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analytics-tools-setup's Introduction

Objective of this Repository

The purpose of this repository is to create a simple and easily accesible place with all the important information needed to install useful data analytics & programming tools.

Data analytics & tools, their importance and future

Data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. Today's software tools enable the analyst to do the job better than ever, faster and with the best accuracy possible. The rapid advance of information technology means that those tools evolve, specialize and adapt to the needs of the business, making the "science of data" the most important innovation of the 21st century.

Anaconda

Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS. Package versions in Anaconda are managed by the package management system conda. Anaconda includes Jupyter Notebook and has built in ability to install RStudio from Anaconda Navigator. Standalone installation links for these tools can also be found below.

Anaconda Download Link

Jupyter Notebook

Project Jupyter is a project and community whose goal is to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages". Project Jupyter's name is a reference to the three core programming languages supported by Jupyter, which are Julia, Python and R and also an homage to Galileo's notebooks recording the discovery of the moons of Jupiter. Supported browsers are the latest versions of Firefox, Chrome & Safari.

  • If you use conda, installation with: conda install -c conda-forget jupyterlab
  • If you use mamba, installation with: mamba install -c conda-forget jupyterlab
  • If you use pip, installation with: pip install jupyterlab

Jupyter Download Link

RStudio (from anaconda or download link)

RStudio is an Integrated Development Environment (IDE) for R, a programming language for statistical computing and graphics. It is available in two formats: RStudio Desktop is a regular desktop application while RStudio Server runs on a remote server and allows accessing RStudio using a web browser.

RStudio Download Link

Microsoft Visual Studio

Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft. It is used to develop computer programs, as well as websites, web apps, web services and mobile apps. Visual Studio uses Microsoft software development platforms such as Windows API, Windows Forms, Windows Presentation Foundation, Windows Store and Microsoft Silverlight. It can produce both native code and managed code.

Microsoft Visual Studio Download Link

Microsoft Power BI

Power BI is a business analytics service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards. It is part of the Microsoft Power Platform and can even have programming.

Microsoft Power BI Download Link

Python

Python is an interpreted high-level general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant indentation. Its language constructs as well as its object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.

Python Download Link

R

R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.

R Download Link

Navicat

Navicat is a series of graphical database management and development software produced by CyberTech for MySQL, MariaDB, MongoDB, Oracle, SQLite, PostgreSQL and Microsoft SQL Server. It has an Explorer-like graphical user interface and supports multiple database connections for local and remote databases. Its design is made to meet the needs of a variety of audiences, from database administrators and programmers to various businesses/companies that serve clients and share information with partners.

Navicat Download Link

FlySpeed SQL Query

FlySpeed SQL Query is a highly visual query tool that works with any database. It is capable of connecting to every modern database server and works like a charm with all the widely used desktop databases. FlySpeed SQL Query is compatible with leading and popular office file formats including CSV and Excel.

Flyspeed Download Link

Sqlizer (Excel to SQL)

This tool transforms an xls file to SQL query.

Sqlizer Download Link

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analytics-tools-setup's Issues

Typo

Readme file:
'This purpose' should be 'The purpose'

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