Business Analytics with Excel: Elementary to Advanced

Johns Hopkins University in Baltimore, founded in 1876, is a leading research university with a global reputation for excellence across medicine, public health, engineering, the arts and sciences. The university enrolls around 32,049 students, including approximately 5,233 international scholars, and offers an extensive portfolio of programs—about 238—across undergraduate, graduate and professional levels.

Johns Hopkins emphasizes research-led education, interdisciplinary collaboration and hands-on learning through labs, clinics and community partnerships. International students can access comprehensive support services for admissions, visas, academic advising and career development, and can participate in research opportunities, internships and global exchange programs that enhance professional prospects and real-world experience.

Baltimore’s urban setting provides access to vibrant cultural life, medical centers and industry partners, making it well suited for students interested in translational research and public service. The university’s strong alumni network, career services and industry links help graduates move into competitive roles worldwide, while campus resources support wellbeing, student activities and a diverse international community.

This program is a non-degree course in Business Analytics with Excel, offered by Johns Hopkins University. It's for those who want to learn data-related methods and models for decision making. The course lasts several weeks and helps students become comfortable with translating trade-offs into models.

The curriculum covers analytical frameworks used for decision making, including Linear and Integer Optimization, Decision Analysis, and Risk modeling. Students learn to apply these methodologies to real-world business problems using Excel, focusing on formulating problems, optimizing models, and interpreting results.

After completing this program, students can pursue careers as Operations Research Analysts, Management Consultants, Business Analysts, Data Analysts, or Quantitative Analysts. They can work in various industries, including finance, healthcare, and logistics, and can be employed by companies like IBM, Accenture, or Deloitte.