Data Analytics Tools:
There are many data analytics tools available in the market today both Open-Sourced (Free of cost) and Closed Source (Paid-ones).
Here are some of the most popular ones:
Tableau: A powerful data visualization tool that helps users to create interactive dashboards and reports.
Power BI: Another popular data visualization tool developed by Microsoft that allows users to create interactive reports and dashboards.
Python: Python is a general-purpose programming language that has a wide range of libraries for data analysis, such as Pandas, NumPy, and Matplotlib.
R: A programming language that is specifically designed for statistical analysis and data visualization.
Excel: Microsoft Excel is a widely used spreadsheet program that can also be used for data analysis and visualization.
Google Analytics: A web analytics tool that helps users to track and analyze website traffic and user behavior.
Apache Hadoop: A big data processing framework that is used to store, process, and analyze large datasets.
SAS: A popular analytics software suite that is used for data management, analytics, and business intelligence.
IBM SPSS: A software suite that provides advanced statistical analysis and predictive modeling capabilities.
These are just a few of the many data analytics tools available, and the choice of tool will depend on the specific needs and requirements of the organization or individual using it.
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