Business Intelligence (BI) Essentials
Master business intelligence analysis: data wrangling to visualization. Transform raw data into actionable insights for strategic decision-making.
Master business intelligence analysis: data wrangling to visualization. Transform raw data into actionable insights for strategic decision-making.
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 Intelligence (BI) 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.
4.8
(137 ratings)
20,691 already enrolled
Instructors:
English
پښتو, فارسی
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What you'll learn
Understand key BI concepts and implementation strategies
Apply data analytics techniques for business insights
Evaluate and select appropriate BI tools and technologies
Develop data visualization and reporting skills
Implement complete BI projects from planning to execution
Skills you'll gain
This course includes:
4.3 Hours PreRecorded video
4 quizzes, 19 assignments
Access on Mobile, Desktop, Tablet
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 6 modules in this course
This comprehensive course introduces the fundamentals of business intelligence (BI) and its application in modern business. Students learn about data ecosystems, analytics types (descriptive, diagnostic, predictive, and prescriptive), and essential BI components. The curriculum covers practical skills in data gathering, wrangling, mining, and visualization. Through hands-on projects and real-world scenarios, participants develop expertise in using BI tools and techniques for extracting actionable insights from data.
Introduction to Business Intelligence (BI)
Module 1 · 2 Hours to complete
The Data Ecosystem
Module 2 · 3 Hours to complete
BI Analytics Landscape
Module 3 · 2 Hours to complete
Gathering and Wrangling Data
Module 4 · 1 Hours to complete
Mining and Visualizing Data and Communicating Results
Module 5 · 2 Hours to complete
Applying BI Techniques and Final Project
Module 6 · 2 Hours to complete
Fee Structure
Instructor
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
Testimonials
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4.8 course rating
137 ratings
Frequently asked questions
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