Data Visualization and Dashboards with Excel and Cognos
Master data visualization using Excel and IBM Cognos Analytics to create compelling charts, graphs, and interactive dashboards.
Master data visualization using Excel and IBM Cognos Analytics to create compelling charts, graphs, and interactive dashboards.
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.
4.7
(3,695 ratings)
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Instructors:
English
বাংলা, اردو, Azərbaycanca, 1 more
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What you'll learn
Create basic charts and graphs using Excel
Develop advanced visualizations and interactive dashboards
Master IBM Cognos Analytics for data visualization
Build effective data storytelling presentations
Implement best practices in dashboard design
Skills you'll gain
This course includes:
1.85 Hours PreRecorded video
7 quizzes, 3 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 4 modules in this course
This comprehensive course teaches data visualization and dashboard creation using Excel and IBM Cognos Analytics. Students learn to create basic charts (line, pie, bar) and advanced visualizations (Treemaps, Scatter Charts, Histograms, Filled Map Charts, Sparklines) in Excel. The course progresses to interactive dashboard development using Excel PivotCharts and Cognos Analytics. Through hands-on labs and a final project, learners develop practical skills in creating effective data visualizations and storytelling with data.
Visualizing Data Using Spreadsheets
Module 1 · 2 Hours to complete
Creating Visualizations and Dashboards with Spreadsheets
Module 2 · 2 Hours to complete
Creating Visualizations and Dashboards with Cognos Analytics
Module 3 · 5 Hours to complete
Final Project
Module 4 · 4 Hours to complete
Fee Structure
Instructors
Leading Data Scientist Bridging Academia and Industry Innovation
Sandip Saha Joy is a Cognitive Data Scientist at IBM Developer Skills Network while pursuing his Bachelor of Science with Specialization in Computing Science at the University of Alberta, Canada. His professional journey includes roles as a Teaching Assistant and Undergraduate Research Assistant in the Department of Computing Science at the University of Alberta, where he honed his expertise in Machine Learning, Deep Learning, Statistical Modeling, Computer Vision, and Digital Image Processing. In his current position at IBM, he excels in developing data-driven applications, constructing data science pipelines, deploying machine learning and deep learning models, and exploring innovative frameworks. His commitment to education shines through his work as an instructor for various technical courses, focusing on data analysis, database management, and cloud computing, while maintaining a passionate drive to learn and share new technologies in the rapidly evolving field of artificial intelligence.
Veteran Microsoft Certified Trainer and Educational Content Developer
Steve Ryan serves as a Senior Instructional Designer and Content Developer at SkillUp Technologies, bringing over 25 years of IT expertise and educational content development experience. His credentials include being a Microsoft Certified Trainer (since 1997) and Microsoft Certified Systems Engineer (since 1998), with specialized knowledge in server and desktop operating systems, TCP/IP networks, SharePoint Server, and cloud technologies. For the past 19 years, he has focused on developing comprehensive educational content, creating both classroom and online learning materials for major organizations in the UK and USA. His expertise spans multiple areas including data visualization, office productivity software, and database management. Based in the UK, he has developed numerous courses including Excel data analysis, Microsoft Office applications, and advanced data analytics with Tableau. His teaching methodology combines technical expertise with practical application, making complex technological concepts accessible to learners of all levels.
Testimonials
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4.7 course rating
3,695 ratings
Frequently asked questions
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