Data Analysis and Visualization
Master data analysis tools and visualization techniques to create compelling data stories and drive business insights in this comprehensive course.
Master data analysis tools and visualization techniques to create compelling data stories and drive business insights in this comprehensive course.
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 Data-Driven Decision Making (DDDM) Specialization 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
(130 ratings)
15,830 already enrolled
Instructors:
English
Basa Jawa / ꦧꦱꦗꦮ, Tiếng Việt
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What you'll learn
Identify key stakeholders and components for analytics projects
Evaluate different analysis and visualization tools
Monitor and analyze process variation using SPC
Create compelling data stories and visualizations
Develop data-driven strategies and insights
Use popular visualization tools effectively
Skills you'll gain
This course includes:
1.3 Hours PreRecorded video
3 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This comprehensive course provides a high-level overview of data analysis and visualization tools, preparing learners to develop data-driven strategies. The curriculum covers key areas including data analysis software tools (R, Minitab, MATLAB, Python), statistical process control (SPC) for analyzing variation over time, and data visualization techniques using tools like Tableau, Excel, and Power BI. Through practical modules and hands-on projects, participants learn to create compelling data stories, identify process variations, and develop actionable insights for business improvement.
Data Analysis Software Tools
Module 1 · 3 Hours to complete
Statistical Process Control (SPC)
Module 2 · 2 Hours to complete
Data Visualization and Translation
Module 3 · 3 Hours to complete
Project: Data Analysis and Visualization
Module 4 · 2 Hours to complete
Fee Structure
Instructors
Senior Business Intelligence Analyst and Instructor at The State University of New York
Brittany O'Dea is a Senior Business Intelligence Analyst at Delaware North, a global hospitality company, where she leads the analytics team for the gaming division. In her role, she focuses on evaluating and implementing analytics and data visualization platforms, developing best practices for onboarding and training new analysts. Brittany's background includes serving as the marketing director for one of the largest auction houses in the Buffalo-Niagara region. She holds an MBA from the University at Buffalo, specializing in finance and analytics.On Coursera, Brittany teaches courses such as "Applied Analytics and Data for Decision Making" and "Data Analysis and Visualization," aimed at equipping professionals with essential skills for data-driven decision-making. Her expertise in analytics and commitment to fostering a data-centric culture in organizations make her a valuable resource for students looking to enhance their analytical capabilities.
Lean Six Sigma Expert and Operational Excellence Director at the University at Buffalo
Peter Baumgartner is the Operational Excellence Director at the University at Buffalo's The Center for Industrial Effectiveness (TCIE), where he specializes in Lean Six Sigma methodologies. As a Certified Lean Six Sigma Master Black Belt, he has successfully led numerous process improvement projects across various industries, including manufacturing, healthcare, and finance, achieving significant cost savings and operational efficiencies. He holds a Master’s degree in Applied Statistics from the Rochester Institute of Technology and a Bachelor’s degree in Chemical Engineering from the State University of New York at Buffalo.In his role at UB TCIE, Baumgartner focuses on developing others' potential through training in Lean and Six Sigma principles. He teaches courses such as "Data Analysis and Visualization" and "Data-Driven Process Improvement" on Coursera, equipping students with essential skills for effective data-driven decision-making in their organizations.
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4.7 course rating
130 ratings
Frequently asked questions
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