Data Analysis and Visualization Using Python

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.

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

Autorentext
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.

Inhalt
Chapter 1: Introduction to data science with python.- Chapter 2: The importance of data visualization in business intelligence.- Chapter 3: Data collections structure.- Chapter 4: File I/O processing & Regular expressions.- Chapter 5: Data gathering and cleaning.- Chapter 6: Data exploring and analysis.- Chapter 7: Data visualization.- Chapter 8: Case Study.