Book Image

Become a Python Data Analyst

By : Alvaro Fuentes
Book Image

Become a Python Data Analyst

By: Alvaro Fuentes

Overview of this book

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.
Table of Contents (8 chapters)

Predictive analytics and machine learning

In this section, we will learn the basics of predictive analytics. We will also take a closer look at the machine learning approach to predictive analytics. We will then proceed to discuss the various types of machine learning models. To end this section on a high note, we will look at the components of a supervised learning model.

In this context, prediction does not necessarily refer to the future. It implies guessing something that is unknown or hasn't been observed yet.

There are many ways to predict something. We can begin by asking a high priest or a psychic, which is something humans have done for many millennia. Another approach could be to use your intuition or to ask an expert; these are more traditional business practices. There are various other ways to do this and one of the most recent and successful approaches is...