Data Science

Bridge the gap between developer and data scientist by creating a modern open-source, Python-based toolset that works with Jupyter Notebook, and PixieDust.

Gain useful insights from your data using popular data science tools

Take the strategic and systematic approach to analyze data to solve business problems

Begin as a novice and become an expert data scientist who implements linear algebra through Python programs

This book enables students to use Python to implement modern data science techniques for business decisions as well as research.

Big data processing and analytics at speed and scale using command line tools.

Find, explore, and extract big data to transform into actionable insights

Practical examples for professionals using R in Data science

Optimize your marketing strategies through analytics and machine learning

Get unique insights from your data by combining the power of SQL Server, R and Python

Build a strong foundation of machine learning algorithms in 7 days

Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications.