Power BI, KPIs, data warehousing, exploratory analysis and predictive models.
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Accredited by SACSCOC — the same commission that accredits universities across the United States.
San Marcos and Managua campuses. No visa, no relocation, no leaving your family behind.
This course focuses on the characteristics, uses and design strategies for IT-based managerial decision support.
It emphasizes data-oriented techniques for business intelligence and corporate decision-making. The technological context includes an overview of the business intelligence framework, business process management, and application-based business analysis and reporting.
Specific Power BI techniques include business reporting through charts, descriptive statistics, statistical process control and other common tools for improving business processes.
University students, professionals in any business, administration or IT-related field, entrepreneurs, and anyone who wants to understand how to use data to improve commercial strategy. No prior technical experience required, though Excel knowledge is preferable.
40 hours
Spanish
Hybrid · 6–8 pm
Managua
Varies by program and campus — confirm with an advisor
Keiser University, accredited by SACSCOC
Business Intelligence concepts for analysis and decision-making.
Key performance indicators and aligning management to strategy.
Building a BI system including reports and dashboard design.
Estimating means and proportions in business contexts.
Designing a warehouse for proper data management and storage.
Exploratory data analysis and predictive models for regression and classification.
The Business Intelligence concept · Key Performance Indicators · Aligning management to strategy · How companies organize to apply BI · Data-specialist professional profiles · BI components · Designing your first dashboard
Difference between data, information and knowledge · Basic statistics for data analysis · Using Excel for exploratory analysis · Power BI and its basic functions
The importance of databases in business · Deeper Power BI functionality · Designing a Power BI dashboard from a CSV source · Using a SQL data warehouse to build dashboards
Difference between AI, data mining, machine learning and predictive analysis · What predictive analysis involves in practice · Relating these concepts to real cases · Machine learning algorithms · Supervised, unsupervised and deep learning · Regression vs. classification algorithms · Final project
Course sequence is indicative. Your admissions counselor will confirm the current plan of study.
Reporting and dashboards for decision support.
Turning company data into insight.
Building and maintaining management reporting.
Process improvement through measurement.
Sales and market analysis.
Managing with evidence rather than instinct.
Bachiller or equivalent secondary qualification.
Cédula or valid passport.
Required for the on-campus sessions.
Submitted online or through an advisor.
A counselor confirms this is the right program for your goals.
We guide you document by document. You never do it alone.
We review scholarship and financing options together.
Registration, orientation and your first day as a Keiser student.
Master · IT/Computer Sciences
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Graduate Certificate in Web Application Development, Boston University
B.S. in Software Engineering, Keiser University, San Marcos, Software Engineering
Our faculty combines international graduate training with active professional experience in Nicaragua.
Meet the faculty
A 14:1 student-faculty ratio across the university. Class sizes vary by program, but you are taught in a group small enough to be known by name.
Our model
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View programTalk to an admissions counselor about Diplomado in Business Intelligence. No commitment, no cost.