Build a Learning Habit
Download Class Central's free printable study calendar
Download for Free
This course equips students with the ability to move beyond describing data to making evidence-based claims. This course emphasizes statistical testing and estimation methods that inform real-world business decisions.
Through applications in industries such as manufacturing, logistics, finance, and sales, learners will:
- Conduct hypothesis tests to compare means and evaluate differences.
- Apply one-sample and two-sample t-tests to real data.
- Use ANOVA to compare performance across multiple groups.
- Design and analyze A/B tests to measure strategy effectiveness.
- Construct and interpret confidence intervals to express uncertainty.
- Employ chi-squared tests for categorical data analysis.
Hands-on labs allow learners to apply Python-based tools to business problems, from testing customer satisfaction to comparing product performance. By the end, students will be prepared to evaluate claims, assess risks, and support data-driven strategies with confidence.
