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Python: Data Analytics and Visualization

You're reading from Python: Data Analytics and Visualization Perform data processing and analysis with the help of python libraries, gain practical insights into predictive modeling and generate effective results in a variety of visually appealing charts using the plotting packages in Python

Product type Course

Published in Mar 2017

Publisher Packt

ISBN-13 9781788290098

Length 866 pages

Edition 1st Edition

Languages

Python

Tools

NumPy

Concepts

Data Analysis

Authors (4):

Martin Czygan

Ashish Kumar

Kirthi Raman

Phuong Vo.T.H

View More author details

Table of Contents (6) Chapters

Preface

1. Module 1

2. Module 2 FREE CHAPTER

3. Module 3

Bibliography

Index

Chapter 1. Getting Started with Predictive Modelling

Predictive modelling is an art; its a science of unearthing the story impregnated into silos of data. This chapter introduces the scope and application of predictive modelling and shows a glimpse of what could be achieved with it, by giving some real-life examples.

In this chapter, we will cover the following topics in detail:

Introducing predictive modelling
Applications and examples of predictive modelling
Installing and downloading Python and its packages
Working with different IDEs for Python

Introducing predictive modelling

Did you know that Facebook users around the world share 2,460,000 pieces of content every minute of the day? Did you know that 72-hours worth of new video content is uploaded on YouTube in the same time and, brace yourself, did you know that everyday around 2.5 exabytes (10^18) of data is created by us humans? To give you a perspective on how much data that is, you will need a million 1 TB (1000 GB) hard disk...

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Python: Data Analytics and Visualization

Published in: Mar 2017

Publisher: Packt

ISBN-13: 9781788290098

© 2017 Packt Publishing Limited All Rights Reserved

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Authors (4)

Kirthi Raman

Kirthi Raman

Kirthi Raman is currently working as a lead data engineer with Neustar Inc, based in Mclean, Virginia USA. Kirthi has worked on data visualization, with a focus on JavaScript, Python, R, and Java, and is a distinguished engineer. Previously, he worked as a principle architect, data analyst, and information retrieval specialist at Quotient, Inc. Kirthi has also worked as a technical lead and manager for a start-up. He has taught discrete mathematics and computer science for several years. Kirthi has a graduate degree in mathematics and computer science from IIT Delhi and an MS in computer science from the University of Maryland. He has written several white papers on data analysis and big data.

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Phuong Vo.T.H

Phuong Vo.T.H

Phuong Vo.T.H has a MSc degree in computer science, which is related to machine learning. After graduation, she continued to work in some companies as a data scientist. She has experience in analyzing users' behavior and building recommendation systems based on users' web histories. She loves to read machine learning and mathematics algorithm books, as well as data analysis articles.

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Martin Czygan

Martin Czygan

Martin Czygan studied German literature and computer science in Leipzig, Germany. He has been working as a software engineer for more than 10 years. For the past eight years, he has been diving into Python, and is still enjoying it. In recent years, he has been helping clients to build data processing pipelines and search and analytics systems.

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Ashish Kumar

Ashish Kumar

Ashish Kumar is on a mission to make this planet safer for digital transformation. Ashish leads Microsoft security engineering teams in learning about customers, partners, and market priorities on cybersecurity. He works with various universities, government, and large enterprises to help them build a secure digital posture and go deeper into digital transformation impacting every person on the planet. An Enthusiastic self-starter, goal-driven achiever, and motivated team player with a creative and progressive attitude is on a journey to share his experiences with you.

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