companies. Since 2015, we have been supporting organizations in developing technology teams through dedicated courses in Machine Learning, DevOps, Data Engineering, Python, UX/UI Design, AWS, and Kubernetes. Our training is based on practical skills and real business cases. We collaborate with over 300 industry practitioners, ensuring that our programs are tailored to current market needs. We specialize in reskilling and upskilling employees. With us, you will build effective teams implementing new technologies that will accelerate innovation and strengthen your company's competitiveness in the market. Check out our training offerings designed for companies, created to develop your employees' competencies in the IT field.

Training Description

The "Fundamentals of Big Data" training is an intensive course designed to introduce participants to the world of analyzing large datasets. Focusing on the practical application of Big Data technologies, this course offers 80% of classes in the form of workshops and 20% theory, providing solid foundations and real skills necessary to work with large datasets.

Who the Training is For

This training is aimed at individuals who want to start their journey with Big Data, data analysts, programmers, and anyone interested in analyzing and processing large datasets.

Goals

 

Benefits
  • You will understand the concept and tools of Big Data – you will gain knowledge about key technologies and their application in practical data analysis.
  • You will learn practical skills in data processing – how to prepare data for analysis, including importing, cleaning, and processing large datasets.
Training Program
  • Day 1: Introduction to Big Data

    • Theory: understanding Big Data and its significance in today's world

    • Basic definitions and concepts of Big Data

    • Overview of tools and technologies used in Big Data

    • Workshops: working with data

      • Importing data from various sources

      • Preprocessing and cleaning data

  • Day 2: Data Analysis and Processing

    • Theory: methods of analyzing large datasets

    • Techniques for dimensionality reduction and data aggregation

    • Basics of statistical and exploratory data analysis

    • Workshops: practical application of Hadoop and Spark

      • Setting up the working environment

      • Creating and running simple data processing applications

Duration

16 hours/2 days

Price Includes
  • Certificate of completion
  • Monthly access to the training recording (for online format)
  • Customization of the training program to meet client needs

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