Data Visualization and Cloud Technologies
Master data visualization and cloud technologies for business analytics in this comprehensive 8-week course from WisconsinX.
Master data visualization and cloud technologies for business analytics in this comprehensive 8-week course from WisconsinX.
In this comprehensive course from WisconsinX, students will gain hands-on experience in data visualization and cloud technologies for business analytics. The program is structured into two main parts: the first half focuses on creating and sharing impactful data visualizations to enhance decision-making processes, while the second half delves into cloud technologies for building scalable data warehouses, analyzing big data, and developing machine learning models. Students will learn to integrate visualizations into business functions, understand the cloud landscape including vendors and costs, and gain practical experience in managing cloud data warehouses and deploying machine learning models.
Instructors:
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What you'll learn
Create and share compelling data visualizations and dashboards for business insights
Integrate visualizations into business functions to support decision making
Explain the cloud landscape including vendors services and costs
Setup and manage cloud data warehouses effectively
Build and deploy machine learning models in cloud environments
Analyze big data using cloud-based tools and technologies
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Module Description
This comprehensive course combines data visualization and cloud technologies for business analytics. The curriculum is structured into two main components: data visualization techniques and cloud technology applications. Students learn to create compelling visualizations, build data warehouses, analyze big data, and implement machine learning models in cloud environments. The course emphasizes practical applications and decision-making in business contexts, providing hands-on experience with modern analytics tools and platforms.
Fee Structure
Instructor
2 Courses
Expert in Business Analytics and Cloud Computing Technologies
Katie Gaertner serves as a Business Analytics Lecturer in the Department of Risk and Insurance at the University of Wisconsin-Madison's School of Business, where she brings extensive real-world experience to the classroom. With a diverse academic background including degrees in Statistics from Brigham Young University, Public Administration from the University of Arizona, and Data Science from Northwestern University, she combines theoretical knowledge with practical expertise. Her professional journey spans both public and private sectors, having served as an analyst for three Utah governors and most recently as a Machine Learning Engineer leading cloud data strategy in the financial industry. At UW-Madison, she teaches Data Visualization and Cloud Technologies in the Master of Science-Business: Data, Insights, and Analytics program, where she prepares students for real-world analytics challenges using Amazon Web Services platforms. Her teaching philosophy emphasizes hands-on experience with cloud data tools, including data lakes, scalable data warehouses, and machine learning services, ensuring students develop competitive skills for today's data-driven job market
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Frequently asked questions
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