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Become a Python Data Analyst

You're reading from Become a Python Data Analyst

Product type Book

Published in Aug 2018

Publisher Packt

ISBN-13 9781789531701

Pages 178 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Alvaro Fuentes

Table of Contents (8) Chapters

Preface

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

7. Other Books You May Enjoy

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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's tools for performing efficient data analysis. Prior knowledge of Python programming is necessary to understand the concepts covered in this book.

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Authors (1)

Alvaro Fuentes

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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