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Data Analysis and Visualization Using Python

Analyze Data to Create Visualizations for BI Systems

  • Book
  • © 2018

Overview

Authors:
  1. Dr. Ossama Embarak

    1. Higher Colleges of Technology, Abu Dhabi, United Arab Emirates

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  • Features a detailed business case on effective strategies on data visualization
  • Covers abstraction of the Series and DataFrames
  • Includes a business case study in the concluding chapter of the book

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. Introduction to Data Science with Python

    • Ossama Embarak
    Pages 1-83

  3. The Importance of Data Visualization in Business Intelligence

    • Ossama Embarak
    Pages 85-124

  4. Data Collection Structures

    • Ossama Embarak
    Pages 125-181

  5. File I/O Processing and Regular Expressions

    • Ossama Embarak
    Pages 183-204

  6. Data Gathering and Cleaning

    • Ossama Embarak
    Pages 205-241

  7. Data Exploring and Analysis

    • Ossama Embarak
    Pages 243-292

  8. Data Visualization

    • Ossama Embarak
    Pages 293-342

  9. Case Studies

    • Ossama Embarak
    Pages 343-366

  10. Back Matter

    Pages 367-374
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Keywords

About this book

Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business decisions. Starting with an introduction to data science with Python, you will take a closer look at the Python environment and get acquainted with editors such as Jupyter Notebook and Spyder. After going through a primer on Python programming, you will grasp fundamental Python programming techniques used in data science. Moving on to data visualization, you will see how it caters to modern business needs and forms a key factor in decision-making. You will also take a look at some popular data visualization libraries in Python. 


Shifting focus to data structures, you will learn the various aspects of data structures from a data science perspective. You will then work with file I/O and regular expressions in Python, followed by gathering and cleaning data. Moving on to exploring and analyzing data, you will look at advanced data structures in Python. Then, you will take a deep dive into data visualization techniques, going through a number of plotting systems in Python. 


In conclusion, you will complete a detailed case study, where you’ll get a chance to revisit the concepts you’ve covered so far.


What You Will Learn
  • Use Python programming techniques for data science
  • Master data collections in Python 
  • Create engaging visualizations for BI systems
  • Deploy effective strategies for gathering and cleaning data
  • Integrate the Seaborn and Matplotlib plotting systems

Who This Book Is For


Developers with basic Python programming knowledge looking to adopt key strategies for data analysis and visualizations using Python.




Authors and Affiliations

  • Higher Colleges of Technology, Abu Dhabi, United Arab Emirates

    Dr. Ossama Embarak

About the author

Dr. Ossama Embarak holds a Doctorate in Computer Science from the Heriot-Watt University in Scotland, UK. He has more than 2 decades of training and teaching experience with a number of programming languages including C++, Java, C#, R, and Python. He is presently the lead CIS Program Coordinator for Higher Colleges of Technology, UAE’s largest applied higher educational institution, with over 23,000 students attending campuses throughout the region.Recently, he got an interdisciplinary research grant of 199000 AED to implement a machine learning system for mining students’ knowledge and skills.

He has participated in many scholarly activities as a reviewer for journals in the field of computer and information sciences, artificial intelligence, mobile and web technologies. He has published numerous papers in datamining and knowledge discovery, and was also involved as a co-chair for the Technical Program Committee (TPC) for various regional and international conferences.


Bibliographic Information

  • Book Title: Data Analysis and Visualization Using Python

  • Book Subtitle: Analyze Data to Create Visualizations for BI Systems

  • Authors: Dr. Ossama Embarak

  • DOI: https://doi.org/10.1007/978-1-4842-4109-7

  • Publisher: Apress Berkeley, CA

  • eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)

  • Copyright Information: Dr. Ossama Embarak 2018

  • Softcover ISBN: 978-1-4842-4108-0Published: 20 November 2018

  • eBook ISBN: 978-1-4842-4109-7Published: 20 November 2018

  • Edition Number: 1

  • Number of Pages: XX, 374

  • Number of Illustrations: 267 b/w illustrations

  • Topics: Python, Open Source, Big Data

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