Data analytics tools

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tnplpramanik
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Joined: Thu Dec 05, 2024 4:58 am

Data analytics tools

Post by tnplpramanik »

Let's now talk about some tools (and also programming and query languages) that an analyst can use. If you want to be a data analyst you need to be proficient in at least some of the tools below, but if you've never heard of them, don't be intimidated, learning is part of the learning curve.



Microsoft Excel is a software that allows you to organize, format, and calculate data within a spreadsheet. Analysts use Excel to perform basic queries and create pivot tables, graphs, etc. Excel also has its own programming language called Visual Basic for Applications (VBA).


Tableau is a popular BI and data analysis software that is primarily used for data visualization. Analysts use Tableau to simplify raw data into dashboards, spreadsheets, maps, and charts, making the data accessible and easy to understand for everyone, and allowing analysts to share their insights.


Python is an open-source language that is used to organize large amounts of wrangling data. Data saudi arabia mobile phone number List wrangling involves processing data in various formats, merging and combining data, and preparing the data for analysis. Python has several benefits that make data wrangling easier, which makes Python a very popular alternative to Excel (especially when it comes to working with more complex data sets).


R is another open-source programming language used in statistical computing, often serving as a complement to Python. R is popular among data analysts because of its output; R gives you a variety of tools for presenting and communicating results.


SAS is a command-driven software package that is used to perform advanced statistical analysis and data visualization. Offering a wide variety of statistical methods and algorithms, customizable analysis options and output, and publication-quality graphics, SAS is one of the most widely used software packages in the field.


SQL stands for “structured query language,” and is used to access and manipulate databases. SQL is a tool used to communicate with data in a database, which is useful if you want to bring the data back for analysis. Many large companies use some variation of SQL to store their data, so learning SQL is essential for a data analyst.

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Rapid Miner is a software package used for data mining (discovering patterns), text mining, predictive analytics, and machine learning. Used by both data analysts and data scientists, Rapid Miner has a number of advantages, including data modeling, validation, and automation.


Power BI is a business analytics solution that allows you to visualize your data and share it with your organization. Similar to Tableau, Power BI is primarily used for data visualization. While Tableau is designed for data analysts, Power BI is a more general business intelligence tool.


Fine Report is a business intelligence tool used to monitor performance, identify trends within data, and create reports and dashboards. This tool is very user-friendly and popular among data analysts and non-data experts alike.


All of this is just a brief introduction to the main tools and languages ​​in this area. One way to get good information about which tools are most popular today is to look through job descriptions; there companies will list the tools they expect an analyst to work with.
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