Statistics for Data Science

What Will You Learn?

• Statistics fundamentals
• Probability concepts
• Hypothesis testing
• Regression analysis
• Data visualization
• Data-driven decisions

Material Includes

• Get access to curated notes, guides, and reference materials that help you revise concepts anytime, even offline
• Work on practical assignments and real-life scenarios to build job-ready skills and strengthen your portfolio
• Test your understanding with interactive quizzes and module-based assessments to track your progress and reinforce learning
• Practice what you learn with guided exercises that help you gain confidence in applying concepts independently

Requirements

• Basic understanding of mathematics (especially algebra and arithmetic).
• Familiarity with Microsoft Excel or any basic data-handling tool (helpful but not mandatory).
• No prior programming experience required — Python fundamentals will be introduced in the course.
• A curious and analytical mindset with a willingness to learn data-driven problem-solving.

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