Data Analytics and Data Visualization
Turn raw data into useful findings by cleaning it, analyzing patterns, and presenting results in clear charts and reports.
Prerequisite skills
Comfort using a computer and working with tables. Basic Excel or Google Sheets skills are helpful; prior SQL or Python programming is not required.
Knowledge you need
Basic arithmetic, percentages, averages, and reading tables. Knowledge of Excel formulas, filters, and sorting is useful.
Skills you will develop
Clean and summarize data in spreadsheets; calculate and interpret common measures; use SQL SELECT, WHERE, GROUP BY, and JOIN for basic analysis; create clear charts and dashboards; and explain results accurately.
Where you can apply it
Prepare sales, budget, and finance reports; track project or program results; analyze customer feedback and operations; compare performance over time; summarize research and survey findings; create management dashboards; and communicate evidence for planning in business, education, health, and public services.
Recommendation to Learners
Choose this course if you want to answer practical questions with evidence and communicate the answer clearly. Teams in almost every sector need people who can turn spreadsheets and records into reliable reports, spot changes, and explain what the numbers mean. These skills can improve decisions in your current role and provide a practical path toward business intelligence, reporting, and analytics work.