Introduction to Business Analysis
Learn essential business analyst skills aligned with BABOK Guide. Develop process modeling, requirements gathering, and project management expertise.
Learn essential business analyst skills aligned with BABOK Guide. Develop process modeling, requirements gathering, and project management expertise.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM Business Analyst Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Understand job-ready skills aligned with the BABOK Guide to kickstart your career as a business analyst
Develop hands-on practical skills for process modeling and requirements gathering
Learn strategies for stakeholder engagement and project management
Master fundamental concepts and techniques for systems analysis and data visualization
Gain proficiency in digital transformation and technology assessment
Explore the role of AI in enhancing business analysis practices
Skills you'll gain
This course includes:
13 Hours PreRecorded video
10 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This comprehensive course introduces the fundamentals of business analysis and its significance within organizations. Students learn key responsibilities of a business analyst and critical skills required for success in this field. The curriculum explores practical applications across various industries, focusing on essential processes like gap analysis and requirements gathering. The course covers digital transformation in business analysis, emphasizing digital strategy, technology assessment, and the role of AI in enhancing business analysis practices. Through a mix of theory, activities, and labs, students acquire expertise in popular business analysis tools and techniques, preparing them for ECBA certification and career opportunities in this growing field.
Basics of Business Analysis
Module 1 · 3 Hours to complete
Business Analysis Process
Module 2 · 3 Hours to complete
Business Analysis Practical Applications
Module 3 · 3 Hours to complete
Final Project
Module 4 · 3 Hours to complete
Fee Structure
Instructors
Technology Education and Skills Development Leader at IBM
Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers
Distinguished Technology Professional with Two Decades of Global IT Experience
This professional brings over 20 years of comprehensive IT experience across multinational corporations including IBM and Oracle, with expertise spanning both Indian and US markets. Their strong academic foundation includes multiple degrees: a Bachelor's in Mathematics, B.Tech and M.Tech in Computer Science, culminating in a Master of Computer Science in Data Science from the prestigious University of Illinois at Urbana-Champaign. Their educational background combines theoretical knowledge with practical applications, particularly valuable in today's data-driven technology landscape. According to current trends, professionals with this combination of extensive IT experience and specialized data science education are highly sought after, with the U.S. Bureau of Labor Statistics projecting a 35% growth in data science positions from 2022 to 2032
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4.7 course rating
103 ratings
Frequently asked questions
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