AI for Business Analysts - The Complete Course

Position AI as a productivity partner for business analysts, covering requirements elicitation, process modeling, data analysis, visualizations, documentation, and communication to automate tasks and unlock strategic work.

Use ai to prepare for requirements interviews by following a six-step guide, crafting prompts, open questions, follow-ups, and role-play to build a structured interview guide.

Use AI to summarize a Zoom transcript into professional meeting minutes for stakeholders, capturing purpose, attendees, key points, decisions, risks, and action items.

Leverage AI and ChatGPT to analyze documents, generate concise summaries, and extract business rules, such as customer interaction policies, returns, data privacy, and AI ethics, to speed requirements gathering.

Learn to use ChatGPT or perplexity to understand long sql code, load the file, and get a plain-English big-picture of the university database's architecture.

Learn how to create sql queries using ai to understand and generate code for extracting department information from a database, including campus info and counts of students, instructors, and courses.

Learn to optimize SQL queries with AI and ChatGPT by replacing multiple scans and subqueries with a set-based approach, using conditional aggregation and proper indexing for faster results.

Use Copilot in Excel to automate sales data analysis on a 1000-record dataset, uncovering total profit by item type, profit by year, top revenue countries, and pivot table insights.

Explore copilot for data quality analysis by identifying duplicate sales records and validating order ID uniqueness, then verify results manually, as AI may miss values in units sold or outliers.

Explore how AI tools generate visualizations across Excel, Copilot, Power BI, and ChatGPT. Create bar charts, customize visuals by item type, and perform real-time analysis in meetings.

Discover how Copilot for data analysis in Excel helps business analysts with data quality, time series analysis, descriptive analysis, forecasting, and visualization through a library of prompts and practical tips.

Explore how data quality, bias, explainability, and privacy affect AI-driven analysis, and learn governance, validation, fairness testing, transparency, and compliance practices for trustworthy insights.

Learn to draft a detailed requirements document with AI by guiding ChatGPT through project context, problem statements, objectives, requirements, and acceptance criteria in an iterative, customizable workflow.

Learn to create user stories with ChatGPT for an e-commerce shopping cart, using prompts, given-when-then criteria, and the Invest checklist to prioritize and refine.

Generate a polished Word report from an Excel data file for senior management using ChatGPT, including structure, executive summary, sales overview, regional performance, and recommendations for pdf export.

Generate professional emails with ai to share the main findings from data analysis with senior leadership. Attach the full report and tailor drafts, then review for accuracy and ethics.

Begin a real-world library digitization project by using AI as a smart assistant to analyze unstructured stakeholder emails, clarify scope, and prepare discovery, requirements definition, and a kickoff.

Learn a five-step AI approach to deconstruct stakeholder emails: summarize the message, identify business problems, separate wants from needs, extract constraints and risks, and generate clarifying questions for project planning.

Use ai to plan stakeholder requirements elicitation by generating and prioritizing clarifying questions for interviews and follow-ups, load context, and customize lists for efficient one-hour meetings.

Identify relevant stakeholders, assess their influence and interest, and develop engagement plans using interview transcripts to create a power–interest stakeholder map, then visualize and present insights to leadership.

Load and analyze the stakeholder dataset, score power and interest, plot the matrix, assign engagement strategies, build and export a communication plan with AI.

Learn to craft a professional prompt to extract functional, non-functional, and implied requirements from meeting transcripts using AI models like ChatGPT, producing a ready-to-use formal requirements document.

Extract data fields from transcripts or documents using a professional prompt. Define core entities and fields, such as book ID, title, ISBN, loan, and audit log.

Discover a comprehensive prompt for extracting and categorizing embedded business rules from documents. Base analysis on provided text only, avoid speculation, and generate a structured rule inventory from transcripts.

Apply a four-tier scope classification (in scope, out of scope, deferred, ambiguous) with an MVP bias to guard resources, using decision constraints and a clear output format.

Learn to generate user stories and acceptance criteria using a ready-to-use template that assigns a product owner and QA lead, uses Gherkin format, and applies the invest standard.

Learn to use Lucidchart AI to generate a complete process flow diagram for the Westview library management system, including actors, primary and secondary processes, permissions, layout, and output for stakeholders.

Generate a production-ready SQL schema with Claude AI by using a detailed prompt to deliver a normalized relational model in third normal form with proper outputs and indexing guidance.

Use Claude AI to generate comprehensive test scenarios from attached requirements, guided by a senior QA architect. Produce structured, module-level validation plans and document the phase 1 core scenarios.

generate an access control and roles matrix for the system as a senior security architect. use the attached prompt and schema to define roles, permissions, resources, and mitigations.

Explore custom GPTs as customized mini assistants that leverage your own documents, PDFs, and templates, offering persistent instructions to act as your personal business analyst team.

Create a business analyst documentation assistant to help create, review, and improve BA artifacts, including BRDs, FRDs, and user stories with acceptance criteria, and process flows.

Use the business analyst documentation assistant to analyze a business problem, configure a GPT with tailored instructions, duplicate for testing, and refine conversation starters to partner with stakeholders.

Leverage a GPT agent to auto-generate a complete business requirements document from attached discovery interviews and stakeholder data, including scope, objectives, risks, and downloadable Word, PDF, or Markdown formats.

Integrate your company's knowledge into your GPTs by uploading BRD templates and standards, then prioritize this material to guide BRD outputs.

Explore how to manage and share GPT assistants, including editing, version history, reverting changes, permissions, duplicating, and publishing to the GPT store, plus searching and browsing GPTs for ideas.

Develop a gpt-powered stakeholder simulator for business analysts to practice manager-level conversations before meetings. It emphasizes clarity, scope control, and decision-making with customizable scenarios.

Explore how bias, fairness, and transparency affect AI in business analysis, and learn mitigation strategies, explainable AI tools, and alignment with regulatory standards.

Protect data privacy and confidentiality in AI-driven business analysis by ensuring compliance with GDPR and HIPAA, applying data minimization, security (encryption and anonymization), and transparent stakeholder communication to build trust.

Balance AI use with domain knowledge and human oversight to prevent bias amplification, maintain critical thinking, and ensure accountability, governance, and AI augmentation, not substitution.

Analyze a customer survey file with AI tools like ChatGPT to perform descriptive statistics, correlations, and age-group comparisons, generating leadership-ready reports, executive summaries, and downloadable analytic workbooks.

Explore 100 advanced prompts for business analysts to leverage AI tools like ChatGPT, including a privacy and PII handling plan with masking, tokenization, and access controls.

Prioritize a product backlog using ai and data analysis across eight tasks, loading 30 requirements for an e-commerce project and applying Moscow, value, and effort to guide sprint planning.