Data Analysis is the process of working on data with the purpose of arranging it correctly, explaining it, making it presentable, and finding a conclusion from that data. The main purpose of data analysis is interpretation, evaluation & organization of data and to make the data presentable.

Data Analysis is done with the purpose of finding answers to specific questions. We offer tools for data analysis:

 

Licenzed Software SumDU within Microsoft Office 365:

Excel is one of the most affordable tools for analyzing and visualizing data. It allows you to quickly sort, filter, analyze data.

Power BI comprehensive Business Intelligence software that enables you to refine, consolidate data, convert it to an easy-to-analyze format, simulate the outcome of different actions, and track decision-making.

Commercial software products that offer free packages:

Datawrapper is a free open source web service for creating design charts, maps, tables, infographics, is adaptive for different devices, operating systems.

Tableau Public is a data analysis tool that provides information through data visualization without programming. Previews published by Tableau Public can be embedded in blogs, web pages, and shared via email or social networks. Shared content can be made available for download.

Open source software and licenses:

Jupyter is a web application that allows the user to write codes and text elements of various forms. Inside it, you can write paragraphs, equations, headings, add links, shapes, and more. Notepad is useful for sharing interactive algorithms with your audience, focusing on learning.

Python is a programming language that enables data processing, analysis, visualization, forecasting, and data retention to facilitate the implementation of decisions by the user, following the standards of the required algorithms.

R is a programming language and software environment for statistical computing, analysis and image data in graphical form.

RStudio IDE is an integrated development environment for R, computational statistics programming language and data visualization.

Open Refine is a powerful tool for purification, transformation, analysis, data visualization.

Cloud services for data analysis and machine learning:

Google Colaboratory is a cloud service designed to facilitate machine and deep learning research. Using Colaboratory, you can get remote access to a PC with a connected video card for free. Colab is an analogue of Google Docs for the Jupyter Notebook.

KDnuggets – is an open platform for searching software for various data analysis and machine learning tasks.

Kaggle (Google LLC) – is an open platform for machine learning and data analysis.