
Advanced Data Analysis AI tools and techniques collect useful information and provide useful insights, predictive analytics, and sentiment analytics based on data analysis with AI techniques.
Easy integration with AI can help make data analysis AI tools more effective. ChatGPT and BigQuery ML are some of the latest examples of data analysis tools used in queries, forecasting, and extracting useful information. In this article, we are going to learn about some of the data analysis AI tools that can help extract useful insights from the data.
| Name of the Tool | Availability |
| Google Colab | Online |
| ChatGPT (with Code Interpreter/Advanced Data Analysis) | Online |
| Tableau Public | Windows, macOS, Online |
| KNIME Analytics Platform | Windows, macOS, Linux |
| Orange Data Mining | Windows, macOS, Linux |
| Datawrapper | Online |
| Weka | Windows, macOS, Linux |
| RapidMiner | Windows, macOS, Linux, Online |
| Microsoft Power BI Desktop | Windows |
| Apache Zeppelin | Windows, macOS, Linux |
| Jupyter Notebooks | Windows, macOS, Linux, Online |
| Zoho Analytics | Online |
| H2O.ai | Windows, macOS, Linux, Online |
| TensorFlow | Windows, macOS, Linux |
| Pandas (Python Library) | Windows, macOS, Linux |
| Excel (Power Query and Analysis ToolPak) | Windows, macOS |
| Qlik Sense | Windows, macOS, Online |
| IBM Watson Studio | Online |
| Google Data Studio (Looker Studio) | Online |
| BigML | Online |