Here are the top 5 AI tools you need to know as a data analyst in 2023:
Tableau
Tableau is a powerful data visualization and analytics platform that helps data analysts create interactive dashboards and reports to gain insights from their data. Tableau's AI capabilities include anomaly detection, forecasting, and natural language processing.
Microsoft Power BI
Microsoft Power BI is a business intelligence platform that enables data analysts to visualize and analyze data from various sources. Power BI's AI capabilities include automated machine learning, natural language query, and anomaly detection.
RapidMiner
RapidMiner is a data science platform with a wide range of AI capabilities, including machine learning, natural language processing, and data visualization. RapidMiner is easy to use, even for data analysts with limited coding experience.
DataRobot
DataRobot is an automated machine learning platform that enables data analysts to build and deploy predictive models quickly and easily. DataRobot supports a wide range of machine learning algorithms, and it can be used to solve a variety of data analysis problems.
IBM Watson Analytics
IBM Watson Analytics is a cognitive analytics platform that helps data analysts explore and understand data using natural language processing. Watson Analytics can also be used to build and deploy machine learning models.
These are just a few of the many AI tools available to data analysts. The best tool for you will depend on your specific needs and requirements.