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You're reading from  Big Data Analysis with Python

Product typeBook
Published inApr 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789955286
Edition1st Edition
Languages
Python
Tools
MatplotlibHadoop
Concepts
Data Visualization
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Authors (3):
Ivan Marin
Ivan Marin
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Ivan Marin

Ivan Marin is a systems architect and data scientist working at Daitan Group, a Campinas-based software company. He designs big data systems for large volumes of data and implements machine learning pipelines end to end using Python and Spark. He is also an active organizer of data science, machine learning, and Python in So Paulo, and has given Python for data science courses at university level.
Read more about Ivan Marin

Ankit Shukla
Ankit Shukla
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Ankit Shukla

Ankit Shukla is a data scientist working with World Wide Technology, a leading US-based technology solution provider, where he develops and deploys machine learning and artificial intelligence solutions to solve business problems and create actual dollar value for clients. He is also part of the company's R&D initiative, which is responsible for producing intellectual property, building capabilities in new areas, and publishing cutting-edge research in corporate white papers. Besides tinkering with AI/ML models, he likes to read and is a big-time foodie.
Read more about Ankit Shukla

Sarang VK
Sarang VK
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Sarang VK

Sarang VK is a lead data scientist at StraitsBridge Advisors, where his responsibilities include requirement gathering, solutioning, development, and productization of scalable machine learning, artificial intelligence, and analytical solutions using open source technologies. Alongside this, he supports pre-sales and competency.
Read more about Sarang VK

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Introduction

One of the most important stages, and the initial step of a data science project, is understanding and defining a business problem. However, this cannot be a mere reiteration of the existing problem as a statement or a written report. To investigate a business problem in detail and define its purview, we can either use the existing business metrics to explain the patterns related to it or quantify and analyze the historical data and generate new metrics. Such identified metrics are the Key Performance Indicators (KPIs) that measure the problem at hand and convey to business stakeholders the impact of a problem.

This chapter is all about understanding and defining a business problem, identifying key metrics related to it, and using these identified and generated KPIs through pandas and similar libraries for descriptive analytics. The chapter also covers how to plan a data science project through a structured approach and methodology, concluding with how to represent a problem...

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Big Data Analysis with Python
Published in: Apr 2019Publisher: PacktISBN-13: 9781789955286
© 2019 Packt Publishing Limited All Rights Reserved

Authors (3)

author image
Ivan Marin

Ivan Marin is a systems architect and data scientist working at Daitan Group, a Campinas-based software company. He designs big data systems for large volumes of data and implements machine learning pipelines end to end using Python and Spark. He is also an active organizer of data science, machine learning, and Python in So Paulo, and has given Python for data science courses at university level.
Read more about Ivan Marin

author image
Ankit Shukla

Ankit Shukla is a data scientist working with World Wide Technology, a leading US-based technology solution provider, where he develops and deploys machine learning and artificial intelligence solutions to solve business problems and create actual dollar value for clients. He is also part of the company's R&D initiative, which is responsible for producing intellectual property, building capabilities in new areas, and publishing cutting-edge research in corporate white papers. Besides tinkering with AI/ML models, he likes to read and is a big-time foodie.
Read more about Ankit Shukla

author image
Sarang VK

Sarang VK is a lead data scientist at StraitsBridge Advisors, where his responsibilities include requirement gathering, solutioning, development, and productization of scalable machine learning, artificial intelligence, and analytical solutions using open source technologies. Alongside this, he supports pre-sales and competency.
Read more about Sarang VK

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