Dataiku

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Dataiku is a collaborative data science and machine learning platform designed to help organizations manage, analyze, and build data-driven applications at scale. It simplifies the entire data lifecycle, from data preparation and cleaning to building advanced machine learning models and deploying them into production.

  • Data Integration: Supports seamless connections to various data sources like databases, cloud platforms, and APIs.

  • Collaborative Environment: Enables data scientists, analysts, and business users to collaborate on data projects with shared workflows.

  • Visual and Code-Based Tools: Offers a visual interface for non-coders and an advanced coding environment for data scientists (supports Python, R, SQL).

  • Machine Learning Automation: Includes AutoML features for automating model selection, training, and tuning.

Before learning Dataiku, you should have the following skills:

  1. Basic Data Science Knowledge: Understanding of data analysis concepts, including data preparation, cleaning, and manipulation​

  2. Programming Skills: Familiarity with languages like Python, R, and SQL, especially for advanced data processing and custom coding tasks​

  3. Machine Learning Fundamentals: A basic understanding of machine learning techniques and algorithms will help in utilizing Dataiku's AutoML and model-building features​

  4. Data Visualization: Experience with data visualization techniques to interpret and present insights effectively​

Introduction to Data Science Studio

Data management with Data Retention & Folder Self-Service explained

Graphic visualization

Openness to modeling Introduction to prediction

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