About Course
Overview
The Statistics Essentials for Analytics course is designed to provide learners with a solid foundation in statistical concepts and techniques that are crucial for data-driven decision-making. Since statistics is the backbone of data analytics, this course focuses on the methods used to analyze, interpret, and present data.
Whether you’re a beginner in analytics or an experienced professional aiming to strengthen your statistical knowledge, this program ensures you gain the skills needed to apply statistics in real-world business and analytical contexts.
Course Details
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Duration: 4–6 weeks (self-paced or instructor-led)
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Learning Format: Online / Classroom / Blended
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Prerequisites: Basic mathematics knowledge
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Tools Used: Excel, R, Python (optional)
Course Content
Module 1: Introduction to Statistics
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Importance of statistics in analytics
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Types of data: qualitative vs. quantitative
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Scales of measurement: nominal, ordinal, interval, ratio
Module 2: Descriptive Statistics
Module 3: Probability Basics
Module 4: Inferential Statistics
Module 5: Hypothesis Testing
Module 6: Correlation and Regression Analysis
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