Yuvijen
Data Analytics
Books
Contact
References
1
Welcome
Author
Live Analytics Lab
Syllabus
I : Fundamentals of Data Analytics
Understanding Data
2
Data and Its Types
3
Classification and Tabulation of Data
Organizing Data
4
Class Intervals and Grouping
5
Frequency Distribution
II : Descriptive Statistics
Summarizing Data
6
Measures of Central Tendency
7
Measures of Dispersion
Describing Distribution Shape
8
Measures of Skewness
9
Measures of Kurtosis
III : Probability
Foundations of Probability
10
Basic Probability Concepts
11
Conditional Probability and Bayes’ Theorem
Probability Distributions
12
Discrete Probability Distributions
13
The Normal Distribution
14
Sampling and Statistical Inference
Foundations of Sampling
15
Sampling and Sampling Methods
16
Sampling Distributions and the Central Limit Theorem
Estimation and Testing
17
Estimation and Confidence Intervals
18
Hypothesis Testing
19
Comparing Groups
Measurements and Categories
20
Comparing Two Groups
21
Chi-Square Tests
Analysis of Variance
22
One-Way ANOVA
23
Two-Way and Repeated Measures ANOVA
24
Relationships and Prediction
Correlation and Regression
25
Correlation
26
Simple Linear Regression
Multiple Regression
27
Multiple Regression
28
Regression Diagnostics and Model Evaluation
29
Data Visualization
Seeing the Data
30
The Grammar of Graphics
31
Choosing the Form the Data Deserves
Charts That Tell the Truth
32
How a Chart Lies
33
Designing for a Reader Who Will Not Ask
34
Analysis From End to End
Reading the Data
35
The Question and the Data
36
What the Data Says on Its Own
References
References
36
What the Data Says on Its Own