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Business Analyst Learning Path

Business Analyst Certification Course

US$699.00

In collaboration with IBM and as a knowledge partner with EY, Simplilearn offers a 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.

    8X Higher live interaction with applied learning in live online classes by industry experts
    Earn 22 PMI PDUs post completion of the CCBA® module
    CBAP and CCBA courses aligned with the standards of IIBA® BABOK V3
    Industry-recognized certificates from IBM (for IBM courses) and Simplilearn
    Learn to leverage Generative AI tools like ChatGPT, Gemini, Midjourney and Dall-E 2
    Harvard Business Publishing case studies of Pearson and EvCard
    Earn 35 PDs/CDUs and 25 PMI PDUs post completion of the CBAP® module
    Capstone from 3 domains and 14+ projects
    Masterclasses from IBM experts

    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 Business Analyst Training course covers all the fundamentals, however, prior business analysis expertise is recommended.

    • Business Analysis
    • Elicitation and Collaboration
    • BRD FRD and SRS Document Creation
    • Requirements Analysis
    • Planning and Monitoring
    • Requirements Life Cycle Management
    • Strategy Analysis
    • Wireframing
    • Problem Solving
    • Solution Evaluation
    • Tableau
    • Dashboarding
    • Data Analysis
    • Data Visualization
    • Agile scrum methodology
    • Scrum Artifacts
    • Microsoft Excel
    • SQL Database
    • Python
    • Digital Transformation
    • Mathematical Programming
    • Generative AI
    • 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®)
    • Tableau Desktop Specialist Certification Training
    • Data Analysis and Visualization with Python
    • Mathematical Optimization for Business Problems by IBM
    • Business Analyst Capstone
    • Harvard Business Publishing Case Studies for Business Analysis

    Elective :

    • Business Analyst IBM Master Class
    • CCBA®
    • Agile Scrum Master
    • SQL Training
    • Data Science with R Course
    • Business Analytics with Excel
    • Statistics Essentials for Data Science
    • Essentials of Generative AI, Prompt Engineering & ChatGPT

    This 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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