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Integrating Power BI and AI for Business Intelligence

Accelerate Your Business Decision-Making with Power BI & AI

  • Duration

    15 Hours

  • Schedule

    25-27 February 2025
    09.00 – 15.00 WIB

  • Habitare

    Jl. H. R. Rasuna Said No.Kav.20, Karet Kuningan, Kecamatan Setiabudi, Jakarta Selatan 12940

  • Investment

    Rp. 5.550.000

WORKSHOP STARTS IN

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Overview

This training provides participants with a comprehensive understanding of Power BI and its integration with Generative AI to enhance business intelligence. The course covers data extraction, transformation, visualization, dashboard design, and advanced analytics using DAX, equipping participants with practical skills to create interactive reports and data-driven insights. Additionally, participants will explore Generative AI techniques, including prompt engineering, to optimize decision-making and automate reporting workflows. By the end of the training, participants will have the technical and analytical expertise to leverage Power BI and AI-driven solutions effectively in business environments.

Course Syllabus

  • Explore the Power BI Platform
  • Navigate the Power BI ecosystem
  • Understand key application terminology
  • Identify visual cues for fields
  • Learn how to work within the Power BI Workflow
  • Discover the elements of a visualization
  • Get started with Power BI tools
  • Master Power BI Report View
  • Understand Power BI file types and extensions
  • Set up live data connections
  • Learn data extraction and transformation techniques
  • Save and edit data sources
  • Modify data types effectively
  • Track changes to your data
  • Create bar and column charts
  • Compare horizontal vs. vertical formats
  • Differentiate between pie and donut charts
  • Understand line vs. area charts
  • Know when to use tables vs. matrix
  • Build stacked and clustered bar charts
  • Use scatter plots for correlation analysis and outlier detection
  • Leverage the Analytics Pane for deeper analysis
  • Implement reference lines and bands in visualizations
  • Design and customize cards
  • Create combo charts for diverse data presentation
  • Visualize data with treemaps
  • Grasp the concept of hierarchies in data analysis
  • Conduct time-series analysis effectively
  • Build custom hierarchies for in-depth reporting
  • Utilize hierarchical slicers for better data filtering
  • Explore the fundamentals of DAX (Data Analysis Expressions)
  • Learn how to use Measures effectively in Power BI
  • Understand context evaluation in DAX for accurate calculations
  • Apply calculated columns to enhance data usability
  • Get an overview of Quick Measures in Power BI
  • Utilize Quick Measure for efficient calculations
  • Create bins and histograms for data segmentation
  • Analyze basic distribution statistics for insights
  • Solve business problems with data visualization
  • Gain insight into data visualization principles
  • Extract meaningful insights from data visualization
  • Create actionable insights for decision-making
  • Structure effective prompts for relevant AI responses
  • Optimize and iterate prompts for business use cases
  • Master advanced techniques: Few-Shot Learning and Chain-of-Thought Prompting
  • Generate actionable insights through prompt engineering
  • Understand the role of Generative AI in data insights
  • Automate reporting with Generative AI
  • Enhance dashboards using AI-generated narratives
  • Integrate Generative AI into Power BI workflows
  • Use Generative AI to assist with DAX formula generation and optimization
  • Learn the principles of effective dashboard design
  • Implement design best practices
  • Add interactivity to dashboards using filters and actions
  • Enhance dashboard visuals for a more engaging user experience
  • Deploy and publish Power BI reports seamlessly
  • Optimize query performance by fine-tuning DAX and queries
  • Monitor dashboard security and usage effectively

Course Receivables

  • Lecturer’s Notes

    Including Course Books (PDF), HTML files, course transcripts (if any).

  • Highly-accelerated Learning

    Learn under the assistance of mentorship of our lead instructor and a band of qualified teaching assistants throughout each course.

  • Certification of Completion

    Show current employer hat you’ve completed the course with a signed certificate of completion.

  • Quality Learning Environment

    We pay meticulous attention to the logistical details of our workshops: quality audio and visual setups, comfortable sitting arrangements, and small group size.

  • Refreshments & Coffee Break

    In our commitment to delivering a premium experience, we collaborate with leading catering services in Jakarta. Our aim is to ensure that all participants are served delectable lunches and revitalizing coffee breaks.

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ABOUT THIS SERIES

Courses in this series cater to a diverse audience: from casual learners and working professionals to those venturing into data science and machine learning without a programming background.

We recognize that many students may not have prior expertise in statistics, mathematics, or algebra. Therefore, our courses are designed with a gentle learning curve, placing a strong emphasis on hands-on experience and individualized instruction. Our dedicated team of instructors and teaching assistants ensure personalized guidance every step of the way.

Teaching Methodology

Students work through tons of real-life examples using sample datasets donated by our mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.

Get In Touch

PT. Algoritma Data Indonesia.
RDTX Square, 9th Floor. Setiabudi, DKI Jakarta 12930.
Office: 0816-692-471
Email: community@algorit.ma

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