To prepare for the specialization, take our optional prep course to learn or review the fundamentals.
CFI’s Business Intelligence Analyst (BIA) Specialization prepares you to discover the world of business intelligence through task-based learning with industry-leading, data analysis tools. Learn to visualize data with charts and graphs to create interactive and informative dashboards, and increase your productivity with the skills and knowledge to automate and streamline data transformation and analysis.
19 courses
14 required courses
97 Hours
Average completion time
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500,000+ 5-star ratings
Best-in-class training, as rated by you
This specialization consists of hands-on courses delivering practical, real-world data analysis and visualization skills using the latest tools and techniques.
To prepare for the specialization, take our optional prep course to learn or review the fundamentals.
Complete the core courses to build a strong foundation in business intelligence.
Choose a minimum of 3 electives to explore more advanced topics and specialized subjects.
Specializations allow narrow and deep focus on a targeted subject area, with particular attention to specific data analysis techniques and actionable skills.
They are designed to deepen your industry acumen and to prepare you for faster professional growth within the sector.
Over 75% of CFI learners report improved productivity or competency within weeks.
Exposed me to Business Intelligence concepts I previously had little knowledge about. The courses are so engaging, interesting and practical that I had to go through it twice before taking the test.
This was one of the best if not the best online course I’ve taken with CFI. I’m glad I could build such an advanced dashboard while understanding more concepts in Tableau.
As a regular Power BI user, I found the content of this course intuitive to follow. Important concepts were divulged in-depth, with a highlight on best practices.
This course further solidified my grasp of Tableau by introducing complex visuals that are applicable to real-world corporate applications intuitively.
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