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This video on CBAP Full Course 2026 by Simplilearn will help you learn business analysis concepts and prepare for CBAP certification in a simple and structured way. The course begins with an introduction to business analysis and explains the role of a business analyst in organizations. You will learn key concepts such as requirement gathering, stakeholder management, and business process modeling. The tutorial covers important knowledge areas from the CBAP syllabus and real-world case studies. You will also understand tools, techniques, and best practices used by business analysts. By the end of this CBAP tutorial for beginners, you will clearly understand business analysis concepts and be ready to start your CBAP certification journey.

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➡️ About Professional Certificate Program in Data Analytics and Generative AI

Amidst data abundance, businesses today are leveraging analytics and AI for operational efficiency and innovation. This IIT Guwahati Data Analytics Program with Gen AI equips learners with in-demand skills in data analytics and generative AI. It covers key tools and concepts like Excel, SQL, Python, exploratory data analysis, ETL, Tableau, and more.

Key Features
✅ Certificate of program completion from the E&ICT Academy at IIT Guwahati
✅ Curriculum delivered in live online classes by experienced industry veterans
✅ Best-in-class training on GenAI and its diverse applications in the analytics domain
✅ Exposure to ChatGPT, Claude, Gemini, and other prominent GenAI tools
✅ Academic masterclasses delivered by IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
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✅ Practical learning through 20 hands-on projects and 3 capstone projects

Skills Covered
✅ Generative AI
✅ Prompt Engineering
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✅ Data Analytics using R
✅ Data Visualization with Tableau
✅ Data Storytelling with Power BI
✅ Extract Transform and Load
✅ Statistical Analysis using Excel
✅ SQL
✅ Building Data Pipelines
✅ Regression Analysis
✅ Time Series Analysis
✅ Supervised Learning
✅ Unsupervised Learning

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