Dataiku
Master data science workflows with Dataiku Data Science Studio under expert guidance. Enroll in our comprehensive training program designed to build proficiency in data preparation, exploration, visualization, and project management using this industry-leading platform for complete analytical excellence.
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Corporate Pricing
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Training Provider Pricing
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Subsidies
What you'll learn
- Navigate Dataiku Data Science Studio interface and core architecture components
- Implement data connectors and perform cleansing using visual transformation tools
- Deploy automation scenarios and bundle projects for production deployment
- Manage project flows and utilize collaboration features for team environments
- Build interactive charts and conduct statistical analysis for data insights
- Create and manage projects with datasets, recipes, and organized workflows
Why should you attend?
This comprehensive training program introduces participants to Dataiku Data Science Studio, a powerful platform for data science and analytics workflows. The course begins with foundational concepts, covering the platform's architecture, core components including projects, datasets, recipes, and flows, along with managed folders and file formats. Participants will gain hands-on experience creating projects, uploading and managing datasets, and utilizing various connectors for data integration. The curriculum emphasizes practical data preparation techniques through visual recipes for cleansing and normalization, basic transformations, enrichments, and proper schema management. Advanced topics include comprehensive data exploration using charts interface, visual aggregations, and statistical analysis tools for both univariate and bivariate insights. Students will master flow management, learning to build and order datasets effectively while managing project versions. The program covers collaboration features including dashboard creation, reporting capabilities, sharing mechanisms, and access control fundamentals. The course concludes with automation and integration concepts, introducing scenarios for repetitive tasks and project deployment strategies. Extensive hands-on practice sessions reinforce learning through real-world applications and interactive problem-solving exercises.
Course Syllabus
Day 1 - DSS Fundamentals & Setup
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Data Analysis & Collaboration
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Ratings and Reviews
Instructor
Uzair Aslam is a distinguished Data Scientist with an impressive track record, demonstrating a profound ability to derive insightful information from vast datasets. Starting his career in Islamabad as a Product Marketing Lead for Huaxin Technomen International, Uzair successfully merged analytical skills with strategic marketing, securing significant military contracts. His journey into data science began as a Machine Learning Intern at Maxis Telecom in Kuala Lumpur, where he excelled in model development for extracting customer points of interest and designing effective Named Entity Recognition (NER) models. Elevating his career to Senior Data Scientist roles, Uzair showcased his exceptional skillset at Maybank by pioneering a machine learning-based fraud detection model that notably enhanced efficiency and reduced false positives. His innovative approach, combining computer vision with natural language processing, streamlined document analysis and anomaly detection processes. Uzair's leadership in developing a sophisticated news web-scraping app and the C-insight Risk Reporting Dashboard further underscores his capacity to leverage technology in addressing complex business challenges. With extensive experience training corporate clients on cutting-edge data science topics and holding multiple certifications, Uzair exemplifies a blend of technical mastery and practical application in real-world scenarios.
FAQs
Why should you attend?
This comprehensive training program introduces participants to Dataiku Data Science Studio, a powerful platform for data science and analytics workflows. The course begins with foundational concepts, covering the platform's architecture, core components including projects, datasets, recipes, and flows, along with managed folders and file formats. Participants will gain hands-on experience creating projects, uploading and managing datasets, and utilizing various connectors for data integration. The curriculum emphasizes practical data preparation techniques through visual recipes for cleansing and normalization, basic transformations, enrichments, and proper schema management. Advanced topics include comprehensive data exploration using charts interface, visual aggregations, and statistical analysis tools for both univariate and bivariate insights. Students will master flow management, learning to build and order datasets effectively while managing project versions. The program covers collaboration features including dashboard creation, reporting capabilities, sharing mechanisms, and access control fundamentals. The course concludes with automation and integration concepts, introducing scenarios for repetitive tasks and project deployment strategies. Extensive hands-on practice sessions reinforce learning through real-world applications and interactive problem-solving exercises.
What you'll learn
- Navigate Dataiku Data Science Studio interface and core architecture components
- Implement data connectors and perform cleansing using visual transformation tools
- Deploy automation scenarios and bundle projects for production deployment
- Manage project flows and utilize collaboration features for team environments
- Build interactive charts and conduct statistical analysis for data insights
- Create and manage projects with datasets, recipes, and organized workflows
Course Syllabus
Day 1 - DSS Fundamentals & Setup
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Data Analysis & Collaboration
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
Ratings and Reviews
Instructor
Uzair Aslam is a distinguished Data Scientist with an impressive track record, demonstrating a profound ability to derive insightful information from vast datasets. Starting his career in Islamabad as a Product Marketing Lead for Huaxin Technomen International, Uzair successfully merged analytical skills with strategic marketing, securing significant military contracts. His journey into data science began as a Machine Learning Intern at Maxis Telecom in Kuala Lumpur, where he excelled in model development for extracting customer points of interest and designing effective Named Entity Recognition (NER) models. Elevating his career to Senior Data Scientist roles, Uzair showcased his exceptional skillset at Maybank by pioneering a machine learning-based fraud detection model that notably enhanced efficiency and reduced false positives. His innovative approach, combining computer vision with natural language processing, streamlined document analysis and anomaly detection processes. Uzair's leadership in developing a sophisticated news web-scraping app and the C-insight Risk Reporting Dashboard further underscores his capacity to leverage technology in addressing complex business challenges. With extensive experience training corporate clients on cutting-edge data science topics and holding multiple certifications, Uzair exemplifies a blend of technical mastery and practical application in real-world scenarios.
FAQs
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