Data Analytics Fundamentals
This micro-credential focuses on critical data analysis skills, including data wrangling, data visualization, and statistical analysis. Earning criteria include completing three core modules and a final project using real-world datasets. Graduates are prepared for data-driven decision-making roles in various industries. Learners must not miss more than 4 sessions, complete and pass all 4 projects, and 15 challenge assignments to earn the badge.
- Type Learning
- Level Foundational
- Time Months
- Cost Free
Skills
Earning Criteria
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To earn the Data Analytics Fundamentals badge, learners collect and clean raw datasets, create visualizations using tools like Tableau or Power BI, and analyze patterns through statistical methods. They will generate insights using quantitative techniques and present a final project showcasing data-driven recommendations.