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Power BI, end to end
From your first scorecard to a dashboard connected to a SQL data warehouse. You leave with a system you built, not with theory.
Diploma in Principles of Business Intelligence
You have the data. What's missing is the dashboard that decides
Forty hours to move from the spreadsheet to the system: define the KPIs that matter, build the dashboard in Power BI, connect it to a data warehouse, and understand what a model can and can't predict.
No prior technical experience required, but familiarity with Excel helps.
Diploma from a U.S. university
Highly qualified faculty
Personalized classes
International network
The diploma
Principles of Business Intelligence
Focuses on the features, uses and design strategies of technology-based support for managerial decisions, with an emphasis on data-driven techniques for business intelligence and corporate decision-making.
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From data to KPI
The difference between data, information and knowledge, and how to align management with strategy through key performance indicators.
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A doorway into predictive analytics
What machine learning is, how supervised learning differs from unsupervised, and what to realistically expect from a model.
Syllabus
Four weeks, four stages
Focuses on the features, uses and design strategies of technology-based support for managerial decisions, with an emphasis on data-driven techniques for business intelligence and corporate decision-making.
01Week 1
BI fundamentals and your first dashboard
What Business Intelligence is and what a KPI is. How companies organize themselves to apply BI, what each data role actually does, and building your first scorecard.
BI conceptKPIsStrategic alignmentBI componentsFirst dashboard
02Week 2
Exploratory analysis
The difference between data, information and knowledge. Basic descriptive statistics and exploratory analysis in Excel, before moving on to Power BI.
Descriptive statisticsExploratory analysisExcelPower BI basics
03Week 3
Databases and data warehousing
Why databases matter in business. A Power BI dashboard fed by a CSV source, then by a SQL data warehouse.
CSV sourcesData warehouseSQLConnected dashboards
04Week 4
Machine learning and predictive analytics
What predictive analytics is about and how professionals apply it. Machine learning algorithms and the difference between supervised, unsupervised and deep learning.
Predictive analyticsML algorithmsSupervised learningDeep learningReal cases
Profile
Who it's for
Professionals in business, administration, IT or statistics, entrepreneurs, and anyone who wants to put data to work improving their business strategy. No prior technical experience required.
- Apply fundamental Business Intelligence knowledge to business analysis.
- Assess the impact of decision-support tools within an organization.
- Design and build a BI system in Power BI, with reports and dashboards.
- Use statistical techniques to estimate means and proportions in business problems.
- Design a data warehouse for data management and storage.
- Carry out exploratory analysis and apply predictive models to historical data.
The Graduate Program in Strategic Marketing is a parallel specialization, not a step on this path. It goes deeper into marketing without counting credits toward the MBA.
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An advisor confirms the next start date and explains the enrollment process. We contact you within 24 hours.
Phone+503 2250-3050
CampusMillennium Plaza, 2nd floor, suite 219
Paseo General Escalón 3675, San Salvador
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