• Learning Path
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• Data

This learning path is actively in production. More content will be added to this page as it gets published and becomes available in the library. Planned content includes: - Introduction to Statistics (video course) - Analyze a Dataset with Descriptive Statistics (code lab) - Introduction to Probability (video course) - Understanding Data Distributions (video course) - Explore Statistical Distributions in Data (code lab) - Testing Hypotheses with Data (video course) - Test a Business Question with Statistical Hypothesis Testing (code lab) - Correlation and Relationships in Data (video course) - Analyze Relationships in Data using Correlation (code lab) - Statistical Thinking and Communication (video course)

Statistics help data professionals and businesses turn raw data into trustworthy insights, better decisions, and clearer communication. This learning path aims to build a foundation in core statistical concepts, including probability, data distributions, hypothesis testing, correlation, and statistical communication. With a focus on creating an approachable experience for data practitioners and business professionals looking to become more data-savvy, this learning path emphasizes real-world understanding and application of statistics over deep academic theory.