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
DS & AI Instructor

Created by: SuperDataScience Team
Helping Data Scientists Succeed

Created by: Ligency Team
Helping Data Scientists Succeed

What Will I 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

Requirements

• Just a basic knowledge of high school maths

Target audience

• Anybody who wants to master stats for business analytics
• Anybody who wants to learn stats from the ground up
• Anybody who wants to get hands-on experience with stats