Sobre
This course introduces learners to the core principles and practical techniques of data analysis, equipping them to collect, clean, analyze, and interpret data effectively. Through hands-on exercises using Microsoft Excel, Google Sheets, or Python (optional), learners will gain the ability to turn raw data into actionable business insights. 📘 Course Objectives By the end of this course, learners will be able to: Understand key concepts and stages in the data analysis process. Organize, clean, and validate data for accuracy. Use spreadsheets and analytical tools to perform basic analysis. Create visualizations and dashboards to present data effectively. Interpret data insights to support informed decision-making. Communicate analytical findings clearly to stakeholders. 🕓 Course Duration 4 Weeks (Self-paced or Instructor-led) Estimated time: 20–25 hours 🧠 Learning Methods Step-by-step video tutorials Guided exercises and quizzes Downloadable data templates and datasets Final mini-project with instructor feedback 🧾 Assessment Practical assignments (Excel-based) Quizzes at the end of each module Final project report and presentation Certificate of Completion (80% pass score) 🎓 Target Audience Beginners in data analysis Professionals looking to improve data literacy Business owners and administrators Students and researchers who use data in projects 💻 Delivery Mode 100% Online (self-paced or instructor-led) Accessible via mobile or desktop Includes downloadable exercises and practice datasets
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Vista general
Data Collection & Cleaning
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