Books and Authors at Data Day Texas
The following Data Day Texas speakers will have copies of their books on hand during office hours.
Data Science from Scratch (Joel Grus)
Joel's book is a first-principles-based, practical introduction to the fundamentals of data science aimed at the mathematically-comfortable reader with some programming skills. The book covers:
The important parts of Python to know | The important parts of Math / Probability / Statistics to know | The basics of data science | How commonly-used data science techniques work (learning by implementing them) | What is Map-Reduce and how to do it in Python | Other applications such as NLP, Network Analysis, and more
Creating the Data-Driven Organization (Carl Anderson)
Through insightful interviews and examples from a variety of industries, Creating a Data-Driven Organization enumerates the different aspects of culture that contribute to great What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company, from analysts and management to the C-Suite and the board.
Through interviews and examples from data scientists and analytics leaders in a variety of industries, author Carl Anderson explains the analytics value chain you need to adopt when building predictive business models—from data collection and analysis to the insights and leadership that drive concrete actions. You’ll learn what works and what doesn’t, and why creating a data-driven culture throughout your organization is essential.
I Heart Logs: Event Data, Stream Processing, and Data Integration (Jay Kreps)
Why a book about logs? That’s easy: the humble log is an abstraction that lies at the heart of many systems, from NoSQL databases to cryptocurrencies. Even though most engineers don’t think much about them, this short book shows you why logs are worthy of your attention.
Based on his popular blog posts, LinkedIn principal engineer Jay Kreps shows you how logs work in distributed systems, and then delivers practical applications of these concepts in a variety of common uses—data integration, enterprise architecture, real-time stream processing, data system design, and abstract computing models.
Webscraping with Python (Ryan Mitchell)
Want to freely access unlimited data from any web source, in any format? Automated gathering and manipulation of data from across the web helped launch Facebook in its early days, and is the foundation of Google's search engine today. With this book, you’ll learn how to gather unlimited data from any web source and use it for your own studies or web applications.
Web scraping is a technology nearly as old as the web itself, but the techniques used must keep pace with web technologies in order to remain viable. Web Scraping with Python not only teaches you the basics of web scraping, but also gets you up to speed on cutting-edge security and technology considerations in one comprehensive guide.