Statistics for Business Analytics and Data Science A-Z™, Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!
- Created by Kirill Eremenko, SuperDataScience Team
- English
- English [Auto-generated], Spanish [Auto-generated]
- 7 hours on-demand video
- 2 articles
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
What you'll 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
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