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Data Engineering & Analytics

AI-Native Business Intelligence

Available in:RemoteIn-Person

Turn raw data into clear reports and dashboards that help organizations make better decisions. In 15 weeks of no-cost, hands-on training, learn to analyze data and use AI to explain insights for entry-level data and business intelligence roles. Prepare to earn Microsoft Power BI and Google AI Professional credentials at no cost to you. These help show employers your data analysis, visualization, and workplace AI skills.

Time Commitment: Full-Time, 35 hours/week

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Course Level

Foundational

Length

15 weeks

Exact dates vary by class

Certifications

  • Power BI Data Analyst Associate PL-300
  • Google AI Professional

Requirements

No previous experience is required. You must:

Get Class Details by Location

AI-Native Business Intelligence is offered in eight locations. Select a location to view specific campus class schedule and details.

Course Format

Remote

Instruction

Instructor-led

Dates, hours and length vary by class — see below

Upcoming classes1 at Pittsburgh Area

StartsApply byEndsMeetsFormatVersion code
Feb 16, 2027Feb 2, 2027Jun 1, 2027Monday - Friday9:00 AM – 4:00 PM ETRemote1034

What is AI-Native Business Intelligence?

Every organization relies on data to make important decisions. Business Intelligence professionals transform raw information into reports, dashboards, and insights that help leaders solve problems and plan for the future.

Master the Full Analytics Pipeline: You'll learn to structure business problems, build data pipelines, and create stakeholder-ready dashboards through live instruction, hands-on labs, and collaborative projects.

Innovate with AI Copilots: You'll use AI copilots to formulate business questions, generate analysis scripts, and translate raw data into actionable insights.

Supercharge Your Job Search: Work directly with dedicated career coaches and leverage AI tools to develop a tailored resume, practice for technical and behavior interviewing, and learn to present your technical skills with poise so you can launch your career with confidence.

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Is This Right for You?

  • You may be successful in this training if you:if you want to start or grow a career in data analytics and you:

    • Have basic computer skills and are ready for an accelerated learning experience
    • Are detail-oriented and enjoy solving problems with data.
    • Like finding patterns and making sense of information.
    • Can commit 35 hours weekly to instruction, labs, and career prep (plus 10–20 hours studying outside class).

What You'll Learn

  • By the end of the training, you'll be able to:

    • Gather and clean raw information using Excel, Power Query, and SQL so it is ready to analyze.
    • Set up data models and interactive dashboards in Power BI that help stakeholders understand key trends.
    • Practice translating business questions into technical steps, such as writing SQL queries to find out which regions had the highest sales.
    • Track changes and manage your analytics projects safely using Git and GitHub.
    • Generate formulas, write Python scripts, and explain complex data trends faster using AI tools and copilots.

How You'll Learn

The course is delivered through a combination of fundamental concepts of data analytics and hand-on labs.

  • Equipment Practice and Labs

    You will actively use industry-standard software – including Excel, MySQL, Python, Visual Studio Code, and Power BI – to transform and analyze data

  • Workplace Simulation Projects

    Through collaborative projects, you will tackle real-world scenarios, use AI copilots to ingest CSVs, tranform data and build a professional portfolio of interactive dashboards and insights

  • Support Tickets and Security Scenarios

    You will learn to integrate generative AI to design secure end-to-end Power BI solutions.

  • Code Review

    You will practice collaborative, professional analytics by managing reproducible workflows and project versions using Git and GitHub.

  • Certification Prep

    The course includes a dedicated review unit with practice exams and guided study to ensure you are fully prepared to pass the Microsoft Certified: Power BI Data Analyst Associate (PL-300) exam

Career Opportunities After Training

  • After completing the program, you'll be prepared to pursue entry-level positions such as:

    • Business Intelligence Analyst
    • Business Intelligence Developer
    • Data Analyst

    In these roles, you'll transform business data into meaningful insights that help organizations improve operations and make informed decisions.

  • Your Career Can Grow From Here

    Many graduates begin their careers in Business Intelligence before advancing into specialized technology fields such as Senior Data Analyst, Analytics Manager, or Data Engineer. Business Intelligence provides a strong foundation for careers in data engineering, analytics, artificial intelligence, data science, and business strategy.

  • What to Expect

    • Entry-level analysts often work with experienced teams while building technical expertise.
    • Strong communication skills are just as important as technical skills.
    • As your experience grows, opportunities to specialize and lead data initiatives increase.

AI-Native Business Intelligence