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AI for Business Intelligence | Data Development with AI
What you'll learn
Define how AI tools help Data professionals
AI Prompt Engineering for Data, SQL and PowerBI
Business Intelligence Lifecycle and Boosting your productivity with AI
Using AI for Data Engineering
Using AI for Data Querying
Using AI for Reporting and Dashboards
Using AI to create diagrams
Requirements
Basic Database and Reporting knowledge required, you can learn as you go along!
Description
This comprehensive training pack equips data professionals with the skills to leverage AI for enhanced business intelligence and data development solutions. Learn how to bridge the gap between data and business needs, understand the data lifecycle within a BI context, and master AI-powered code assistance tools like GitHub Copilot and Google Gemini Code Assist. Increase your efficiency, improve code quality, and deliver data-driven insights faster with the power of AI. Includes hands-on exercises and real-world examples.This course covers: Data and Business bridging the gapBusiness Intelligence and Data LifecycleWhat is AI Code assist for Data professionalsTooling for Data and AnalyticsPrompt engineering FoundationsCo-Pilot & Gemini Code Assist usageUse Cases for AI in Data DevelopmentRequirementsExplainDocumentBuildTestInsights and AnalysisDiagramming your SolutionsWhat you will learn
rompt engineering foundationsResponsible AI practicesPractical use cases for AI in data development (including requirements gathering, code generation, testing, analysis, and visualization), Integration with tools like SQL Server, Visual Studio Code, and Power BI. Through real-world examples and practical exercises, you'll discover how to:Accelerate code completion and reduce debugging time.Generate synthetic data for robust testing and development.Automate documentation and improve code understanding.Translate code between languages (e.g., SAS to SQL, Python).Extract valuable insights and formulate business recommendations.Develop data warehouse solutions using the Kimball methodology.Create impactful Power BI dashboards and reports.Design clear and informative diagrams for solution documentation.
Who this course is for
Beginner to Intermediate Data Analysts, Data engineers and Data professionals. Data curious people will benefit from the content.
Homepage:
Download link
rapidgator.net:
nitroflare.com:
Published 3/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 16m | Size: 1.43 GB
Data Development solutions with AI | AI tools to enhance Data development and Data Productivity
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 16m | Size: 1.43 GB
Data Development solutions with AI | AI tools to enhance Data development and Data Productivity
What you'll learn
Define how AI tools help Data professionals
AI Prompt Engineering for Data, SQL and PowerBI
Business Intelligence Lifecycle and Boosting your productivity with AI
Using AI for Data Engineering
Using AI for Data Querying
Using AI for Reporting and Dashboards
Using AI to create diagrams
Requirements
Basic Database and Reporting knowledge required, you can learn as you go along!
Description
This comprehensive training pack equips data professionals with the skills to leverage AI for enhanced business intelligence and data development solutions. Learn how to bridge the gap between data and business needs, understand the data lifecycle within a BI context, and master AI-powered code assistance tools like GitHub Copilot and Google Gemini Code Assist. Increase your efficiency, improve code quality, and deliver data-driven insights faster with the power of AI. Includes hands-on exercises and real-world examples.This course covers: Data and Business bridging the gapBusiness Intelligence and Data LifecycleWhat is AI Code assist for Data professionalsTooling for Data and AnalyticsPrompt engineering FoundationsCo-Pilot & Gemini Code Assist usageUse Cases for AI in Data DevelopmentRequirementsExplainDocumentBuildTestInsights and AnalysisDiagramming your SolutionsWhat you will learn
rompt engineering foundationsResponsible AI practicesPractical use cases for AI in data development (including requirements gathering, code generation, testing, analysis, and visualization), Integration with tools like SQL Server, Visual Studio Code, and Power BI. Through real-world examples and practical exercises, you'll discover how to:Accelerate code completion and reduce debugging time.Generate synthetic data for robust testing and development.Automate documentation and improve code understanding.Translate code between languages (e.g., SAS to SQL, Python).Extract valuable insights and formulate business recommendations.Develop data warehouse solutions using the Kimball methodology.Create impactful Power BI dashboards and reports.Design clear and informative diagrams for solution documentation.Who this course is for
Beginner to Intermediate Data Analysts, Data engineers and Data professionals. Data curious people will benefit from the content.
Homepage:
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Download link
rapidgator.net:
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nitroflare.com:
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