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This book provides an introduction to database learning with examples of SQL and some of the more common SQL commands. It can be used as an introductory text along with other excellent database texts. It teaches you the concepts necessary for building databases before introducing SQL commands.
The Data Scientist's Toolbox is designed to help you on the road to learning statistics, probability, machine learning, numerical computing, and the entire data science toolbox. Within you will find easy tools that you can use to learn, fine-tune or even master advanced concepts leading to learning the skills needed to be successful in your current and future career. Whether you are a beginner, intermediate or professional, you can benefit from learning Statistics, Probability, Machine Learning, Numerical Computing, Data Visualization and a...
The box on the left lists some of the basic items used in data science. Many pieces of software are available for practicing the data science process. For example, Python is a popular, easy to use tool, and is the appropriate choice for writing this book.
This book offers a great introduction to programming. While it does raise questions about the computer’s performance when following a mathematical approach, it is not difficult and it introduces many concepts quite quickly.
An Introduction to Computational Thinking Tools is a detailed description of an introduction to two programs, Python and R, on a variety of machines (to be used as learning tools). By studying this book you will get a good intro in using Python and R. d2c66b5586