This course is the final step in the Data Analysis and Visualization Foundations Specialization. It contains a graded final examination that covers content from three courses: Introduction to Data Analytics, Excel Basics for Data Analysis, and Data Visualization and Dashboards with Excel and Cognos.
Assessment for Data Analysis and Visualization Foundations
Assessment for Data Analysis and Visualization Foundations
This course is part of multiple programs.
Instructor: IBM Skills Network Team
Sponsored by IEM UEM Group
18,624 already enrolled
Gain insight into a topic and learn the fundamentals.
4.6
(258 reviews)
Beginner level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Demonstrate readiness for performing foundational data analysis and data visualization tasks and key steps in the Data Analytics process.
Differentiate between the roles different data professionals play in a modern data ecosystem.
Perform basic Excel tasks for Data Analysis including data quality and data preparation skills.
Exhibit abilities in visualizing data using Excel and proficiency in creating dashboards using Excel and Cognos Analytics.
Details to know
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Assessments
1 assignment
Taught in English
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There is 1 module in this course
This module will test your knowledge and the skills you’ve acquired so far. This module contains the graded final examination covering content from three courses: Introduction to Data Analytics, Excel Basics for Data Analysis, and Data Visualization and Dashboards with Excel and Cognos.
What's included
3 readings1 assignment3 plugins
Instructor
Instructor ratings
4.8 (67 ratings)Offered by
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4.6
258 reviews
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Showing 3 of 258
SA
5
Reviewed on Oct 22, 2024
Thank you for this opportunity to learn about Data Analytics in the comfort of my home!
OR
5
Reviewed on Feb 2, 2023
The assessment was very profitable i hard to recall all the videos for data analysis. It was worth it.
AJ
5
Reviewed on Jun 5, 2024
Very detailed and valuable course in Data Analysis and Visualization Foundations
Recommended if you're interested in Data Science
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