E-book details

Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python

Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python

Alvaro Fuentes

Ebook
Python 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.
  • 1. The Anaconda Distribution and Jupyter Notebook
  • 2. Vectorizing Operations with Numpy
  • 3. Pandas: Everyone’s Favorite Data Analysis Library
  • 4. Visualization and Exploratory Data Analysis
  • 5. Statistical Computing with Python
  • 6. Introduction to Predictive Analytics Models
  • Title: Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python
  • Author: Alvaro Fuentes
  • Original title: Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python
  • ISBN: 9781789534405, 9781789534405
  • Date of issue: 2018-08-31
  • Format: Ebook
  • Item ID: e_157x
  • Publisher: Packt Publishing