dataiku-canada
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.
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Data Integration: Supports seamless connections to various data sources like databases, cloud platforms, and APIs.
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Collaborative Environment: Enables data scientists, analysts, and business users to collaborate on data projects with shared workflows.
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Visual and Code-Based Tools: Offers a visual interface for non-coders and an advanced coding environment for data scientists (supports Python, R, SQL).
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Machine Learning Automation: Includes AutoML features for automating model selection, training, and tuning.
Before learning dataiku, you should have the following skills:
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Basic Data Science Knowledge: Understanding of data analysis concepts, including data preparation, cleaning, and manipulation
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Programming Skills: Familiarity with languages like Python, R, and SQL, especially for advanced data processing and custom coding tasks
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Machine Learning Fundamentals: A basic understanding of machine learning techniques and algorithms will help in utilizing dataiku-canada's AutoML and model-building features
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Data Visualization: Experience with data visualization techniques to interpret and present insights effectively
- Introduction to Data Science Studio
- Data management with Data Retention and Folder Self-Service explained
- Graphic visualization
- Openness to modeling Introduction to prediction