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

Name: Become a Python Data Analyst: Perform exploratory data analysis and gain insight into scientific computing using Python
Rating: 1 (1 reviews)

Alvaro Fuentes

Aug 2018 · Packt Publishing Ltd

1 review

Ebook

178

Pages

Tools

About this ebook

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

Book DescriptionPython 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.What you will 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

Who this book is for

Become a Python Data Analyst is for entry-level data analysts, data engineers, and BI professionals who want to make complete use of Python tools for performing efficient data analysis. Prior knowledge of Python programming is necessary to understand the concepts covered in this book

Enhance your data analysis and predictive modeling skills using popular Python toolsKey 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 techniq...

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Ratings and reviews

1 review

About the author

Alvaro Fuentes is a senior data scientist with a background in applied mathematics and economics. He has more than 14 years of experience in various analytical roles and is an analytics consultant at one of the ‘Big Three' global management consulting firms, leading advanced analytics projects in different industries like banking, technology, and consumer goods. Alvaro is also an author and trainer in analytics and data science and has published courses and books, such as 'Become a Python Data Analyst' and 'Hands-On Predictive Analytics with Python'. He has also taught data science and related topics to thousands of students both on-site and online through different platforms such as Springboard, Simplilearn, Udemy, and BSG Institute, among others.

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