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AI-Powered Business Analyst Learning Path

AI-Powered Business Analyst Certification Course

AU$1,077.04

In collaboration with IBM and as a knowledge partner with EY, Simplilearn offers a AI-Powered Business Analyst Master’s Program that helps you gain an understanding of all three aspects of business analysis: requirements elicitation, business analysis planning and monitoring, and requirements management & communication. The program helps you gain the skills and exposure to concepts including data analysis, Agile Scrum methodologies, statistics, MS Excel, Tableau, R, Python, and SQL databases, by preparing you for an exciting career in business analysis.

    Explore AI-Powered Business Analysis with Generative AI tools like ChatGPT, Copilot & more
    Engage with 10+ industry projects and 40+ case-based activities using real-world tools and scenarios
    Develop skills in Agile frameworks, backlog grooming, stakeholder mapping, design thinking, and BPMN
    Earn 35 PDs/CDUs with the BABOK® v3 aligned CBAP® Certification Live Training
    Learn to identify automation opportunities, document processes, and collaborate with RPA teams
    Master 10+ GenAI Powered in-demand business analysis tools like Power BI, Excel, SQL, and more
    Earn official trophy and badges for ‘Microsoft Azure Data Fundamentals’ on the Microsoft Learn portal

    Program Delivery Method

    Online Bootcamp: Online self-paced video-based learning and live virtual classroom conducted by the industry’s leading coaches.

    Data Analyst Learning Path

    Prerequsites

    There are no prerequisites for participating in the program. The syllabus in this AI-Powered Business Analyst Training course covers all the fundamentals, however, prior business analysis expertise is recommended.

    • Business Analysis
    • Data Elicitation
    • Data Analysis
    • Data Visualization
    • Data Cleaning
    • Data Preparation
    • Life Cycle Management
    • Strategy Analysis
    • Solution Evaluation
    • Excel Macros
    • Excel VBA
    • Pivot Table
    • Dashboarding
    • Data Modeling
    • Model Calculations
    • Model Performance
    • Documentation
    • Collaboration
    • Process Mining
    • Agile Thinking
    • Agile Methodologies
    • Design Thinking
    • Data Querying
    • Excel
    • Exin Agile Scrum Foundation
    • Exin Agile Scrum Master
    • Tableau
    • Jira
    • ChatGPT
    • MySQL
    • Gemini
    • Python
    • R
    • E 2
    • Use statistical tools and concepts like moving averages, ANOVA, hypothesis testing, and regression to data sets using Excel
    • Understand the fundamentals of Excel analytics functions and conditional formatting
    • Gain basic knowledge of the Agile perspective
    • Learn how to analyze data using Tableau and become proficient in building interactive dashboards
    • Gain expertise in Agile Scrum methodologies and their applications, sprint planning and reviewing, and daily Scrum synchronization
    • Understand business analysis key concepts & business analysis core concept model (BACCM)
    • Acquire advanced knowledge of identifying, defining, assessing, & completing various elements of business analysis tasks
    • Master SQL concepts
    • Plan, execute, monitor, & track a Scrum project
    • Absorb Agile philosophy & gain deep knowledge of Scrum. Effectively apply Scrum in your organization
    • Certified Business Analysis Professional (CBAP®)
    • AI Powered Business Analytics with Excel
    • GenAI Powered SQL for Business Analysts
    • Microsoft Power BI with AI-Assistance
    • RPA, Business Automation and Process Mining Basics
    • Product First Thinking and Agile Frameworks
    • Business Analysis Capstone Project

      Electives:


    • DA: Tableau Desktop Specialist Certification Training
    • CCBA®
    • Essentials of Generative AI, Prompt Engineering & ChatGPT
    • BA: Microsoft Azure Data Fundamentals

    This AI-Powered Business Analyst Master’s program is best suited for aspiring business analysts including: recent college graduates and those looking to make a career change, IT professionals, beginners in the data analytics domain, administrators, project leads, project managers, banking and finance professionals, marketing managers, and supply chain network managers.

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