Just this week, I have become aware of 3 free online books for data science.

## Data Visualization with Javascript

If you are looking for a tutorial to teach you how to make wonderful visualizations on the web, look no further. **Data Visualization with JavaScript** is a free online book for learning data visualization with Javascript. It provides tons of examples and step by step instructions for how to create the graphs, charts, and other visualizations. Here is a quick list of the topics:

- Graphs
- D3.js
- Interactive Charts
- Geographic Plots
- Timelines

## Frontiers in Massive Datasets

**Frontiers in Massive Datasets** is a report all about how science, business, communications, national security and others need to learn to handle massive amounts of data. Whether the data has been sitting in a database for years or it is now just screaming into the systems, massive data is now a problem for almost every industry. This report covers many of the topics that need to be addressed when dealing with big data. Here is a very brief overview of the topics:

- Limitations
- Sampling
- Building Models from Massive Data
- Real-time Algorithms
- 7 Computational Giants of Massive Data Analysis

## Foundations of Data Science

**Foundations of Data Science** is a draft of textbook written by John Hopcroft and Ravindran Kannan. It is intended to be a text for computer science with an emphasis more on probability and statistics rather than discrete mathematics. The authors argue that knowledge of working with data is a necessary skill for computer scientists of the future. This is clearly the most technical and academic of the 3 books, but if that is your thing, your should really enjoy browsing through this book. Here are some of the topics.

- High-Dimensional Space
- Clustering
- Algorithms for Massive Data Problems
- Singular Value Decomposition
- Graphical Models

Again a very nice blogpost Ryan, thank you for sharing. Is it ok if I repost it on datasciencebe.com, the blogsite of the Brussels Data Science Community ?

Philippe,

Sure, thanks for sharing.

Ryan

Reblogged this on Kripa writes and commented:

Saw this after my earlier post. Another couple of free resources.