Compare the top three in Data Analysts.

• Google Analytics  /  Python
• Google Analytics  /  Java
• Python  /  Java

Most popular

1. Google Analytics

   Google Analytics helps you understand how people interact with your website, app, or other digital properties. It provides insights into user behavior, marketing performance, and more, so you can make data-driven decisions.

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2. 

   Python

   Python is a programming language that lets you work quickly and integrate systems more effectively.

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3. Java

   Java is a popular programming language used to create secure, reliable, and high-performance applications. It is used to develop applications for desktop, web, mobile, and enterprise systems. Java is free, open-source, and platform-independent.

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4. 

   RapidMiner

   The RapidMiner platform amplifies the impact of people, expertise & data for breakthrough competitive advantage, no matter where you are in your data science journey.

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5. 

   DataRobot

   DataRobot is delivering a unified AI platform for all users, all data types, and all environments to accelerate delivery of AI to production for every organization. DataRobot is trusted by global customers across industries and verticals, including a third of the Fortune 50, delivering over a trillion predictions for leading companies around the world.

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6. 

   KNIME

   Free and open source with all your data analysis tools. Create data science solutions with the visual workflow builder, & put them into production in the enterprise.

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7. 

   Neo4j

   Connect data as it's stored with Neo4j. Perform powerful, complex queries at scale and speed with our graph data platform.

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