Statistics for Business Analytics and Data Science A-Z™

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About Course

Looking to launch a career in Data Science or Business Analytics? This free Statistics for Business Analytics and Data Science course from Udemy can help you build the essential skills you need.

Learn practical statistics concepts that are crucial for a data-driven career. This course will cover topics like distributions, the z-test, the Central Limit Theorem, hypothesis testing, confidence intervals, statistical significance, and more.

This course is designed to be practical and engaging, with real-world examples of business challenges that demonstrate how you can apply this knowledge to your career. Enroll now and unlock your potential!

What Will You Learn?

  • Understand what a Normal Distribution is
  • Understand standard deviations
  • Explain the difference between continuous and discrete variables
  • Understand what a sampling distribution is
  • Understand the Central Limit Theorem
  • Apply the Central Limit Theorem in practice
  • Apply Hypothesis Testing for Means
  • Apply Hypothesis Testing for Proportions
  • Use the Z-Score and Z-Tables
  • Use the t-Score and t-Tables
  • Understand the difference between a normal distribution and a t-distribution
  • Understand and apply statistical significance
  • Create confidence intervals
  • Understand the potential pitfalls of overusing p-Values

Course Content

Welcome to the course

  • A Message from the Professor
  • Welcome!
    02:09

Distributions

Central Limit Theorem

Hypothesis Testing Statistical Significance

Advanced Hypothesis Testing

Vitaly Dolgov’s Guest Section

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