A repository for a Business Analytics course covering R, Excel, Power BI, and SQL, with materials for hands-on learning in digital marketing, finance, and strategy.

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2026-07-29

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FR-AI / ANALYSIS

Why it is worth attention

Provides a structured, practical curriculum taught by an industry-experienced data analyst, including real datasets and workshops.

Who it is for

  • Undergraduate or graduate business students
  • Aspiring data analysts seeking practical skills
  • Professionals wanting to learn business analytics tools
  • Self-learners interested in applied analytics

Use cases

  • Following along with course lectures and assignments
  • Practicing data analysis with provided datasets and cases
  • Learning to combine R, Excel, Power BI, and SQL for business problems
  • Preparing for roles in digital marketing or business strategy

Strengths

  • Hands-on, project-based approach with real datasets
  • Covers multiple industry-standard tools (R, Excel, Power BI, SQL)
  • Includes setup guides and helper scripts for easy start
  • Instructor with real-world data analytics experience in digital marketing

Considerations

  • Repository is intended for educational use and may be incomplete or updated
  • No explicit license or contribution guidelines
  • Solutions may not be available for all assignments
  • Assumes some basic familiarity with analytics concepts

README quick start

Business Analytics 2026-3 📊

Repository for the Business Analytics course corresponding to the 2026-3 academic term, taught by Juan Nicolás Velásquez Rey (M.A. in Economics, Universidad de los Andes).

📚 Course Description

This course provides a hands-on introduction to data analytics for business decision-making. Students will work with tools such as R, Excel, Power BI, and SQL, applying analytical concepts to real-world problems in digital marketing, finance, and business strategy.

🗂 Repository Structure

  • syllabus/: Course syllabus and schedule
  • lectures/: Class materials (slides, scripts, notebooks)
  • datasets/: Datasets used in class
  • cases/: Workshops and assignments
  • solutions/: Solutions (if applicable)
  • utils/: Helper functions or scripts
  • sops/: Setup and download guides (R, RStudio, VS Code, GitHub)

🛠 Tools & Technologies

  • R & RMarkdown
  • Excel
  • Power BI
  • SQL (basic)

👨‍🏫 Instructor

Juan Nicolás Velásquez Rey
Data Analyst in Digital Marketing | Experience in A/B testing and experimental economics
📧 velasquez_juan@javeriana.edu.co


This repository is intended for educational purposes and may be updated throughout the semester.

Description

Course repository for Business Analytics, including lectures, exercises, and applied projects.

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