AI-Augmented Business Analytics

OVERVIEW The AI-Augmented Business Analytics Program is an online or instructor-led training program designed for students, graduates, business professionals, supervisors, entrepreneurs, and aspiring analysts who want to leverage Artificial Intelligence and business analytics to make better business decisions. Organizations increasingly expect professionals to use AI-assisted tools, interpret business data, communicate insights effectively, and support decision-making through evidence-based recommendations. This program develops practical skills in AI adoption, business analytics, Excel analytics, dashboard development, business reporting, and insight presentation. Unlike traditional analytics programs that focus heavily on programming, this course emphasizes practical business applications and no-code or low-code analytics techniques suitable for modern business professionals. AUDIENCE PROFILE • BBA, MBA and management students • Business professionals • Supervisors and team leaders • Entrepreneurs and small business owners • Administrative professionals • Customer service professionals • Sales and marketing professionals • Aspiring Business Analysts • Professionals seeking AI adoption skills PRE-REQUISITES • Basic computer literacy • Basic spreadsheet familiarity • Internet access • No programming experience required • No prior AI experience required COURSE TYPE Online/Hybrid/Instructor-Led Training DURATION 20 Hours PLACEMENT & CAREER SUPPORT • Resume Review • LinkedIn Profile Optimization • Portfolio Development • Interview Preparation Workshop • Mock Interviews • Career Coaching • AI-Augmented Analyst Career Guidance COURSE DESCRIPTION This practical program introduces learners to the effective use of AI and analytics in business environments. Participants learn how to transform observations into insights, create professional reports, analyze business data, build dashboards, and communicate recommendations to stakeholders. The course combines responsible AI practices with business analytics techniques and emphasizes decision-making, productivity, reporting, and business communication. Through practical exercises and a capstone project, learners develop job-ready skills that can be applied immediately in business settings. COURSE CURRICULUM Module 1 – AI in Business • Understanding Artificial Intelligence • Generative AI Fundamentals • Business Applications of AI • AI Adoption Across Industries • Marketing, HR, Operations and Customer Service Use Cases • Responsible AI Principles Module 2 – Prompt Engineering and AI Productivity • Prompt Fundamentals • Structured Prompting Techniques • AI for Research and Analysis • AI for Business Planning • Productivity Workflows Module 3 – AI-Assisted Business Documentation • Business Emails • Executive Summaries • Meeting Notes • Business Reports • Proposal Development • Professional Communication Standards Module 4 – Business Data Fundamentals • Understanding Business Data • Business Questions and KPIs • Data Categories • Data-Driven Decision Making • Analytical Thinking Module 5 – AI-Augmented Business Analysis • Problem Identification • Opportunity Assessment • Stakeholder Analysis • AI-Assisted Insight Generation • Mini Business Scenario Project Module 6 – Excel Analytics Fundamentals • Data Organization • Sorting and Filtering • Formulas and Calculations • Spreadsheet Best Practices Module 7 – Data Cleaning and Preparation • Data Quality Concepts • Missing Values • Duplicate Management • Validation and Formatting Module 8 – Pivot Tables and Data Visualization • Pivot Tables • Pivot Charts • Trend Analysis • Business Visualization Module 9 – Dashboard Development • KPI Reporting • Dashboard Design Principles • Insight Communication • Business Storytelling Module 10 – Capstone Project and Presentation • Business Problem Selection • Data Analysis • Dashboard Development • AI-Assisted Recommendations • Executive Presentation TOOLS COVERED • ChatGPT • Microsoft Copilot • Google Gemini • Claude • Microsoft Excel • Google Sheets • Power BI (Introduction) • Canva AI • Notion AI LEARNING OUTCOMES Upon completion, learners will be able to: • Use AI tools responsibly for business productivity • Create AI-assisted reports and recommendations • Organize, clean, and analyze business data • Build charts, pivot tables, and dashboards • Interpret business trends and patterns • Present findings using professional business language • Evaluate AI outputs critically • Create portfolio-ready business analytics deliverables CAPSTONE PROJECT Participants complete an end-to-end business analytics project involving: • Business problem identification • Data preparation and analysis • Dashboard creation • AI-assisted recommendations • Executive presentation PORTFOLIO DELIVERABLES • AI-Assisted Business Report • Excel Analytics Workbook • Dashboard Project • Executive Presentation Deck • Business Recommendation Document INTERVIEW PREPARATION • Business Analyst Interview Questions • Data Analyst Interview Questions • AI Adoption Interview Questions • Case Study Practice • Mock Interviews CERTIFICATION Participants who successfully complete all course requirements and the capstone project will receive a Certificate of Completion in AI-Augmented Business Analytics. CAREER OPPORTUNITIES • Business Analyst • Junior Data Analyst • Reporting Analyst • Operations Analyst • Market Research Analyst • Business Intelligence Associate • MIS Executive • Customer Insights Analyst • AI-Augmented Knowledge Worker • Management Trainee