Statistical analysis with Excel

Galileo University, founded in 2000 in Guatemala City, is a private institution known for innovation, strong technology orientation and practical digital learning. As one of the region’s technology-forward universities, Galileo emphasizes science, engineering, data science and entrepreneurship across a compact portfolio of programs. The institution has built a reputation for accessible, career-focused education that responds to modern workforce needs in Guatemala and beyond.

Academically, Galileo offers a blend of in-person and online formats, having been an early adopter of fully online degree delivery in Latin America. Programs focus on areas such as artificial intelligence, software engineering, data analytics and business technology, with curricula developed in collaboration with industry partners. State-of-the-art digital platforms, applied projects and internship opportunities help students build portfolio-ready skills and strengthen employability in technology sectors.

The university combines practical training with an entrepreneurial mindset and social impact initiatives. Students benefit from collaborations with international institutions, career services that connect learners to regional employers and startup support for innovators. For international applicants seeking a technology-driven education in Central America, Galileo offers flexible learning modes, strong digital literacy development and a pathway into a region with growing demand for tech talent.

The Statistical analysis with Excel program is a non-degree course offered by Galileo University in Guatemala City. It's taught in English, lasts for 1 week, and is available online. The program is open to students with a pre-high school education level, making it accessible to a broad range of students.

The curriculum focuses on statistical analysis using Excel. Students will learn about data visualization, regression analysis, and hypothesis testing. They will develop skills in data interpretation and statistical modeling, with hands-on exercises to help them apply their knowledge.

After completing this program, students can pursue careers like Data Analyst, Business Analyst, or Operations Research Analyst. They can work in industries such as finance, marketing, or logistics, for employers like Deloitte, Accenture, or Procter & Gamble.