Packt Publishing - Become a Python Data Analyst By Alvaro Fuentes

Enhance your data analysis and predictive modeling skills using popular Python tools


Packt Publishing - Become a Python Data Analyst By Alvaro Fuentes

Learn
  • Explore important Python libraries and learn to install Anaconda distribution
  • Understand the basics of NumPy
  • Produce informative and useful visualizations for analyzing data
  • Perform common statistical calculations
  • Build predictive models and understand the principles of predictive analytics
AboutPython is one of the most common and popular languages preferred by leading data analysts and statisticians for working with massive datasets and complex data visualizations.
Become a Python Data Analyst introduces Python’s most essential tools and libraries necessary to work with the data analysis process, right from preparing data to performing simple statistical analyses and creating meaningful data visualizations.
In this book, we will cover Python libraries such as NumPy, pandas, matplotlib, seaborn, SciPy, and scikit-learn, and apply them in practical data analysis and statistics examples. As you make your way through the chapters, you will learn to efficiently use the Jupyter Notebook to operate and manipulate data using NumPy and the pandas library. In the concluding chapters, you will gain experience in building simple predictive models and carrying out statistical computation and analysis using rich Python tools and proven data analysis techniques.
By the end of this book, you will have hands-on experience performing data analysis with Python.
Features
  • Cover all fundamental libraries for operation and manipulation of Python for data analysis
  • Implement real-world datasets to perform predictive analytics with Python
  • Access modern data analysis techniques and detailed code with scikit-learn and SciPy
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