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This short on “How To Become a Business Analyst in 2026” by Simplilearn provides a complete roadmap to start your career as a Business Analyst. Learn the key skills required, including data analysis, requirement gathering, stakeholder management, SQL, Excel, and visualization tools like Power BI and Tableau. This course also covers important concepts such as business processes, Agile methodologies, and real-world case studies to help you understand how businesses make data-driven decisions. Whether you’re a beginner or planning a career switch, this roadmap will guide you step by step to build the right skills and grow in the field of business analysis.
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➡️ About Business Analyst Certification Overview
The AI-Powered Business Analyst course helps you master planning, elicitation, stakeholder management, and solution evaluation. Gain hands-on experience with Excel, SQL, Power BI, GenAI, and build job-ready skills in Agile, product thinking, RPA, and more. Earn a certificate to boost your credibility.
Key Features
✅ Earn 35 PDs/CDUs with the BABOK® v3 aligned CBAP® Certification Live Training
✅ Master 10+ GenAI Powered in-demand business analysis tools like Power BI, Excel, SQL, and more
✅ Engage with 10+ industry projects and 40+ case-based activities using real-world tools and scenarios
✅ Explore AI-Powered Business Analysis with Generative AI tools like ChatGPT, Copilot & more
✅ Learn to identify automation opportunities, document processes, and collaborate with RPA teams
✅ Earn official trophy and badges for ‘Microsoft Azure Data Fundamentals’ on the Microsoft Learn portal
✅ Develop skills in Agile frameworks, backlog grooming, stakeholder mapping, design thinking, and BPMN
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
Skills Covered
✅ 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
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