Learn to extract and transform data for decision-making using Power BI dashboards, analytical processing systems, and practical business intelligence methods.
Learn to extract and transform data for decision-making using Power BI dashboards, analytical processing systems, and practical business intelligence methods.
This comprehensive course teaches you to make successful business decisions through complete data management processes. You'll master extracting raw data, integration, visualization, cleaning, analysis, and utilization techniques to transform it into valuable decision-making inputs. The course features Power BI as a powerful business analysis tool, teaching you to create dashboards that simplify decision-making and reporting processes. With access to tutorials, practical cases, and real-world examples, you'll understand how to apply data power to businesses of any size. As the second course in the Business Intelligence Professional Certification Program, it complements the first course on Business Statistics, providing both theoretical knowledge and practical experience under the guidance of Jorge Samayoa, Ph.D. from Purdue University.
Instructors:

Preng Biba

Jorge Samayoa
Spanish
Español
What you'll learn
Learn to use Power BI for business analysis Understand OLAP systems for data collection Master data collection, analysis and cleaning techniques Discover useful operational data and transform it into information Learn the decision-making process workflow Use decision support systems (DSS) effectively Implement business intelligence best practices Configure comprehensive business intelligence dashboards Utilize various business intelligence tools Understand which software supports business intelligence
Skills you'll gain
This course includes:
PreRecorded video
Graded assessments, exams
Access on Desktop, Mobile, Tablet
Limited Access access
Shareable certificate
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There are 10 modules in this course
This course covers essential tools and techniques for business intelligence, focusing on practical applications of data analysis for decision-making. Students will learn to use Power BI for creating insightful dashboards and reports. The curriculum includes OLAP (Online Analytical Processing) systems, data extraction, integration, visualization, and analysis techniques. Participants will master the process of transforming raw data into actionable insights through proper cleaning and interpretation. The course emphasizes decision support systems (DSS) and best practices in business intelligence reporting. Through hands-on exercises and real-world case studies, students will develop skills in generating test data, building comprehensive business reports, and implementing effective business intelligence practices that can be applied to organizations of any size.
Uso de herramientas de business intelligence
Module 1
OLAP (Online Analytical Processing) y OLTP (Online Transactional Processing)
Module 2
Fuentes de bases de datos, sistemas de bases de datos y servicios web (API)
Module 3
Extracción, integración, visualización y análisis de datos
Module 4
Transformación de data en datos, información y decisiones
Module 6
Decision Making y Decision Support System (DSS)
Module 7
Generar data para pruebas
Module 8
Uso de Microsoft Power BI para inteligencia de negocios
Module 9
Reportes de negocios y buenas prácticas de inteligencia de negocios
Module 10
Fee Structure
Payment options
Financial Aid
Instructors

Preng Biba
3 Courses
Operations Research Institute at Galileo University
Preng Biba is a mechatronics engineer and researcher at Galileo University, specializing in operations research and network protocol interoperability.

Jorge Samayoa
3 Courses
Director of the Operations Research Institute at Galileo University
Jorge Samayoa, PhD from Purdue, is Director of the Operations Research Institute at Galileo University, specializing in industrial engineering and analytics.
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