Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!
Instructed by Kirill Eremenko 6 hours on-demand video & 3 articles
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
Who this course is for:
- 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
Deal Score+1
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
