This course is part of multiple programs. Learn more.
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 Data Engineering 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.
1,916 already enrolled
Instructors:
English
What you'll learn
Create interactive visualizations with IBM Cognos Analytics
Build dynamic dashboards using Google Looker Studio
Connect and analyze data from various sources
Design effective data visualizations
Share and collaborate on BI dashboards
Skills you'll gain
This course includes:
1.45 Hours PreRecorded video
5 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 3 modules in this course
This hands-on course teaches professionals how to create powerful business intelligence dashboards using IBM Cognos Analytics and Google Looker Studio. Students learn to connect to data sources, create interactive visualizations, and build comprehensive dashboards without coding. The curriculum covers fundamental concepts of business intelligence and data visualization, while providing practical experience through hands-on labs with real-world datasets. The course culminates in a final project where students demonstrate their ability to create and share professional-quality dashboards.
IBM Cognos Analytics for Data Analysis and Visualization
Module 1 · 3 Hours to complete
Data Visualizations and Dashboards with Google Looker Studio
Module 2 · 4 Hours to complete
Final Project, Final Exam, and Course Wrap-Up
Module 3 · 3 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: IBM Data Engineering Professional Certificate, IBM Data Warehouse Engineer Professional Certificate, BI Foundations with SQL, ETL and Data Warehousing
Instructors
IBM at Skills Network
The IBM Skills Network is a global education initiative by IBM aimed at developing in-demand skills in areas such as software development, cybersecurity, cloud computing, and professional soft skills. Delivered through platforms like edX, the Skills Network provides practical, industry-aligned training backed by IBM’s real-world expertise. These courses blend technical depth with hands-on learning and are designed to prepare students for certification and entry-level tech roles in today's competitive job market.
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
Testimonials
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.






