Data Analysis Handbook
personal website
github
PART 5. DATA VISUALIZATIONS
14
Colors
Preface
PART 1. ABOUT DATA
1
What is Data Analysis?
2
Data Perspectives
3
Data Storage
PART 2. PROGRAMMING IN R
4
Intro to R
5
R API’s
PART 3. PROGRAMMING IN PYTHON
6
Introduction to Python
7
Python API’s
PART 4. SQL
8
SQL
9
Advanced SQL
10
Data Collection
11
NoSQL Databases
12
Extract, Transform, and Load
PART 5. DATA VISUALIZATIONS
13
Visualization Basics
14
Colors
15
Interactive Visualizations
16
Advanced Interactive Visualizations
17
Tableau
PART 6. MACHINE LEARNING
18
Unsupervised Learning
19
Supervised Learning
20
Neural Networks and Deep Learning
PART 8. BIG DATA
21
Big Data
References
14
Colors
Code
13
Visualization Basics
15
Interactive Visualizations
Source Code
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