Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems - Tapa blanda

Embarak, Dr. Ossama

 
9781484241080: Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems
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ISBN 10: 1484241088 ISBN 13: 9781484241080
Editorial: Apress, 2018

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

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.

De la contraportada

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.

You will:
  • 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

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Apress
Año de publicación
2018
Idioma
Inglés
ISBN 10 
1484241088
ISBN 13 
9781484241080
Encuadernación
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Número de edición
1
Número de páginas
396
Contacto del fabricante
Springer Nature Customer Service Center GmbH
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Europaplatz 3,69115 Heidelberg, Germany
Heidelberg
69115
Alemania

Otras ediciones populares con el mismo título

9781484246528: DATA ANALYSIS AND VISUALIZATION USING PYTHON: ANALYZE DATA TO CREATE VISUALIZATIONS FOR BI SYSTEMS

Edición Destacada

ISBN 10:  1484246527 ISBN 13:  9781484246528
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