Statistics for Data Science and Business Analysis
Categories: Data Analyst
About Course
Nội dung bài học
-
Understand the fundamentals of statistics
-
Learn how to work with different types of data
-
How to plot different types of data
-
Calculate the measures of central tendency, asymmetry, and variability
-
Calculate correlation and covariance
-
Distinguish and work with different types of distributions
-
Estimate confidence intervals
-
Perform hypothesis testing
-
Make data driven decisions
-
Understand the mechanics of regression analysis
-
Carry out regression analysis
-
Use and understand dummy variables
-
Understand the concepts needed for data science even with Python and R!
Course Content
01 – Introduction
02 – Sample or population data
03 – The fundamentals of descriptive statistics
-
-
04:33
-
03:43
-
04:52
-
03:10
-
02:14
-
04:44
04 – Measures of central tendency, asymmetry, and variability
-
-
04:20
-
02:37
-
05:55
-
04:40
-
03:23
-
03:17
05 – Practical example descriptive statistics
06 – Distributions
07 – Estimators and estimates
-
-
03:07
-
02:41
-
08:01
-
04:38
-
03:23
-
04:36
-
04:53
08 – Confidence intervals advanced topics
-
-
06:04
-
04:31
-
03:57
-
01:27
09 – Practical example inferential statistics
10 – Hypothesis testing Introduction
11 – Hypothesis testing Let’s start testing!
-
-
06:34
-
04:13
-
04:49
-
05:18
-
04:22
-
04:26
12 – Practical example hypothesis testing
13 – The fundamentals of regression analysis
-
-
01:02
-
04:13
-
05:50
-
01:44
-
01:25
-
05:46
14 – Subtleties of regression analysis
-
-
03:38
-
05:24
-
02:24
-
04:54
-
02:56
-
05:24
-
02:01
