Data Analysis for Business Students by Michael Xin Guo (.ePUB)+

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File Size: 37.2 MB

Data Analysis for Business Students: A Mind-Mapping Approach by Michael Xin Guo
Requirements: .ePUB, .PDF reader, 37.2 MB
Overview: Data Analysis for Business Students: A Mind-Mapping Approach is an innovative educational resource that guides business students in mastering the essential concepts and methodologies of data analysis. This textbook’s unique instructional design incorporates mind maps, a proven cognitive tool to streamline the learning experience, making complex data analysis concepts more digestible. Organised into five parts, the textbook covers an introduction to data analysis, data preparation and exploratory analysis, basic data analytics techniques, advanced data analytics techniques, and data analysis in a digital world. By integrating mind maps with practical applications and case studies, the textbook equips students with the analytical skills required to succeed in the data-rich business world. Python offers several features that make it ideal for data analysis. One key advantage is its ease of learning and use. Python’s simple syntax and readability make it accessible for beginners while allowing experienced programmers to develop complex applications. Another advantage is versatility. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Python’s extensive library ecosystem simplifies tasks ranging from data manipulation and visualisation to Machine Learning and Deep Learning. With extensive online resources, including PowerPoint slides, an instructor’s manual, a quiz bank, tutorial questions, instructional videos on creating mind maps, and Python code for performing data analysis that students can access, use, and experiment with, Data Analysis for Business Students: A Mind-Mapping Approach offers a structured and accessible approach for advanced undergraduate and postgraduate business students.
Genre: Non-Fiction > Tech & Devices

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