Technologies / Data & Analytics

BIG DATA - data science (Intermediate level)

Master Big Data and Data Science analysis techniques at an intermediate level. Training includes data analysis, visualizations, predictive models and interactive reports using the R language.

Why choose this training?

In today’s rapidly evolving IT landscape, technical competencies have become a critical asset. Master Big Data and Data Science analysis techniques at an intermediate level. Training includes data analysis, visualizations, predictive models and interactive reports using the R language.

Upon completion, participants will be able to: You will learn how to prepare the data for building a statistical model - this is the most important process and takes far more time than building the model itself and making predictions, You will understand how to visualize data to ‘pull’ as much useful information from it as possible, You will also learn how to build models and how to make predictions using them - based on real data! Finally, you’ll create an interactive report on your own, which is sure to please your boss :). These competencies directly translate into higher effectiveness in IT projects.

What makes our approach unique?

At EITT, we focus on learning by doing — every training includes extensive practical components. Over 3 days of intensive training, participants work on real-world examples and scenarios, ensuring not only theoretical understanding but practical application skills.

With over 2,500 trainings in our portfolio and a 4.8/5 participant rating, EITT is a trusted partner in IT competency development for organizations of all sizes. Our trainers are experienced practitioners who share up-to-date knowledge and proven solutions.

Looking for training tailored to your team’s needs? Contact us — we’ll prepare a program customized to your requirements.

Benefits

How to prepare the data for building a statistical model - this is the most important process and takes far more time than building the model itself and making predictions
You will understand how to visualize data to 'pull' as much useful information from it as possible
You will also learn how to build models and how to make predictions using them - based on real data! Finally, you'll create an interactive report on your own, which is sure to please your boss :)

Prerequisites

One should be familiar with the R language at least at a basic level
The participant should have a foundation in data analysis, or statistics

Training program

Create more advanced data visualizations.
An introduction to the most commonly used statistical methods, including both familiarization with popular supervised (supervised) and unsupervised (unsupervised) algorithms;
Based on the theory presented, build statistical models and make predictions;
Case study.
A brief reminder of Shiny;
Create interactive applications (more advanced than at the basic level);
Case study.